Zscaler MCP Server
Zscaler Integration MCP Server is a Model Context Protocol (MCP) server designed for managing Several Zscaler Products using Large Language Models (LLMs).
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zscaler-mcp-server is a Model Context Protocol (MCP) server that connects AI agents with the Zscaler Zero Trust Exchange platform. By default, the server operates in read-only mode for security, requiring explicit opt-in to enable write operations.
Support Disclaimer
-> Disclaimer: Please refer to our General Support Statement before proceeding with the use of this provider. You can also refer to our troubleshooting guide for guidance on typical problems.
[!IMPORTANT] π§ Public Preview: This project is currently in public preview and under active development. Features and functionality may change before the stable 1.0 release. While we encourage exploration and testing, please avoid production deployments. We welcome your feedback through GitHub Issues to help shape the final release.
π Table of contents
- πΊ Overview
- π Security & Permissions
- π MCP Client Authentication
- Supported Tools
- Installation & Setup
- Usage
- Zscaler API Credentials & Authentication
- As a Library
- Container Usage
- Editor/Assistant Integration
- Additional Deployment Options
- Using the MCP Server with Agents
- Platform Integrations
- Troubleshooting
- License
πΊ Overview
The Zscaler Integrations MCP Server brings context to your agents. Try prompts like:
- "List my ZPA Application segments"
- "List my ZPA Segment Groups"
- "List my ZIA Rule Labels"
[!WARNING] π READ-ONLY BY DEFAULT: For security, this MCP server operates in read-only mode by default. Only
list_*andget_*operations are available. To enable tools that can CREATE, UPDATE, or DELETE Zscaler resources, you must explicitly enable write mode using the--enable-write-toolsflag or by settingZSCALER_MCP_WRITE_ENABLED=true. See the Security & Permissions section for details.
[!TIP] Writing effective prompts: This server exposes 300+ tools across multiple Zscaler services. Most MCP clients (Claude Desktop, Cursor, etc.) use deferred tool loading and will search for relevant tools based on your prompt. For best results, be specific about the service and action in your prompts:
- Good: "List my ZPA application segments" β targets the right service and tool directly
- Good: "Show ZIA firewall rules" β clear service (
zia) and action (list)- Less effective: "Show me my devices" β ambiguous; multiple services expose device-related tools
When a service is disabled, its tools are fully removed from the server. However, the AI agent may still attempt to find related tools in other services. If you get unexpected results, refine your prompt with the specific service name (e.g.
zpa,zia,zdx,zcc,zms).
π Security & Permissions
The Zscaler MCP Server implements a security-first design with granular permission controls and safe defaults:
Read-Only Mode (Default - Always Available)
By default, the server operates in read-only mode, exposing only tools that list or retrieve information:
- β ALWAYS AVAILABLE - Read-only tools are registered by the server
- β Safe to use with AI agents autonomously
- β No risk of accidental resource modification or deletion
- β
All
list_*andget_*operations are available (110+ read-only tools) - β All
create_*,update_*, anddelete_*operations are disabled by default - π‘ Note: You may need to enable read-only tools in your AI agent's UI settings
# Read-only mode (default - safe)
zscaler-mcp
When the server starts in read-only mode, you'll see:
π Server running in READ-ONLY mode (safe default)
Only list and get operations are available
To enable write operations, use --enable-write-tools AND --write-tools flags
π‘ Read-only tools are ALWAYS registered by the server regardless of any flags. You never need to enable them server-side. Note: Your AI agent UI (like Claude Desktop) may require you to enable individual tools before use.
Write Mode (Explicit Opt-In - Allowlist REQUIRED)
To enable tools that can create, modify, or delete Zscaler resources, you must provide BOTH flags:
- β
--enable-write-tools- Global unlock for write operations - β
--write-tools "pattern"- MANDATORY explicit allowlist
π SECURITY: Allowlist is MANDATORY - If you set
--enable-write-toolswithout--write-tools, 0 write tools will be registered. This ensures you consciously choose which write operations to enable.
# β WRONG: This will NOT enable any write tools (allowlist missing)
zscaler-mcp --enable-write-tools
# β
CORRECT: Explicit allowlist required
zscaler-mcp --enable-write-tools --write-tools "zpa_create_*,zpa_delete_*"
When you try to enable write mode without an allowlist:
β οΈ WRITE TOOLS MODE ENABLED
β οΈ NO allowlist provided - 0 write tools will be registered
β οΈ Read-only tools will still be available
β οΈ To enable write operations, add: --write-tools 'pattern'
Write Tools Allowlist (MANDATORY)
The allowlist provides two-tier security:
- β
First Gate:
--enable-write-toolsmust be set (global unlock) - β Second Gate: Explicit allowlist determines which write tools are registered (MANDATORY)
Allowlist Examples:
# Enable ONLY specific write tools with wildcards
zscaler-mcp --enable-write-tools --write-tools "zpa_create_*,zpa_delete_*"
# Enable specific tools without wildcards
zscaler-mcp --enable-write-tools --write-tools "zpa_create_application_segment,zia_create_rule_label"
# Enable all ZPA write operations (but no ZIA/ZDX/ZTW)
zscaler-mcp --enable-write-tools --write-tools "zpa_*"
Or via environment variable:
export ZSCALER_MCP_WRITE_ENABLED=true
export ZSCALER_MCP_WRITE_TOOLS="zpa_create_*,zpa_delete_*"
zscaler-mcp
Wildcard patterns supported:
zpa_create_*- Allow all ZPA creation toolszpa_delete_*- Allow all ZPA deletion toolszpa_*- Allow all ZPA write tools*_application_segment- Allow all operations on application segmentszpa_create_application_segment- Exact match (no wildcard)
When using a valid allowlist, you'll see:
β οΈ WRITE TOOLS MODE ENABLED
β οΈ Explicit allowlist provided - only listed write tools will be registered
β οΈ Allowed patterns: zpa_create_*, zpa_delete_*
β οΈ Server can CREATE, MODIFY, and DELETE Zscaler resources
π Security: 85 write tools blocked by allowlist, 8 allowed
Tool Design Philosophy
Each operation is a separate, single-purpose tool with explicit naming that makes its intent clear:
β Good (Verb-Based - Current Design)
zpa_list_application_segments β Read-only, safe to allow-list
zpa_get_application_segment β Read-only, safe to allow-list
zpa_create_application_segment β Write operation, requires --enable-write-tools
zpa_update_application_segment β Write operation, requires --enable-write-tools
zpa_delete_application_segment β Destructive, requires --enable-write-tools
This design allows AI assistants (Claude, Cursor, GitHub Copilot) to:
- Allow-list read-only tools for autonomous exploration
- Require explicit user confirmation for write operations
- Clearly understand the intent of each tool from its name
Security Layers
The server implements multiple layers of security (defense-in-depth). The first nine apply on every transport, including stdio β they govern which tools are exposed and how dangerous calls are confirmed. The remaining HTTP-only layers (TLS, host-header validation, source-IP ACL, MCP client authentication) are described in the Network-Level Controls section further down.
- Read-Only Tools Always Enabled: Safe
list_*andget_*operations are always available (110+ tools). - Default Write Mode Disabled: Write tools are disabled unless explicitly enabled via
--enable-write-tools. - Mandatory Allowlist: Write operations require explicit
--write-toolsallowlist (wildcard support). - OneAPI Entitlement Filter: At startup, toolsets for products the OneAPI credentials cannot call are silently dropped (see OneAPI Entitlement Filter below).
- Toolset Selection: Optionally narrow the registered tool surface to a specific slice (e.g.
--toolsets zia_url_filtering,zpa_app_segments). See the Toolsets section below. - Verb-Based Tool Naming: Each tool clearly indicates its purpose (
list,get,create,update,delete). - Tool Metadata Annotations: All tools are annotated with
readOnlyHintordestructiveHintfor AI agent frameworks. - AI Agent Confirmation: All write tools marked with
destructiveHint=Truetrigger permission dialogs in AI assistants. - Double Confirmation for DELETE: Delete operations require both the agent's permission dialog AND a server-side cryptographic confirmation token (HMAC-SHA256, single-use, 5-minute TTL). This makes prompt-injection attacks against destructive actions ineffective.
- Environment Variable Control:
ZSCALER_MCP_WRITE_ENABLED,ZSCALER_MCP_WRITE_TOOLS,ZSCALER_MCP_TOOLSETS,ZSCALER_MCP_DISABLE_ENTITLEMENT_FILTER, and the disable lists can all be managed centrally without code changes. - Output Sanitization: Every string in every tool result is run through a three-stage sanitizer before reaching the agent β invisible/control characters (BiDi overrides, zero-width chars, BOM, soft hyphen) are stripped, raw HTML and HTML comments are removed (via
bleach), Markdown link/image syntax is neutralised so embedded URLs cannot be smuggled to the agent, and Markdown code-fence info-strings containing role-impersonation tokens (system,assistant,tool,ignore, β¦) are collapsed to a neutraltexttag. This defends against prompt-injection payloads that an attacker β or a careless admin β might embed in editable Zscaler resources (rule descriptions, location names, label descriptions, etc.). On by default. Opt-out withZSCALER_MCP_DISABLE_OUTPUT_SANITIZATION=true(use only for diagnostics). - Audit Logging: When
--log-tool-calls/ZSCALER_MCP_LOG_TOOL_CALLS=trueis set, every tool invocation is logged with its arguments (sensitive values redacted), duration, and a result summary.
This multi-layered approach ensures that even if one security control is bypassed, others remain in place to prevent unauthorized operations. Layers 1-12 above apply equally to stdio, sse, and streamable-http.
Toolsets
Tools are grouped into named toolsets so you can load only the slice an agent actually needs (e.g. zia_url_filtering (5 tools) instead of every tool from every service (~280)). Toolsets reduce the agent's context cost and improve tool-selection accuracy. The meta toolset (server discovery) is always loaded.
# Load just two slices
zscaler-mcp --toolsets zia_url_filtering,zpa_app_segments
# Or use the curated default-on subset
zscaler-mcp --toolsets default
# Or load every registered toolset explicitly
zscaler-mcp --toolsets all
# Equivalent via environment variable
export ZSCALER_MCP_TOOLSETS="zia_url_filtering,zpa_app_segments"
When --toolsets is unspecified, every toolset whose service is enabled is loaded (preserves the historical default).
The agent can also enable additional toolsets at runtime through the always-on zscaler_list_toolsets, zscaler_get_toolset_tools, and zscaler_enable_toolset tools.
For the full catalog (29 toolsets across all services), filter precedence rules, per-toolset agent guidance, and the complete reference, see docs/guides/toolsets.md.
OneAPI Entitlement Filter
After your toolset selection resolves, the server reads the product entitlements from the OneAPI bearer token issued for your ZSCALER_CLIENT_ID and silently drops toolsets for products the credentials cannot call. If your OneAPI client is only entitled to ZIA and ZPA, every zdx_* / zcc_* / ztw_* / zid_* / zeasm_* / zins_* / zms_* toolset is filtered out at startup β even with --toolsets all.
This prevents an agent from discovering tools whose first call would only ever return 401 Unauthorized. The filter applies on every transport, including stdio.
When the filter runs you'll see one log line at startup, for example:
entitlement filter applied: entitled services=['zia', 'zpa'], kept 12 toolset(s), removed 17 toolset(s)
The filter is non-fatal. If credentials are missing, the token endpoint is unreachable, the token doesn't decode, or the token has no recognizable product entitlements, the server logs a single WARN line and starts normally with the user-selected toolsets unchanged.
To bypass the filter (for example, while diagnosing an unusual token shape):
zscaler-mcp --no-entitlement-filter
# or
export ZSCALER_MCP_DISABLE_ENTITLEMENT_FILTER=true
Only product entitlement is honoured β not role names. The server defers per-action permission enforcement to the live API; the entitlement filter only ensures we don't advertise tools for products the client has zero access to.
Cryptographic Confirmation for Destructive Actions
Delete operations use a cryptographic confirmation token (HMAC-SHA256) instead of a simple confirmed=true boolean. This prevents prompt injection attacks where a malicious prompt could trick the AI agent into confirming a destructive action. The token is bound to the specific operation parameters and expires after 5 minutes.
This mechanism is transparent to end users β the AI agent handles the confirmation flow automatically through its standard permission dialog.
To bypass confirmations in automated testing or CI/CD environments:
export ZSCALER_MCP_SKIP_CONFIRMATIONS=true
Network-Level Controls (HTTP only)
The next four subsections β TLS, source-IP allowlist, host-header validation, and the .env plaintext-secret scanner β apply only to the HTTP transports (sse, streamable-http). They control who can reach the server over the network. They are independent of the tool-level controls listed in Security Layers above (read-only mode, write allowlist, toolsets, entitlement filter, HMAC confirmations), which apply on every transport including stdio.
The corresponding MCP client authentication (Bearer / Basic / OAuth 2.1) is a fifth network-level layer covered in detail in the MCP Client Authentication section further below.
HTTPS/TLS Support
HTTPS is required by default for non-localhost deployments. The server will refuse to start on a non-localhost interface without TLS certificates unless you explicitly set ZSCALER_MCP_ALLOW_HTTP=true.
When running with HTTP transports (sse or streamable-http), provide TLS certificates:
ZSCALER_MCP_TLS_CERTFILE=/path/to/cert.pem
ZSCALER_MCP_TLS_KEYFILE=/path/to/key.pem
# Optional: private key password and CA bundle
ZSCALER_MCP_TLS_KEYFILE_PASSWORD=your-key-password
ZSCALER_MCP_TLS_CA_CERTS=/path/to/ca-bundle.pem
When TLS is configured, the server automatically starts with HTTPS. This works with both public (CA-signed) and private (self-signed) certificates. Generate a self-signed certificate for testing:
openssl req -x509 -newkey rsa:2048 -keyout key.pem -out cert.pem -days 365 -nodes \
-subj "/CN=localhost"
Source IP Access Control
You can restrict which client IPs are allowed to connect using ZSCALER_MCP_ALLOWED_SOURCE_IPS. When unset (the default), source IP filtering is disabled and deferred to upstream controls (firewall rules, AWS Security Groups, etc.).
# Allow only specific IPs/subnets
ZSCALER_MCP_ALLOWED_SOURCE_IPS=10.0.0.0/8,172.16.0.5
# Allow all (effectively disable β same as not setting the variable)
ZSCALER_MCP_ALLOWED_SOURCE_IPS=0.0.0.0/0
Supports individual IPv4/IPv6 addresses, CIDR notation, and the wildcard 0.0.0.0/0. Health-check endpoints (/health, /healthz, /ready) are exempt so load-balancer probes continue to work. Requests from disallowed IPs receive 403 Forbidden.
.env File Security Warning
When starting with HTTP transports, the server automatically scans any .env file in the working directory for plaintext secrets (values containing SECRET, PASSWORD, KEY, or TOKEN). If detected, a security warning is logged recommending the use of a secrets manager or environment variables instead.
Security Posture Banner
On startup, the server logs a consolidated Security Posture Banner summarizing the active security configuration β transport mode, host validation status, authentication mode, TLS status, and any active warnings. This makes it easy to verify the security state at a glance.
Key Security Principles:
- No "enable all write tools" backdoor exists - allowlist is mandatory
- AI agents must request permission before executing any write operation (
destructiveHint) - Every destructive action requires explicit user approval through the AI agent's permission framework
- Destructive confirmations are cryptographically bound to prevent prompt injection bypass
Best Practices
- Read-Only by Default: No configuration needed for safe operations - read-only tools are always available
- Mandatory Allowlist: Always provide explicit
--write-toolsallowlist when enabling write mode - Development/Testing: Use narrow allowlists (e.g.,
--write-tools "zpa_create_application_segment") - Production/Agents: Keep server in read-only mode (default) for AI agents performing autonomous operations
- CI/CD: Never set
ZSCALER_MCP_WRITE_ENABLED=truewithout a correspondingZSCALER_MCP_WRITE_TOOLSallowlist - Least Privilege: Use narrowest possible allowlist patterns for your use case
- Wildcard Usage: Use wildcards for service-level control (e.g.,
zpa_create_*) or operation-level control (e.g.,*_create_*) - Audit Review: Regularly review which write tools are allowlisted and remove unnecessary ones
- Specific Prompts: With 300+ tools and deferred loading, AI agents match prompts to tools by relevance. Use service-specific prompts (e.g., "List ZPA segments" instead of "Show my segments") for accurate tool selection
π MCP Client Authentication
π Full Documentation: Authentication & Deployment Guide
When running the MCP server over HTTP (sse or streamable-http transports), you can enable authentication to control who is allowed to connect to the server. This is independent from the Zscaler API credentials, which control how the server authenticates to Zscaler APIs.
For HTTP transports, the server auto-detects and enables authentication when auth-related environment variables are present. For stdio transport, authentication is not applicable (the operating system's process isolation provides security).
Authentication Modes
The server supports four authentication modes, configured via environment variables:
| Mode | Description | Best For |
|---|---|---|
api-key | Simple shared secret β client sends Authorization: Bearer <key> | Quick setup, internal environments, development |
jwt | External Identity Provider via JWKS β tokens validated locally using public keys | Enterprise SSO, multi-tenant deployments (Auth0, Okta, Azure AD, Keycloak, AWS Cognito, PingOne, Google) |
zscaler | Zscaler OneAPI credential validation β client sends Basic Auth with client_id:client_secret | Environments already using Zscaler API credentials |
auth= param | Full MCP-spec OAuth 2.1 with DCR via fastmcp AuthProvider (e.g. OIDCProxy) | Library consumers, programmatic OAuth 2.1, any OIDC provider |
Quick Start
Enable authentication by setting these environment variables in your .env file:
# Enable authentication
ZSCALER_MCP_AUTH_ENABLED=true
ZSCALER_MCP_AUTH_MODE=api-key
# For api-key mode: set a shared secret
ZSCALER_MCP_AUTH_API_KEY=sk-your-secret-key-here
Then start the server with an HTTP transport:
zscaler-mcp --transport streamable-http
Clients must include the key in the Authorization header:
Authorization: Bearer sk-your-secret-key-here
How It Works
Authentication is implemented as ASGI middleware that wraps the HTTP transport layer:
MCP Client Request
β
βΌ
ββββββββββββββββ ββββββββββββββββ ββββββββββββββββ
β Auth ββββββΆβ FastMCP ββββββΆβ Zscaler β
β Middleware β β Server β β APIs β
ββββββββββββββββ ββββββββββββββββ ββββββββββββββββ
Layer 1: WHO MCP Protocol Layer 2: HOW
can connect? Processing server talks
to Zscaler
- Layer 1 (MCP Client Auth): Controlled by
ZSCALER_MCP_AUTH_*variables β validates the incoming request - Layer 2 (Zscaler API Auth): Controlled by
ZSCALER_CLIENT_ID,ZSCALER_CLIENT_SECRET, etc. β authenticates the server to Zscaler APIs
These two layers are completely independent. You can enable one, both, or neither.
Configuration by Mode
API Key
ZSCALER_MCP_AUTH_ENABLED=true
ZSCALER_MCP_AUTH_MODE=api-key
ZSCALER_MCP_AUTH_API_KEY=sk-your-secret-key-here
JWT (External IdP via JWKS)
ZSCALER_MCP_AUTH_ENABLED=true
ZSCALER_MCP_AUTH_MODE=jwt
ZSCALER_MCP_AUTH_JWKS_URI=https://your-idp.com/.well-known/jwks.json
ZSCALER_MCP_AUTH_ISSUER=https://your-idp.com
ZSCALER_MCP_AUTH_AUDIENCE=zscaler-mcp-server
ZSCALER_MCP_AUTH_ALGORITHMS=RS256,ES256 # Optional (default: RS256,ES256)
Zscaler OneAPI Credentials
ZSCALER_MCP_AUTH_ENABLED=true
ZSCALER_MCP_AUTH_MODE=zscaler
# Uses ZSCALER_VANITY_DOMAIN and ZSCALER_CLOUD from your existing config
Clients authenticate with Basic Auth (client_id:client_secret) or custom headers (X-Zscaler-Client-ID / X-Zscaler-Client-Secret).
Authentication Defaults
For HTTP transports (sse, streamable-http), the server auto-detects and enables authentication if auth-related environment variables are present (e.g., ZSCALER_MCP_AUTH_JWKS_URI, ZSCALER_MCP_AUTH_API_KEY, or ZSCALER_VANITY_DOMAIN). If no auth configuration is detected and ZSCALER_MCP_AUTH_ENABLED is not explicitly set, the server logs a security warning but continues without authentication.
To explicitly disable authentication, set:
ZSCALER_MCP_AUTH_ENABLED=false
Authentication does not apply to stdio transport (process isolation provides security).
Library-Level OAuth 2.1 (auth= Parameter)
When using ZscalerMCPServer as a Python library, you can pass a fastmcp.server.auth.AuthProvider instance (such as OIDCProxy or OAuthProxy) directly to the constructor. This provides full MCP-spec-compliant OAuth 2.1 with Dynamic Client Registration (DCR), and is the recommended approach for programmatic OAuth integration.
import os
from fastmcp.server.auth.oidc_proxy import OIDCProxy
from zscaler_mcp.server import ZscalerMCPServer
auth = OIDCProxy(
config_url="https://your-tenant.auth0.com/.well-known/openid-configuration",
client_id=os.getenv("OIDCPROXY_CLIENT_ID"),
client_secret=os.getenv("OIDCPROXY_CLIENT_SECRET"),
base_url="http://localhost:8000",
audience="zscaler-mcp-server",
)
# Allow standard OIDC scopes for Dynamic Client Registration
if auth.client_registration_options:
auth.client_registration_options.valid_scopes = [
"openid", "profile", "email",
]
server = ZscalerMCPServer(auth=auth)
server.run("streamable-http", host="0.0.0.0", port=8000)
When auth= is provided:
- The server delegates authentication entirely to the
AuthProvider - The env-var-based auth middleware (
ZSCALER_MCP_AUTH_*) is automatically skipped - OAuth routes (
.well-known/oauth-protected-resource,/register,/authorize,/token) are handled by the provider - All other security features (TLS, Source IP ACL, host validation) remain active
- Works with any OIDC-compliant Identity Provider (Auth0, Okta, Azure AD, Keycloak, Google, AWS Cognito, PingOne, etc.)
IdP requirements: Your Identity Provider must have a Regular Web Application (not M2M) with the callback URL http://localhost:8000/auth/callback registered, and an API/resource server with identifier matching the audience value.
π For detailed setup instructions β including OIDCProxy setup with Auth0/Okta/Azure AD, Microsoft Entra ID step-by-step guide, IdP-specific JWKS configuration, Docker deployment examples, client configuration for Claude/Cursor/VS Code, and troubleshooting β see the Authentication & Deployment Guide.
Supported Tools
The Zscaler Integrations MCP Server provides 339 tools for all major Zscaler services:
| Service | Description | Tools |
|---|---|---|
| ZIA | Zscaler Internet Access β Security policies | 145 read/write |
| ZPA | Zscaler Private Access β Application access | 88 read/write |
| ZDX | Zscaler Digital Experience β Monitoring & analytics | 31 read/write |
| ZMS | Zscaler Microsegmentation β Agents, resources, policies | 20 read-only |
| ZTW | Zscaler Workload Segmentation | 19 read/write |
| Z-Insights | Z-Insights analytics β Web traffic, cyber incidents, shadow IT | 16 read-only |
| ZIdentity | ZIdentity β Identity & access management | 10 read-only |
| EASM | External Attack Surface Management | 7 read-only |
| ZCC | Zscaler Client Connector β Device management | 3 read-only |
π View Complete Tools Reference β
Note: All write operations require the
--enable-write-toolsflag and an explicit--write-toolsallowlist. See the Security & Permissions section for details.
Installation & Setup
Prerequisites
- Python 3.11 or higher
uvor pip- Zscaler API credentials (see below)
Environment Configuration
Copy the example environment file and configure your credentials:
cp .env.example .env
Then edit .env with your Zscaler API credentials:
Required Configuration (OneAPI):
ZSCALER_CLIENT_ID: Your Zscaler OAuth client IDZSCALER_CLIENT_SECRET: Your Zscaler OAuth client secretZSCALER_CUSTOMER_ID: Your Zscaler customer IDZSCALER_VANITY_DOMAIN: Your Zscaler vanity domain
Optional Configuration:
ZSCALER_CLOUD: (Optional) Zscaler cloud environment (e.g.,beta) - Required when interacting with Beta Tenant ONLY.ZSCALER_PRIVATE_KEY: (Optional) PEM-encoded private key for JWT-based OneAPI auth, used in place ofZSCALER_CLIENT_SECRET.ZSCALER_MCP_SERVICES: Comma-separated list of services to enable (default: all services)ZSCALER_MCP_TRANSPORT: Transport method -stdio,sse, orstreamable-http(default:stdio)ZSCALER_MCP_DEBUG: Enable debug logging -trueorfalse(default:false)ZSCALER_MCP_HOST: Host for HTTP transports (default:127.0.0.1)ZSCALER_MCP_PORT: Port for HTTP transports (default:8000)
Alternatively, you can set these as environment variables instead of using a .env file.
Important: Ensure your API client has the necessary permissions for the services you plan to use. You can always update permissions later in the Zscaler console.
Installation
Install with VS Code (Quick Setup)
Note: This will open VS Code and prompt you to configure the MCP server. You'll need to replace the placeholder values (
<YOUR_CLIENT_ID>, etc.) with your actual Zscaler credentials.
Install using uv (recommended)
uv tool install zscaler-mcp
Install from source using uv (development)
uv pip install -e .
Remote deployment: When running on EC2/VM, activate the project venv before starting:
source .venv/bin/activate. See Remote MCP Deployment.
Install from source using pip
pip install -e .
Install using make (convenience)
make install-dev
[!TIP] If
zscaler-mcp-serverisn't found, update your shell PATH.
For installation via code editors/assistants, see the Using the MCP Server with Agents section below.
Usage
[!NOTE] Default Security Mode: All examples below run in read-only mode by default (only
list_*andget_*operations). To enable write operations (create_*,update_*,delete_*), add the--enable-write-toolsflag to any command, or setZSCALER_MCP_WRITE_ENABLED=truein your environment.
Command Line
Run the server with default settings (stdio transport, read-only mode):
zscaler-mcp
Run the server with write operations enabled:
zscaler-mcp --enable-write-tools
Run with SSE transport:
zscaler-mcp --transport sse
Run with streamable-http transport:
zscaler-mcp --transport streamable-http
Run with streamable-http transport on custom port:
zscaler-mcp --transport streamable-http --host 0.0.0.0 --port 8080
Service Configuration
The Zscaler Integrations MCP Server supports multiple ways to specify which services to enable:
1. Command Line Arguments (highest priority)
Specify services using comma-separated lists:
# Enable specific services
zscaler-mcp --services zia,zpa,zdx
# Enable only one service
zscaler-mcp --services zia
2. Environment Variable (fallback)
Set the ZSCALER_MCP_SERVICES environment variable:
# Export environment variable
export ZSCALER_MCP_SERVICES=zia,zpa,zdx
zscaler-mcp
# Or set inline
ZSCALER_MCP_SERVICES=zia,zpa,zdx zscaler-mcp
3. Default Behavior (all services)
If no services are specified via command line or environment variable, all available services are enabled by default.
Service Priority Order:
- Command line
--servicesargument (overrides all) ZSCALER_MCP_SERVICESenvironment variable (fallback)- All services (default when none specified)
Excluding Services and Tools
When you want to keep most tools available but exclude a few, use --disabled-tools or --disabled-services instead of listing every tool you want to include.
Both flags support wildcards via fnmatch patterns.
# Exclude a single tool
zscaler-mcp --disabled-tools zia_list_devices
# Exclude all tools from a service prefix
zscaler-mcp --disabled-tools "zcc_*"
# Exclude multiple patterns
zscaler-mcp --disabled-tools "zcc_*,zdx_list_devices"
# Exclude entire services
zscaler-mcp --disabled-services zcc,zdx
# Combine: keep all services but exclude specific tools
zscaler-mcp --disabled-tools "zia_list_devices,zdx_*_analysis"
Environment variables:
export ZSCALER_MCP_DISABLED_TOOLS="zia_list_devices,zdx_*"
export ZSCALER_MCP_DISABLED_SERVICES="zcc"
Precedence: --disabled-tools takes precedence over --tools (include list). A tool that matches both the include list and the exclude list will be excluded.
Additional Command Line Options
# Enable write operations (create, update, delete)
zscaler-mcp --enable-write-tools
# Enable debug logging
zscaler-mcp --debug
# Combine multiple options
zscaler-mcp --services zia,zpa --enable-write-tools --debug
For all available options:
zscaler-mcp --help
Available command-line flags:
--transport: Transport protocol (stdio,sse,streamable-http)--services: Comma-separated list of services to enable--disabled-services: Comma-separated list of services to exclude (e.g.,zcc,zdx)--tools: Comma-separated list of specific tools to enable--disabled-tools: Comma-separated list of tools to exclude, supports wildcards (e.g.,zcc_*,zdx_list_devices)--toolsets: Comma-separated toolset ids to enable (e.g.zia_url_filtering,zpa_app_segments). Special values:default(curated default-on subset),all(every toolset). When unspecified, every toolset whose service is enabled is loaded. See docs/guides/toolsets.md.--no-entitlement-filter: Skip the OneAPI entitlement filter that trims toolsets to the products the configuredZSCALER_CLIENT_IDis entitled to. Emergency override only β the filter is non-fatal by default.--enable-write-tools: Enable write operations (disabled by default for safety)--write-tools: Mandatory allowlist of write tool patterns (e.g.,"zpa_create_*,zpa_delete_*")--log-tool-calls: Enable per-tool-call audit logging (tool name, redacted arguments, duration, result summary)--debug: Enable debug logging--host: Host for HTTP transports (default:127.0.0.1)--port: Port for HTTP transports (default:8000)--user-agent-comment: Additional text appended to User-Agent header--generate-auth-token: Generate a client auth token snippet and exit--list-tools: List all available tools and exit--version: Show server version and exit
Supported Agents
Zscaler API Credentials & Authentication
The Zscaler Integrations MCP Server uses OneAPI authentication exclusively. A single set of credentials authenticates the server to every Zscaler product (ZIA, ZPA, ZCC, ZDX, ZTW, ZIdentity, ZMS, Z-Insights, EASM).
OneAPI Authentication
Prerequisites
- Create an API Client in the ZIdentity platform.
- Obtain your
clientId,clientSecret(orprivateKeyfor JWT),customerId, andvanityDomain. - Learn more: Understanding OneAPI.
Quick Setup
Create a .env file in your project root (or wherever you start the MCP server):
# OneAPI credentials (required)
ZSCALER_CLIENT_ID=your_client_id
ZSCALER_CLIENT_SECRET=your_client_secret
ZSCALER_CUSTOMER_ID=your_customer_id
ZSCALER_VANITY_DOMAIN=your_vanity_domain
# Optional: only required when targeting the Beta tenant
ZSCALER_CLOUD=beta
β οΈ Security: Do not commit .env to source control. Add it to your .gitignore.
OneAPI Environment Variables
| Environment Variable | Required | Description |
|---|---|---|
ZSCALER_CLIENT_ID | Yes | OneAPI client ID from the ZIdentity console |
ZSCALER_CLIENT_SECRET | Yes (or ZSCALER_PRIVATE_KEY) | OneAPI client secret |
ZSCALER_CUSTOMER_ID | Yes (for ZPA tools) | Zscaler customer/tenant ID |
ZSCALER_VANITY_DOMAIN | Yes | Your organization's vanity domain (e.g., acme) |
ZSCALER_CLOUD | No | Cloud override (e.g., beta, zscalertwo); omit for production |
ZSCALER_PRIVATE_KEY | No | PEM-encoded private key for JWT auth (used in place of ZSCALER_CLIENT_SECRET) |
Verification
After populating .env, start the server:
zscaler-mcp
If credentials are valid, the server starts cleanly. The Zscaler SDK client is created lazily on the first tool call, so missing or rotating credentials surface as a clear error message at call time rather than blocking server startup.
Authentication Troubleshooting
| Symptom | Likely cause | Fix |
|---|---|---|
Zscaler SDK failed to initialize due to missing OneAPI credentials: [...] | One or more of ZSCALER_CLIENT_ID, ZSCALER_VANITY_DOMAIN, or (for ZPA) ZSCALER_CUSTOMER_ID is unset or empty. | Set the listed env vars in .env or your shell. |
You must provide either ZSCALER_CLIENT_SECRET or ZSCALER_PRIVATE_KEY for the OneAPI client. | Both auth materials are absent. | Set one of ZSCALER_CLIENT_SECRET or ZSCALER_PRIVATE_KEY. |
| 401/403 from a Zscaler API at tool-call time | API client lacks the scope for that product, or credentials are revoked. | Verify the OneAPI client's permissions in the ZIdentity console; rotate credentials if necessary. |
MCP Server Configuration
The following environment variables control MCP server behavior (not authentication):
| Environment Variable | Default | Description |
|---|---|---|
ZSCALER_MCP_TRANSPORT | stdio | Transport protocol to use (stdio, sse, or streamable-http) |
ZSCALER_MCP_SERVICES | "" | Comma-separated list of services to enable (empty = all services). Supported values: zcc, zdx, zia, zid, zpa, ztw |
ZSCALER_MCP_TOOLS | "" | Comma-separated list of specific tools to enable (empty = all tools) |
ZSCALER_MCP_DISABLED_SERVICES | "" | Comma-separated list of services to exclude (e.g., zcc,zdx). Takes precedence over ZSCALER_MCP_SERVICES. |
ZSCALER_MCP_DISABLED_TOOLS | "" | Comma-separated list of tools to exclude. Supports wildcards (e.g., zcc_*,zia_list_devices). Takes precedence over ZSCALER_MCP_TOOLS. |
ZSCALER_MCP_WRITE_ENABLED | false | Enable write operations (true/false). When false, only read-only tools are available. Set to true or use --enable-write-tools flag to unlock write mode. |
ZSCALER_MCP_WRITE_TOOLS | "" | MANDATORY comma-separated allowlist of write tools (supports wildcards like zpa_*). Requires ZSCALER_MCP_WRITE_ENABLED=true. If empty when write mode enabled, 0 write tools registered. |
ZSCALER_MCP_DEBUG | false | Enable debug logging (true/false) |
ZSCALER_MCP_HOST | 127.0.0.1 | Host to bind to for HTTP transports |
ZSCALER_MCP_PORT | 8000 | Port to listen on for HTTP transports |
ZSCALER_MCP_DISABLE_HOST_VALIDATION | false | Disable Host header validation when exposing on EC2/public IP (true/false). Alternatively, use --host 0.0.0.0 which auto-disables. |
ZSCALER_MCP_ALLOWED_HOSTS | "" | Comma-separated allowed Host values for remote deployment (e.g. 34.201.19.115:*,localhost:*). Preferred over disable for production. |
ZSCALER_MCP_TLS_CERTFILE | "" | Path to TLS certificate file (PEM format) for HTTPS. |
ZSCALER_MCP_TLS_KEYFILE | "" | Path to TLS private key file (PEM format) for HTTPS. |
ZSCALER_MCP_TLS_KEYFILE_PASSWORD | "" | Password for encrypted TLS private key (if applicable). |
ZSCALER_MCP_TLS_CA_CERTS | "" | Path to CA certificate bundle for mutual TLS or custom CA chains. |
ZSCALER_MCP_ALLOW_HTTP | false | Allow plaintext HTTP on non-localhost interfaces. HTTPS is required by default for remote deployments. Set to true only when TLS is terminated upstream (reverse proxy, ZPA, VPN). |
ZSCALER_MCP_ALLOWED_SOURCE_IPS | "" | Comma-separated list of allowed client IPs/CIDRs (e.g. 10.0.0.0/8,172.16.0.5). When unset, source IP filtering is disabled (defer to firewall/security groups). Set to 0.0.0.0/0 to allow all. |
ZSCALER_MCP_SKIP_CONFIRMATIONS | false | Skip cryptographic confirmation for destructive actions (testing/CI only). |
ZSCALER_MCP_CONFIRMATION_TTL | 300 | HMAC confirmation token lifetime in seconds (default: 5 minutes). |
ZSCALER_MCP_DISABLE_OUTPUT_SANITIZATION | false | Disable defense-in-depth output sanitization (BiDi / zero-width / HTML / Markdown / code-fence stripping). Sanitization is on by default; only set this for diagnostics β disabling it removes a prompt-injection defense layer. |
ZSCALER_MCP_USER_AGENT_COMMENT | "" | Additional information to include in User-Agent comment section |
User-Agent Header
The MCP server automatically includes a custom User-Agent header in all API requests to Zscaler services. The format is:
User-Agent: zscaler-mcp-server/<version> python/<python_version> <os>/<architecture>
Example:
User-Agent: zscaler-mcp-server/0.3.1 python/3.11.8 darwin/arm64
With Custom Comment:
You can append additional information (such as the AI agent details) using the ZSCALER_MCP_USER_AGENT_COMMENT environment variable or the --user-agent-comment CLI flag:
# Via environment variable
export ZSCALER_MCP_USER_AGENT_COMMENT="Claude Desktop 1.2024.10.23"
# Via CLI flag
zscaler-mcp --user-agent-comment "Claude Desktop 1.2024.10.23"
This results in:
User-Agent: zscaler-mcp-server/0.3.1 python/3.11.8 darwin/arm64 Claude Desktop 1.2024.10.23
The User-Agent helps Zscaler identify API traffic from the MCP server and can be useful for support, analytics, and debugging purposes.
As a Library
You can use the Zscaler Integrations MCP Server as a Python library in your own applications:
from zscaler_mcp.server import ZscalerMCPServer
# Create server with read-only mode (default - safe)
server = ZscalerMCPServer(
debug=True, # Optional, enable debug logging
enabled_services={"zia", "zpa", "zdx"}, # Optional, defaults to all services
enabled_tools={"zia_list_rule_labels", "zpa_list_application_segments"}, # Optional, defaults to all tools
disabled_services={"zcc"}, # Optional, exclude entire services
disabled_tools={"zcc_*", "zdx_list_devices"}, # Optional, exclude tools by name or wildcard
user_agent_comment="My Custom App", # Optional, additional User-Agent info
enable_write_tools=False # Optional, defaults to False (read-only mode)
)
# Run with stdio transport (default)
server.run()
# Or run with SSE transport
server.run("sse")
# Or run with streamable-http transport
server.run("streamable-http")
# Or run with streamable-http transport on custom host/port
server.run("streamable-http", host="0.0.0.0", port=8080)
Example with write operations enabled:
from zscaler_mcp.server import ZscalerMCPServer
# Create server with write operations enabled
server = ZscalerMCPServer(
debug=True,
enabled_services={"zia", "zpa"},
enable_write_tools=True # Enable create/update/delete operations
)
# Run the server
server.run("stdio")
Available Services: zcc, zdx, zia, zid, zms, zpa
Example with Environment Variables:
from zscaler_mcp.server import ZscalerMCPServer
import os
# Load from environment variables
server = ZscalerMCPServer(
debug=True,
enabled_services={"zia", "zpa"}
)
# Run the server
server.run("stdio")
Running Examples
# Run with stdio transport
python examples/basic_usage.py
# Run with SSE transport
python examples/sse_usage.py
# Run with streamable-http transport
python examples/streamable_http_usage.py
Container Usage
The Zscaler Integrations MCP Server is available as a pre-built container image for easy deployment:
Using Pre-built Image (Recommended)
# Pull the latest pre-built image
docker pull zscaler/zscaler-mcp-server:latest
# Run with .env file (recommended)
docker run --rm --env-file /path/to/.env zscaler/zscaler-mcp-server:latest
# Run with .env file and SSE transport
docker run --rm -p 8000:8000 --env-file /path/to/.env \
zscaler/zscaler-mcp-server:latest --transport sse --host 0.0.0.0
# Run with .env file and streamable-http transport
docker run --rm -p 8000:8000 --env-file /path/to/.env \
zscaler/zscaler-mcp-server:latest --transport streamable-http --host 0.0.0.0
# Run with .env file and custom port
docker run --rm -p 8080:8080 --env-file /path/to/.env \
zscaler/zscaler-mcp-server:latest --transport streamable-http --host 0.0.0.0 --port 8080
# Run with .env file and specific services
docker run --rm --env-file /path/to/.env \
zscaler/zscaler-mcp-server:latest --services zia,zpa,zdx
# Use a specific version instead of latest
docker run --rm --env-file /path/to/.env \
zscaler/zscaler-mcp-server:1.2.3
# Alternative: Individual environment variables
docker run --rm -e ZSCALER_CLIENT_ID=your_client_id -e ZSCALER_CLIENT_SECRET=your_secret \
-e ZSCALER_CUSTOMER_ID=your_customer_id -e ZSCALER_VANITY_DOMAIN=your_vanity_domain \
zscaler/zscaler-mcp-server:latest
Building Locally (Development)
For development or customization purposes, you can build the image locally:
# Build the Docker image
docker build -t zscaler-mcp-server .
# Run the locally built image
docker run --rm -e ZSCALER_CLIENT_ID=your_client_id -e ZSCALER_CLIENT_SECRET=your_secret \
-e ZSCALER_CUSTOMER_ID=your_customer_id -e ZSCALER_VANITY_DOMAIN=your_vanity_domain zscaler-mcp-server
Note: When using HTTP transports in Docker, always set --host 0.0.0.0 to allow external connections to the container.
Editor/Assistant Integration
You can integrate the Zscaler Integrations MCP server with your editor or AI assistant. Here are configuration examples for popular MCP clients:
Using uvx (recommended)
{
"mcpServers": {
"zscaler-mcp-server": {
"command": "uvx",
"args": ["--env-file", "/absolute/path/to/.env", "zscaler-mcp"]
}
}
}
Note: The published PyPI package is
zscaler-mcp(notzscaler-mcp-server). When integrating as a Claude Code plugin, use${CLAUDE_PLUGIN_ROOT}/.envinstead of an absolute path; for Gemini extensions, use${extensionPath}${pathSeparator}.env.
Additional Deployment Options
Remote MCP Deployment (EC2, VM, etc.)
When deploying the MCP server on a remote host (EC2, VM, internal server) so clients connect over HTTP from another machine:
Server setup:
-
Install and configure credentials (see Installation and Environment Configuration).
-
If using an editable install (
uv pip install -e .), you must activate the project venv before runningβotherwise an older or different installation may run:cd /path/to/zscaler-mcp-server source .venv/bin/activate zscaler-mcp --transport streamable-http --host 0.0.0.0 --port 8000 -
Use
--host 0.0.0.0to bind on all interfaces. This automatically disables Host header validation (required when clients send the server's public IP in the Host header). For production, considerZSCALER_MCP_ALLOWED_HOSTSin.envto restrict to known hostnames. -
Ensure the firewall allows inbound traffic on the chosen port (e.g. 8000).
Client configuration (Claude Desktop):
Claude Desktop expects a command that spawns a process. For remote HTTP, use mcp-remote which supports custom authentication headers.
macOS / Linux:
{
"mcpServers": {
"zscaler-mcp-server": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"http://YOUR_SERVER_IP:8000/mcp",
"--allow-http",
"--header",
"Authorization: Bearer sk-your-api-key"
]
}
}
}
Windows:
On Windows, paths with spaces (e.g., C:\Program Files\...) cause npx to fail when invoked directly. Wrap the call through cmd /c:
{
"mcpServers": {
"zscaler-mcp-server": {
"command": "cmd",
"args": [
"/c",
"npx",
"-y",
"mcp-remote",
"http://YOUR_SERVER_IP:8000/mcp",
"--allow-http",
"--header",
"Authorization: Bearer sk-your-api-key"
]
}
}
}
--allow-http: Required when connecting to a non-localhost HTTP endpoint.mcp-remoteenforces HTTPS by default for non-localhost URLs. Omit this flag when connecting over HTTPS or tolocalhost.
Using Zscaler auth mode (Basic Auth):
Replace the Authorization header with Basic Auth credentials. The value is the Base64 encoding of client_id:client_secret:
# Generate the Base64 value
echo -n "your-client-id:your-client-secret" | base64
Then use "Authorization: Basic <base64_value>" in place of the Bearer header above.
Prerequisites on the client: Node.js (for npx) must be installed.
π Full remote deployment details (venv usage, 421 troubleshooting, security, TLS): Remote Deployment Β· 421 Misdirected Request Β· Troubleshooting
Azure Container Apps / Virtual Machine / AKS (Preview)
Deploy the Zscaler MCP Server to Azure with your choice of deployment target:
| Target | Description | Runtime | Status |
|---|---|---|---|
| Container Apps | Managed, serverless | Docker Hub image | GA |
| Virtual Machine | Ubuntu 22.04, self-managed | Python library (PyPI) | GA |
| Azure Kubernetes Service (AKS) | Kubernetes Deployment + LoadBalancer | Docker Hub image | Preview |
# Interactive guided deployment β no .env file required
cd integrations/azure
python azure_mcp_operations.py deploy
# MCP Server management
python azure_mcp_operations.py status # check health
python azure_mcp_operations.py logs # stream logs
python azure_mcp_operations.py ssh # SSH into VM (VM only)
python azure_mcp_operations.py destroy # tear down all resources
# Azure AI Foundry Agent (optional β wraps MCP server as an AI agent)
pip install azure-ai-projects azure-identity
python azure_mcp_operations.py agent_create # create Foundry agent
python azure_mcp_operations.py agent_chat # interactive CLI chat
python azure_mcp_operations.py agent_status # show agent info
python azure_mcp_operations.py agent_destroy # delete agent
The script will prompt you for:
- Deployment target: Container Apps, Virtual Machine, or Azure Kubernetes Service (Preview)
- Credential source:
.envfile path or manual entry - Auth mode: OIDCProxy (OAuth 2.1), JWT, API Key, Zscaler, or None (OIDCProxy not yet supported on AKS)
- Azure options: resource group, region, Key Vault (new or existing); for AKS: cluster lifecycle (create new or use existing), node count/size, namespace
Container Apps and VM store all secrets in Azure Key Vault (mandatory) and auto-configure Claude Desktop / Cursor. AKS Preview injects credentials as Kubernetes environment variables on the Deployment β Workload Identity Federation + Key Vault CSI driver integration is planned.
Foundry Agent: Optionally create an Azure-hosted AI agent that wraps the MCP server. The agent is accessible via CLI chat (with spinner, token tracking, and timing), the Azure AI Foundry portal playground, REST APIs, or Microsoft 365 Copilot integrations.
π Full Azure deployment guide: integrations/azure/README.md
Google Cloud (Cloud Run / GKE / VM / ADK Agent)
Google Cloud deployments cover both the standalone MCP Server and the Gemini-powered ADK Agent. A complete video walkthrough is available here:
Zscaler Integration MCP Server in GCP β Video Demo
Two interactive Python scripts manage all five Google Cloud deployment targets:
| Script | Deployment Targets |
|---|---|
integrations/google/gcp/gcp_mcp_operations.py | Cloud Run, GKE, Compute Engine VM (standalone MCP server) |
integrations/google/adk/adk_agent_operations.py | Local, Cloud Run, Vertex AI Agent Engine, Agentspace (ADK agent) |
Standalone MCP Server β Automated Deployment:
cd integrations/google/gcp
python gcp_mcp_operations.py deploy # guided deployment (prompts for target)
python gcp_mcp_operations.py status # check health
python gcp_mcp_operations.py logs # stream logs
python gcp_mcp_operations.py ssh # SSH into VM (VM target only)
python gcp_mcp_operations.py destroy # tear down
The script prompts for deployment target, credentials, and auth mode. It:
- Prompts for GCP project/region (or reads from
.env) - Optionally stores credentials in GCP Secret Manager
- Deploys the container to Cloud Run with
zscalerauthentication mode - Generates
Authorization: Basicheaders from your Zscaler OneAPI credentials - Auto-configures Claude Desktop (
claude_desktop_config.json) and Cursor (~/.cursor/mcp.json) - Writes a deployment state file (
.gcp-deploy-state.json) for subsequentstatus/logs/destroyoperations
ADK Agent β Interactive Deployment:
cd integrations/google/adk
python adk_agent_operations.py deploy # guided deployment (local, Cloud Run, Agent Engine, Agentspace)
python adk_agent_operations.py status
python adk_agent_operations.py logs
python adk_agent_operations.py destroy
Manual Deployment:
# Deploy with credentials as env vars
gcloud run deploy zscaler-mcp-server \
--image=zscaler/zscaler-mcp-server:latest \
--set-env-vars="ZSCALER_CLIENT_ID=...,ZSCALER_CLIENT_SECRET=...,ZSCALER_VANITY_DOMAIN=...,ZSCALER_CUSTOMER_ID=...,ZSCALER_CLOUD=production,ZSCALER_MCP_ALLOW_HTTP=true,ZSCALER_MCP_DISABLE_HOST_VALIDATION=true,ZSCALER_MCP_AUTH_ENABLED=true,ZSCALER_MCP_AUTH_MODE=zscaler" \
--args="--transport,streamable-http,--host,0.0.0.0,--port,8000" \
--port=8000 --region=us-central1 --allow-unauthenticated
With GCP Secret Manager (recommended for production):
The Docker image includes a built-in GCP Secret Manager loader. Store credentials as individual secrets (e.g., zscaler-client-id, zscaler-client-secret) and enable with a single env var:
gcloud run deploy zscaler-mcp-server \
--image=zscaler/zscaler-mcp-server:latest \
--set-env-vars="ZSCALER_MCP_GCP_SECRET_MANAGER=true,GCP_PROJECT_ID=your-project,ZSCALER_MCP_ALLOW_HTTP=true,ZSCALER_MCP_DISABLE_HOST_VALIDATION=true,ZSCALER_MCP_AUTH_ENABLED=true,ZSCALER_MCP_AUTH_MODE=zscaler" \
--args="--transport,streamable-http,--host,0.0.0.0,--port,8000" \
--port=8000 --region=us-central1 --allow-unauthenticated
The loader also works on GKE and Compute Engine β anywhere GCP Application Default Credentials are available.
π Full Google Cloud deployment guide (all five targets, IAM roles, authentication modes, enterprise patterns): integrations/google/README.md
π Secret Manager deep-dive (GKE manifests, credential rotation, loader internals): GCP Secret Manager Integration
Amazon Bedrock AgentCore
[!IMPORTANT] AWS Marketplace Image Available: For Amazon Bedrock AgentCore deployments, we provide a dedicated container image optimized for Bedrock's stateless HTTP environment. This image includes a custom web server wrapper that handles session management and is specifically designed for AWS Bedrock AgentCore Runtime.
π Quick Start with AWS Marketplace:
The easiest way to deploy the Zscaler Integrations MCP Server to Amazon Bedrock AgentCore is through the AWS Marketplace listing. The Marketplace image includes:
- β Pre-configured for Bedrock AgentCore Runtime
- β Custom web server wrapper for stateless HTTP environments
- β Session management handled automatically
- β Health check endpoints for ECS compatibility
- β Optimized for AWS Bedrock AgentCore's requirements
π Full Deployment Guide:
For detailed deployment instructions, IAM configuration, and troubleshooting, please refer to the comprehensive Amazon Bedrock AgentCore deployment guide.
The deployment guide covers:
- Prerequisites and AWS VPC requirements
- IAM role and trust policy configuration
- Step-by-step deployment instructions
- Environment variable configuration
- Write mode configuration (for CREATE/UPDATE/DELETE operations)
- Troubleshooting and verification steps
[!NOTE] The AWS Marketplace image uses a different architecture than the standard
streamable-httptransport. It includes a FastAPI-based web server wrapper (web_server.py) that bypasses the MCP protocol's session initialization requirements, making it compatible with Bedrock's stateless HTTP environment. This is why the Marketplace image is recommended for Bedrock deployments.
Using the MCP Server with Agents
This section provides instructions for configuring the Zscaler Integrations MCP Server with popular AI agents. Before starting, ensure you have:
- β Completed Installation & Setup
- β Configured Authentication
- β
Created your
.envfile with credentials
Claude Desktop
You can install the Zscaler MCP Server in Claude Desktop using either method:
Windows users: The one-click extension bundles macOS/Linux binaries and will not work on Windows. Use Option 2: Manual Configuration insteadβit uses
uvxto install platform-appropriate packages at runtime. See Troubleshooting: Windows for details.
Option 1: Install as Extension (macOS / Linux)
The easiest way to get startedβone-click install with a user-friendly UI in Claude Desktop and low barrier to entry.
Prerequisites: uv must be installed (provides uvx). The extension uses uvx to run the server from PyPI at runtimeβno manual pip install zscaler-mcp required. Install uv: curl -LsSf https://astral.sh/uv/install.sh | sh
- Open Claude Desktop
- Go to Settings β Extensions β Browse Extensions
- In the search box, type
zscaler - Select Zscaler MCP Server from the results
- Click Install or Add
- Configure your
.envfile path when prompted (or edit the configuration after installation) - Restart Claude Desktop completely (quit and reopen)
- Verify by asking Claude: "What Zscaler tools are available?"
Option 2: Manual Configuration (All platforms, recommended on Windows)
- Open Claude Desktop
- Go to Settings β Developer β Edit Config
- Add the following configuration:
{
"mcpServers": {
"zscaler-mcp-server": {
"command": "uvx",
"args": ["--env-file", "/absolute/path/to/your/.env", "zscaler-mcp"]
}
}
}
Important: Replace
/absolute/path/to/your/.envwith the absolute path to your.envfile. On Windows, use a path likeC:\Users\You\.env. Relative paths will not work.
- Save the configuration file
- Restart Claude Desktop completely (quit and reopen)
- Verify by asking Claude: "What Zscaler tools are available?"
Troubleshooting:
- "MCP server not found": Verify the
.envfile path is absolute and correct - "Authentication failed": Check that your
.envfile contains valid credentials - Tools not appearing: Check Claude Desktop logs (Help > View Logs) for errors
- Extension not found: Ensure you're searching in the "Desktop extensions" tab, not "Web"
- Windows:
ModuleNotFoundError(rpds, pydantic_core, etc.): The extension bundles macOS/Linux binaries. Use Option 2 (Manual Configuration) instead. See Troubleshooting guide.
Cursor
- Open Cursor
- Go to Settings β Cursor Settings β Tools & MCP β New MCP Server
- The configuration will be saved to
~/.cursor/mcp.json. Add the following configuration:
{
"mcpServers": {
"zscaler-mcp-server": {
"command": "uvx",
"args": ["--env-file", "/absolute/path/to/your/.env", "zscaler-mcp"]
}
}
}
Alternative: You can also use Docker instead of
uvx:{ "mcpServers": { "zscaler-mcp-server": { "command": "docker", "args": [ "run", "-i", "--rm", "--env-file", "/absolute/path/to/your/.env", "zscaler/zscaler-mcp-server:latest" ] } } }
- Save the configuration file
- Restart Cursor completely (quit and reopen)
- Verify by asking: "List my ZIA rule labels"
Troubleshooting:
- Check Cursor's MCP logs (View > Output > MCP) for connection errors
- Verify the
.envfile path is absolute and credentials are correct - The configuration file is located at
~/.cursor/mcp.json(or%USERPROFILE%\.cursor\mcp.jsonon Windows)
Platform Integrations
The Zscaler MCP Server ships with native integrations for several AI development platforms. Each integration includes platform-specific configuration files, 19 guided skills, and setup instructions.
| Platform | Type | Quick Start | Details |
|---|---|---|---|
| Claude Code | Plugin | claude plugin install zscaler | integrations/claude-code-plugin/ |
| Cursor | Plugin | Settings β Tools & MCP β New MCP Server | integrations/cursor-plugin/ |
| Gemini CLI | Extension | Register gemini-extension.json | integrations/gemini-extension/ |
| Kiro IDE | Power | Powers panel β Add Custom Power | integrations/kiro/ |
| Azure (Container Apps / VM) | Deployment + Agent | python azure_mcp_operations.py deploy | integrations/azure/ |
| Google Cloud (Cloud Run / GKE / VM) | Deployment | python gcp_mcp_operations.py deploy | integrations/google/ |
| Google ADK Agent | Agent | python adk_agent_operations.py deploy | integrations/google/adk/ |
| GitHub MCP Registry | Registry | mcp-publisher publish | integrations/github/ |
For full documentation on all integrations, see the Platform Integrations Guide.
General Troubleshooting for All Agents
Common Issues:
-
"Command not found: uvx"
- Install
uv:curl -LsSf https://astral.sh/uv/install.sh | sh - Or use Docker: Replace
uvxwithdocker run --rm --env-file /path/to/.env zscaler/zscaler-mcp-server:latest
- Install
-
".env file not found"
- Use absolute paths, not relative paths
- Verify the file exists at the specified path
- Check file permissions (should be readable)
-
"Authentication failed"
- Verify all required OneAPI environment variables are in
.env - Check that credentials are correct and not expired
- Verify all required OneAPI environment variables are in
-
"Tools not appearing"
- Some agents require you to enable tools in their UI
- Check agent logs for connection errors
- Verify the MCP server is running (check agent's MCP status)
-
"Server connection timeout"
- Ensure the MCP server can start successfully
- Test manually:
uvx --env-file /absolute/path/to/.env zscaler-mcp - Check for port conflicts if using HTTP transports
-
Windows:
ModuleNotFoundError: No module named 'rpds.rpds'(Claude Desktop extension)- The extension bundles macOS/Linux binaries. Use manual configuration with
uvx zscaler-mcpinstead. - See Troubleshooting: Windows.
- The extension bundles macOS/Linux binaries. Use manual configuration with
-
Windows:
'C:\Program' is not recognized(Remote MCP withnpx)- Paths with spaces break
npxwhen called directly. Use"command": "cmd"with"args": ["/c", "npx", ...]instead. - See Troubleshooting: Windows npx path issues.
- Paths with spaces break
-
Non-HTTPS URLs are only allowed for localhost(mcp-remote)mcp-remoteenforces HTTPS for non-localhost URLs by default. Add"--allow-http"to theargsarray before--header.- See Troubleshooting: mcp-remote HTTPS enforcement.
-
self-signed certificate/DEPTH_ZERO_SELF_SIGNED_CERT(mcp-remote with TLS)- When using self-signed certificates, add
"env": { "NODE_TLS_REJECT_UNAUTHORIZED": "0" }to the MCP server entry in your client config. - See Troubleshooting: Self-signed certificates.
- When using self-signed certificates, add
Getting Help:
- Check agent-specific logs (usually in Help/View menu)
- Test the server manually to isolate agent vs server issues
- Review the Troubleshooting section for more details
