What Are MCP Tools?

Think of MCP (Model Context Protocol) as a translator between an AI model and outside systems (like Amazon Ads). Each MCP tool is like a remote control button that tells the AI how to interact with Amazon Ads. Without MCP tools, the AI would have no idea how to “talk” to Amazon Ads.

With MCP tools:

• The AI knows the exact endpoints to call.
• The AI can request campaign reports, budgets, or targeting data safely.
• Everything is structured, so the AI doesn’t break things by making random guesses.

👉 In short: MCP tools = a safe, well-labeled toolkit that lets AI work with the Amazon Ads API.

🚀 What is Amazon Ads API MCP SDK?

The Amazon Ads API MCP SDK is an open-source implementation that provides a robust foundation for creating AI-powered advertising tools, chatbots, and automated services.

✨ Key Features

• 🔌 MCP Integration: Full Model Context Protocol compliance for AI application integration
• 🌍 Multi-Region Support: NA, EU, and FE region endpoints with automatic routing
• 📊 Comprehensive API Coverage: Campaigns, profiles, reporting, DSP, AMC workflows, and more
• 📝 Type Safety: Full Pydantic model support with comprehensive type hints
• 🧪 Production Ready: Includes testing, validation, and error handling

🎯 Use Cases

Claude Desktop Integration

• Campaign Management: Ask Claude to create, update, or analyze campaigns
• Performance Insights: Get AI-powered analysis of your advertising performance
• Budget Optimization: Let Claude suggest budget adjustments based on performance
• Creative Testing: Get recommendations for ad creative improvements
• Reporting: Generate custom reports and insights on demand

AI Applications

• Marketing Chatbots: Build conversational AI that can manage Amazon Ads campaigns
• Automated Reporting: AI-powered insights and performance analysis
• Smart Budget Management: Intelligent budget optimization using AI
• Creative Optimization: AI-driven ad creative testing and optimization

Enterprise Services

• Marketing Automation Platforms: Integrate Amazon Ads into existing marketing tools
• Agency Management Systems: Multi-client, multi-account advertising management
• E-commerce Integrations: Connect Amazon Ads with e-commerce platforms
• Analytics Dashboards: Real-time advertising performance monitoring

Developer Tools

• API Wrappers: Create custom SDKs for specific use cases
• Testing Frameworks: Automated testing for Amazon Ads integrations
• Development Tools: Local development and debugging utilities

📚 What Is Included In the Amazon Ads MCP?

There is broad coverage in the MCP server for the published in the Amazon Ads API. Each aligns with a collection of operations within the Amazon Ads API. This includes services like the new Campaign Management services in the new Amazon Ads API v1, Exports, Amazon Marketing Cloud and many more.

Here is a representative list of the various Amazon API services in the MCP:

• Accounts
• Audiences
• Reporting
• Brand metrics
• Sponsored Products
• Sponsored Brands
• Sponsored Display
• Amazon DSP
• Amazon Attribution
• Recommendations & insights
• Creatives
• Change history
• Data provider
• Products
• Unified pre-moderation
• Moderation
• Amazon Marketing Stream
• Locations
• Exports
• Media Planning
• Amazon Ads API v1 (Beta)

🧪 Amazon Ads API v1 (Beta)

The Amazon Ads API v1 represents a reimagined approach to the Amazon Ads API, built from the ground up to provide a seamless experience across all Amazon advertising products through a common model. One major benefit of this common model is improved compatibility with code generation tools such as client library generators.

⚠️ Beta Notice: These APIs are currently in beta at Amazon. Features and endpoints may change. Use in production with caution.

Package Name	Description	Prefix
ads-api-v1-sp	Sponsored Products v1	spv1_
ads-api-v1-sb	Sponsored Brands v1	sbv1_
ads-api-v1-dsp	Amazon DSP v1	dspv1_
ads-api-v1-sd	Sponsored Display v1	sdv1_
ads-api-v1-st	Sponsored Television v1	stv1_

To activate Ads API v1 packages, add them to your AMAZON_AD_API_PACKAGES environment variable:

# Example: Enable Sponsored Products v1 and DSP v1
AMAZON_AD_API_PACKAGES="profiles,ads-api-v1-sp,ads-api-v1-dsp"

For more information, see Amazon's Campaign Management Overview.

Installation

We recommend installing Amazon Ads API MCP with 🐳 Docker:

docker pull openbridge/amazon-ads-mcp

Copy the environment template

cp .env.example .env

Edit .env with your settings

Start the server with Docker Compose

docker-compose up -d

The server will be available at http://localhost:9080

Check logs

docker-compose logs -f

Stop the server

docker-compose down

For full installation instructions, including verification, upgrading, and developer setup, see the Installation Guide.

Configuration

Amazon Ads requires that all calls to the API are authorized. If you are not sure what this means, you should read the Amazon docs:

• Amazon Ads API onboarding overview: https://advertising.amazon.com/API/docs/en-us/guides/onboarding/overview
• Getting started with the Amazon Ads API: https://advertising.amazon.com/API/docs/en-us/guides/get-started/overview

There are two paths for connecting to the API;

1. Bring Your Own App (BYOA)
2. Leverage Partner Apps

Bring Your Own Amazon Ads API App

If you have your own Amazon Ads API app, or want to create one, the process is detailed below.

1. Register Your Application with Amazon

1. Go to the Amazon Developer Console
2. Create or select your Login with Amazon application
3. Note your Client ID and Client Secret
4. Set your callback URL to "Allowed Return URLs". This is where you are running this server:
   • For production: https://your-server.com/auth/callback
   • For local development: http://localhost:8000/auth/callback

Once you have your app secured and approved by Amazon, you will need the client ID and secret:

# Amazon Ads API Credentials (required)
AMAZON_AD_API_CLIENT_ID="your-client-id"
AMAZON_AD_API_CLIENT_SECRET="your-client-secret"

Make sure these are in your .env file. Also, make sure you set your authorization method to direct in the same .env:

AUTH_METHOD=direct

Complete OAuth Flow

To authorize your connection to Amazon, you need to complete an OAuth workflow as an end user. First, you need to set your region. Authorization occurs at the region level and not setting your region may cause a failure. The server will default to the na region. You can manually set the region with tool set_active_region.

• Tool: set_active_region
• Parameters: na | eu | fe

Example prompt: "Set my current region to eu"

Step 1: Start OAuth

To connect to Amazon Ads API, you use an MCP tool to start your OAuth flow

• Tool: start_oauth_flow
• Example prompt: "Start my OAuth flow"

Step 2: Redirect to Amazon Ads

In this example, you are prompted to click the link that will open a browser window and request approval at Amazon.

Step 3: Approve Request

In the browser window, Amazon will prompt that you approve the request to connect.

Step 4: Success

If all goes well, you will see a success response. You can close the browser window and go back to your client. If you see something else, attempt the process again and confirm all your configuration elements are correct

Step 5: Confirmation

To confirm that your MCP server is connected to the Amazon Ads API, check your OAuth status

• Tool: check_oauth_status
• Example prompt: "Check my OAuth status"

You are ready to start interacting with the Amazon Ads API system!

Partner Applications: Token Authentication

You can configure your client, like Claude, to use authentication by supplying a valid access token. This is most appropriate for service accounts, long-lived API keys, CI/CD, applications where authentication is managed separately, or other non-interactive authentication methods.

Openbridge Partner App

As an Ads API Partner application provider, Openbridge offers a ready-to-go gateway to the Amazon Ads API. You log into your Openbridge account, provision a token, then set your token in your client config (see below).

First, set Openbridge as the auth method:

AUTH_METHOD=openbridge

That is it for the server config. To access the server, you need configure the client, like Claude Desktop, to pass the token directly. (see Example MCP Client: Connect Claude Desktop)

Authorized Amazon Accounts

Your Amazon authorizations reside in Openbridge. Your first step in your client is to request your current identities: "List my remote identities". Next, you would tell the MCP server to use one of these identities: "Set my remote identity to <>". You can then ask the MCP to List all of my Amazon Ad profiles linked to that account. If you do not see an advertiser listed, set a different identity.

Set Your Amazon Ads MCP Packages

To activate, you need to set a comma-separated package to load. For example, to activate profiles and amc-workflow, set your package environment like this:

• AMAZON_AD_API_PACKAGES="profiles,amc-workflow"

Here is the list of tool packages available in the server:

• profiles
• campaign-manage
• accounts-manager-accounts
• accounts-ads-accounts
• accounts-portfolios
• accounts-billing
• accounts-account-budgets
• audiences-discovery
• reporting-version-3
• brand-benchmarks
• brand-metrics
• stores-analytics
• sponsored-products
• sp-suggested-keywords
• sponsored-brands-v4
• sponsored-brands-v3
• sponsored-display
• dsp-measurement
• dsp-advertisers
• dsp-audiences
• dsp-conversions
• dsp-target-kpi-recommendations
• amazon-attribution
• audience-insights
• forecasts
• brand-store-manangement
• partner-opportunities
• tactical-recommendations
• persona-builder
• creative-assets
• change-history
• data-provider-data
• data-provider-hashed
• products-metadata
• products-eligibility
• unified-pre-moderation-results
• moderation-results
• amazon-marketing-stream
• locations
• exports-snapshots
• marketing-mix-modeling
• reach-forecasting
• amc-administration
• amc-workflow
• amc-rule-audience
• amc-ad-audience
• ads-api-v1-sp (Beta)
• ads-api-v1-sb (Beta)
• ads-api-v1-dsp (Beta)
• ads-api-v1-sd (Beta)
• ads-api-v1-st (Beta)

You will note that some are broken up into smaller groupings. For example, Amazon Marketing Cloud has bundles; amc-ad-audience, amc-administration, amc-rule-audience, and amc-workflow. This is done to create efficiencies and optimizations that reduce context limits in many AI clients.

Understanding Amazon Ads MCP Tools

Amazon Ads MCP tools have prefixes (like cp_ for Campaign Performance or amc_ for Amazon Marketing Cloud) to help organize the specific Ads API operation.

Example prefixes:

• cp_ → campaign/advertising APIs
• amc_ → AMC-related APIs
• dsp_ → DSP APIs
• sd_ → Sponsored Display
• ams_ → Amazon Marketing Stream
• spv1_ → Sponsored Products v1 (Beta)
• sbv1_ → Sponsored Brands v1 (Beta)
• dspv1_ → Amazon DSP v1 (Beta)
• sdv1_ → Sponsored Display v1 (Beta)
• stv1_ → Sponsored Television v1 (Beta)

This will translate into collections of tools that align with the API operations that are available:

Campaign Management (cp_)

• cp_listCampaigns — List all campaigns
• cp_getCampaign — Get specific campaign
• cp_createCampaign — Create new campaign
• cp_updateCampaign — Update campaign
• cp_archiveCampaign — Archive campaign

Sponsored Products (sp_)

• sp_listProductAds — List product ads
• sp_createKeywords — Create keywords
• sp_updateBids — Update keyword bids
• sp_getNegativeKeywords — Get negative keywords

AMC Workflows (amc_)

• amc_listWorkflows — List AMC workflows
• amc_executeWorkflow — Run workflow
• amc_getWorkflowStatus — Check workflow status

Users would see tools like:

• "List my Amazon Ads campaigns"
  → Claude uses: cp_listCampaigns

• "Create an AMC workflow"
  → Claude uses: amc_createWorkflow

• "Export my sponsored products ads data" → Claude uses: export_createAdExport

📥 Downloading Reports & Exports

When you request a report or export, the data is downloaded server-side and stored in profile-scoped directories. You can then retrieve files via HTTP.

Download Workflow

1. Request Report          2. List Downloads           3. Get Download URL        4. Download File
────────────────           ───────────────            ─────────────────         ─────────────────
"Generate a campaign       "List my downloaded        "Get URL for the          Open URL in browser
 performance report"        files"                     campaign report"          or use curl
         │                        │                          │                         │
         ▼                        ▼                          ▼                         ▼
request_and_download      list_downloads()          get_download_url()        GET /downloads/...
    _report()                     │                          │
         │                        │                          │
         ▼                        ▼                          ▼
   data/profiles/         Returns file list          Returns HTTP URL
   {profile_id}/          with metadata              like:
   reports/...                                       http://localhost:9080/
                                                     downloads/reports/...

Example Prompts

Task	Example Prompt
Download a report	"Generate a Sponsored Products report for January 2026"
List available files	"Show me my downloaded files"
Get download link	"Get the download URL for the report we just created"
Filter by type	"List my downloaded campaign exports"

HTTP Download API

Once you have a download URL, you can retrieve files directly:

# List available downloads
curl http://localhost:9080/downloads

# Download a specific file
curl -O http://localhost:9080/downloads/reports/async/report_123.json.gz

# With authentication (if enabled)
curl -H "Authorization: Bearer your-token" \
     -O http://localhost:9080/downloads/exports/campaigns/export.json

Profile Isolation

Files are stored per-profile to ensure data isolation:

• Each profile's files are in data/profiles/{profile_id}/
• You can only access files for your active profile
• Set your profile first: "Set my active profile to 123456789" HTTP download endpoints and download tools serve profile-scoped files only. Move legacy files into a profile directory for access.

Advertiser Profiles & Regions

Setting Your Advertiser Profile

Per Amazon: Profiles play a crucial role in the Amazon Ads API by determining the management scope for a given call. A profile ID is a required credential to access an advertiser's data and services in a specific marketplace.

You may not know what profile(s) authorization grants you access to. You can list all advertising profiles accessible by your authorization:

• Tool: ac_listProfiles
• Example prompt: "List my advertiser profile ids"

Warning: Large accounts can return very large profile lists that may exceed client context limits. Prefer these bounded tools for discovery:

• Tool: summarize_profiles — "Summarize my advertiser profiles"
• Tool: search_profiles — "Find profiles with Acme in the name in US"
• Tool: page_profiles — "Show the first 20 UK profiles"
• Tool: refresh_profiles_cache — "Refresh my profile list cache"

Response includes profile details:

• profileId, countryCode, currencyCode
• dailyBudget, timezone
• accountInfo (type: seller/vendor/agency)

Let's assume your list included profile ID 1043817530956285. You can check for more details by getting profile details to confirm this is the one you want to use.

• Tool: ac_getProfile
• Example prompt: "Get the details for my profile_id: 1043817530956285"

Assuming this is the profile you want to use, you need to set the profile Amazon requires for API calls:

• Tool: set_active_profile
• Example prompt: "Set my active profile id to 1043817530956285"

When you set the profile, it determines:

• Which account's data you access
• Currency and timezone for reports
• Available campaigns/ads/keywords

The profile ID will be set in the background for the duration of your session. Repeat the process if you want to switch to a new profile.

Most calls to the Amazon Ads API require a Region. Each advertiser profile ID is associated with an advertising account in a specific region/marketplace.

The region is part of an advertiser profile. When you set an advertiser profile with set_active_profile, it will set the region that is associated with the profile automatically.

• Tool: set_active_profile

Example prompt: "Set my active advertiser profile to 111111111111"

Since profile ID 111111111111 is based in na, the region will be set based on the profile region.

Set Active Region

The Amazon Ads MCP server includes tools for managing API regions as defaults and dynamically, allowing you to switch between North America (na), Europe (eu), and Far East (fe) regions without restarting the server.

Region Code	Name	API Endpoint
na	North America	https://advertising-api.amazon.com
eu	Europe	https://advertising-api-eu.amazon.com
fe	Far East	https://advertising-api-fe.amazon.com

When you set a region, the system automatically:

1. Updates API endpoints - Routes API calls to the correct regional endpoint
2. Updates OAuth endpoints - Uses the correct token refresh endpoint for the region
3. Clears cached tokens - Ensures fresh authentication for the new region
4. Preserves other settings - Keeps profile ID and identity settings intact

IMPORTANT: Avoid Region Mismatch: If you attempt to set a region that is not associated with your advertiser profile, the Ads API will reject your requests. For example, if a profile ID is attached to na and you manually set the region to eu, you have created a mismatch which will cause API request failures.

Get Active Region

If you are not sure what region is set, you can check for the region

• Tool: get_active_region
• Returns: Current region, endpoints, and configuration source

Example prompt: "What is my current active region?"

Example MCP Client: Connect Claude Desktop

Navigate to Connector Settings

Open Claude in your browser and navigate to the settings page. You can access this by clicking on your profile icon and selecting “Settings” from the dropdown menu. Once in settings, locate and click on the “Connectors” section in the sidebar. This will display your currently configured connectors and provide options to add new ones.

Edit your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

In this example, we show how to use the bearer token using the Openbridge API key. Add this configuration to your mcpServers section:

{
  "mcpServers": {
    "amazon_ads_mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "http://${HOSTNAME}:${PORT}/mcp/",
        "--allow-http",
        "--header",
        "Authorization:Bearer ${OPENBRIDGE_API_KEY}",
        "--header",
        "Accept:application/json,text/event-stream",
        "--debug"
      ],
      "env": {
        "MCP_TIMEOUT": "300",
        "HOSTNAME": "your_hostname",
        "PORT": "your_server_port",
        "MCP_TIMEOUT": "120000",
        "MCP_REQUEST_TIMEOUT": "60000",
        "MCP_CONNECTION_TIMEOUT": "10000",
        "MCP_SERVER_REQUEST_TIMEOUT": "60000",
        "MCP_TOOL_TIMEOUT": "120000",
        "MCP_REQUEST_WARNING_THRESHOLD": "10000",
        "OPENBRIDGE_API_KEY": "your_openbridge_token_here"
      }
    }
  }
}

Note: Replace hostname, port and your_openbridge_token_here with your actual OpenBridge token.

IMPORTANT: Cursor and Claude Desktop (Windows) have a bug where spaces inside args aren't escaped when it invokes npx, which ends up mangling these values. You can work around it using: mcp-remote custom headers documentation.

The config would look something like this:

{
  "mcpServers": {
    "amazon_ads_mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "http://${HOSTNAME}:${PORT}/mcp/",
        "--allow-http",
        "--header",
        "Authorization:${AUTH_HEADER}"
        "--header",
        "Accept: application/json, text/event-stream"
      ],
      "env": {
        "MCP_TIMEOUT": "300",
        "HOSTNAME": "your_hostname",
        "PORT": "your_server_port",
        "MCP_TIMEOUT": "120000",
        "MCP_REQUEST_TIMEOUT": "60000",
        "MCP_CONNECTION_TIMEOUT": "10000",
        "MCP_SERVER_REQUEST_TIMEOUT": "60000",
        "MCP_TOOL_TIMEOUT": "120000",
        "MCP_REQUEST_WARNING_THRESHOLD": "10000",
        "AUTH_HEADER": "Bearer <your_openbridge_token_here>"
      }
    }
  }
}

Here is another example, which can be used if you are using OAuth since the OPENBRIDGE_API_KEY is not needed:

{
  "mcpServers": {
    "amazon_ads_mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "http://localhost:9080/mcp/",
        "--allow-http"
      ],
      "env": {
        "MCP_TIMEOUT": "120000",
        "MCP_REQUEST_TIMEOUT": "60000",
        "MCP_CONNECTION_TIMEOUT": "10000",
        "MCP_SERVER_REQUEST_TIMEOUT": "60000",
        "MCP_TOOL_TIMEOUT": "120000",
        "MCP_REQUEST_WARNING_THRESHOLD": "10000"
      }
    }
  }
}

Note: For various Claude configurations similar to what was shown above, see the MCP Remote docs for the latest settings/options.

3. Restart Claude Desktop

After saving the configuration file, restart Claude Desktop to load the new MCP server.

⚠️ Context Limits and Active MCP Server Tools

MCP tool registration and use can impact your AI systems usage limits. Usage limits control how much you can interact with an AI system, like Claude, over a specific time period. As Anthropic states, think of the amount of information/data used as drawing down on a "conversation budget". That budget determines how many messages you can send to your AI client, or how long you can work, before needing to wait for your limit to reset.

MCP Server tools contribute metadata like titles, descriptions, hints, and schemas to the model's context. This metadata is loaded into the LLM’s context window, which acts as its short-term working memory.

Each client, like Claude, has a fixed-size context window. This defines the maximum amount of information it can process in a single interaction—including user prompts, system instructions, tool metadata, and any prior messages.

The more tools you activate, the more of that limited space gets consumed up front. When you activate many tools, their combined schema and config payloads can significantly use up this context and you may quickly hit the context ceiling. This is when you’ll start seeing errors or warnings about exceeding the chat length limit.

The Amazon Ads MCP provides coverage across the entire API. As a result, there can be 100s of tools!

• More tools = less room for user interaction: Activating unnecessary tools reduces available space for your actual prompt or data.
• Start small: Activate only what you need for the current task. You can always add more later.

If you're encountering unexpected length issues, review which tools are active. Trimming unused ones can help minimize context use.

Code Mode

Code Mode is an optional feature that dramatically reduces tool token consumption. Instead of loading every tool schema into the LLM's context upfront, Code Mode replaces the full catalog with four lightweight meta-tools. The LLM discovers tools on demand and executes them via sandboxed Python.

Token Impact

Mode	Tools in Context	Tokens Used	Context Window
Standard	55	~32,000	16.1%
Code Mode	4	~470	0.2%
Reduction			98.6%

How It Works

Code Mode uses a 4-stage discovery pattern:

Stage 1: tags          → Browse categories: "campaign-management (20), accounts (14), ..."
Stage 2: search        → Find tools: search("campaigns") → cm_listCampaigns, cm_createCampaign, ...
Stage 3: get_schema    → Get parameters: get_schema("cm_listCampaigns") → full input schema
Stage 4: execute       → Run code: sandboxed Python with await call_tool("cm_listCampaigns", {...})

All 200+ tools remain fully accessible. The LLM simply discovers and calls them on demand rather than loading every schema upfront.

Activating Code Mode

Add one environment variable to your configuration:

CODE_MODE=true

Docker Compose — add to your environment section:

environment:
  - CODE_MODE=true

Docker Run:

docker run -d --env-file .env -e CODE_MODE=true -p 8000:8000 amazon-ads-mcp:latest

Local Development:

CODE_MODE=true uv run python -m amazon_ads_mcp.server --transport http --port 9080

Configuration Options

Variable	Default	Description
CODE_MODE	false	Enable code mode
CODE_MODE_INCLUDE_TAGS	true	Include tag browsing in discovery (set false for small catalogs)
CODE_MODE_MAX_DURATION_SECS	30	Maximum execution time per sandbox run
CODE_MODE_MAX_MEMORY	50000000	Memory limit per sandbox run (50 MB)

Using Code Mode

Once enabled, your MCP client (Claude Desktop, Claude Code, etc.) will see only four tools instead of the full catalog.

Browse available categories:

"What tool categories are available?"

The LLM calls tags and sees categories like campaign-management, sponsored-products, programmatic-dsp, accounts, reporting, etc.

Find specific tools:

"Find tools for managing campaigns"

The LLM calls search("campaigns") and gets matching tool names with brief descriptions.

Get tool details:

"Show me the parameters for creating a campaign"

The LLM calls get_schema("cm_CreateCampaign") and gets the full input schema.

Execute operations:

"List my enabled campaigns"

The LLM calls execute with Python code:

result = await call_tool("cm_QueryCampaign", {
    "body": {"stateFilter": {"include": ["ENABLED"]}}
})

Tool Categories

When the LLM calls tags, it sees human-readable categories mapped from the API prefixes:

Category	Prefix	Description
campaign-management	cm	Create, update, query, delete campaigns, ad groups, ads, targets
sponsored-products	sp	Sponsored Products targeting, keywords, bids
sponsored-brands	sb	Sponsored Brands campaigns (v3 + v4)
sponsored-display	sd	Sponsored Display campaign and targeting tools
programmatic-dsp	dsp	DSP advertisers, audiences, conversions, measurement
amazon-marketing-cloud	amc	AMC workflows, audiences, administration
accounts	ac	Profiles, billing, budgets, portfolios, manager accounts
reporting	rp	V3 reporting tools
brand-insights	br	Brand benchmarks and metrics
stores	st	Stores analytics
server-management	—	Profile, region, OAuth, download tools

When to Use Code Mode

Use Code Mode when:

• You have many tool packages activated and are hitting context limits
• You want maximum context space for conversation and data analysis
• Your MCP client supports tool discovery patterns (Claude Desktop, Claude Code)

Use Standard Mode when:

• You have a small number of packages activated (1-3)
• You need the fastest possible tool invocation (no discovery step)
• Your workflow uses the same few tools repeatedly

Verifying Code Mode

After starting the server with CODE_MODE=true, verify it is active:

# Check server logs for confirmation
docker logs <container> 2>&1 | grep "Code mode"
# Expected: "Code mode active: 4 meta-tools exposed (tags, search, get_schema, execute)"

In your MCP client, you should see only four tools: tags, search, get_schema, and execute. If you see the full tool catalog, code mode is not active — check your environment variable.

Troubleshooting

Server not connecting?

• Ensure the Docker container is running: docker-compose ps
• Check server logs: docker-compose logs -f
• Verify the port is correct (8765 by default)

Authentication errors?

• Check your OpenBridge token is valid
• Ensure the token is properly set in the environment
• Verify your Amazon Ads API access

Claude not recognizing the server?

• Restart Claude Desktop after configuration changes
• "Reload Page" in Claude Desktop if the MCP is not active
• Check the JSON syntax is valid
• Ensure the server name matches exactly

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.