About ai.thinkneo/control-plane
ai.thinkneo/control-plane is an MCP server in the Healthcare category: enterprise AI governance: spend, guardrails, policy, budgets, compliance, and provider health.
Install
git clone https://github.com/thinkneo-ai/mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
ThinkNEO MCP Server
Enterprise AI Control Plane — Remote MCP server for ThinkNEO.
Enables Claude, ChatGPT, Copilot, Gemini, and any MCP-compatible client to interact directly with ThinkNEO's governance capabilities: spend tracking, guardrail evaluation, policy enforcement, budget monitoring, compliance status, and provider health.
- Registry:
ai.thinkneo/control-plane - Endpoint:
https://mcp.thinkneo.ai/mcp - Transport:
streamable-http - Auth: Bearer token (ThinkNEO API key) for protected tools
Tools
| Tool | Description | Auth |
|---|---|---|
thinkneo_read_memory |
Read Claude Code project memory files | Public |
thinkneo_check_spend |
AI cost breakdown by provider/model/team | Required |
thinkneo_evaluate_guardrail |
Pre-flight prompt safety evaluation | Required |
thinkneo_check_policy |
Verify model/provider/action is allowed | Required |
thinkneo_get_budget_status |
Budget utilization and enforcement | Required |
thinkneo_list_alerts |
Active alerts and incidents | Required |
thinkneo_get_compliance_status |
SOC2/GDPR/HIPAA readiness | Required |
thinkneo_provider_status |
Real-time AI provider health | Public |
thinkneo_schedule_demo |
Book a demo with ThinkNEO | Public |
Connect in Claude Desktop
Add to ~/.claude/claude_desktop_config.json (macOS/Linux) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
With authentication (full access):
{
"mcpServers": {
"thinkneo": {
"url": "https://mcp.thinkneo.ai/mcp",
"headers": {
"Authorization": "Bearer <YOUR_THINKNEO_API_KEY>"
}
}
}
}
Public tools only (no API key):
{
"mcpServers": {
"thinkneo": {
"url": "https://mcp.thinkneo.ai/mcp"
}
}
}
To get your ThinkNEO API key, request access at thinkneo.ai/talk-sales or email hello@thinkneo.ai.
Connect in VS Code (GitHub Copilot)
Add to .vscode/mcp.json in your workspace or user settings:
{
"servers": {
"thinkneo": {
"type": "http",
"url": "https://mcp.thinkneo.ai/mcp",
"headers": {
"Authorization": "Bearer <YOUR_THINKNEO_API_KEY>"
}
}
}
}
Test with curl
List available tools (no auth required):
curl -X POST https://mcp.thinkneo.ai/mcp \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"method": "tools/list",
"id": 1,
"params": {}
}'
Check provider status (public tool):
curl -X POST https://mcp.thinkneo.ai/mcp \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 2,
"params": {
"name": "thinkneo_provider_status",
"arguments": {"provider": "openai"}
}
}'
Check AI spend (requires Bearer token):
curl -X POST https://mcp.thinkneo.ai/mcp \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <YOUR_API_KEY>" \
-d '{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 3,
"params": {
"name": "thinkneo_check_spend",
"arguments": {
"workspace": "prod-engineering",
"period": "this-month",
"group_by": "provider"
}
}
}'
Evaluate a prompt against guardrails (requires Bearer token):
curl -X POST https://mcp.thinkneo.ai/mcp \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <YOUR_API_KEY>" \
-d '{
"jsonrpc": "2.0",
"method": "tools/call",
"id": 4,
"params": {
"name": "thinkneo_evaluate_guardrail",
"arguments": {
"text": "Summarize this document for me",
"workspace": "prod-engineering",
"guardrail_mode": "enforce"
}
}
}'
Self-hosted Deployment
Prerequisites
- Docker + Docker Compose
- Nginx reverse proxy (for HTTPS)
Quick start
git clone https://github.com/thinkneo-ai/mcp-server.git
cd mcp-server
# Configure environment
cp .env.example .env
# Edit .env: set THINKNEO_MCP_API_KEYS and THINKNEO_API_KEY
# Build and start
docker compose up -d
# Verify
curl -X POST http://localhost:8081/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","method":"tools/list","id":1,"params":{}}'
Nginx configuration (HTTPS at mcp.thinkneo.ai)
server {
listen 443 ssl;
server_name mcp.thinkneo.ai;
ssl_certificate /etc/letsencrypt/live/mcp.thinkneo.ai/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/mcp.thinkneo.ai/privkey.pem;
location /mcp {
proxy_pass http://127.0.0.1:8081/mcp;
proxy_http_version 1.1;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
# Required for streamable-http (keep connection open)
proxy_buffering off;
proxy_read_timeout 300s;
proxy_send_timeout 300s;
}
}
Publish to MCP Registry
Option A — DNS authentication (recommended, uses ai.thinkneo/control-plane namespace)
# 1. Generate Ed25519 key pair
openssl genpkey -algorithm Ed25519 -out /tmp/thinkneo-mcp-key.pem
# 2. Get the public key value for the DNS TXT record
PUB=$(openssl pkey -in /tmp/thinkneo-mcp-key.pem -pubout -outform DER | tail -c 32 | base64)
echo "Add DNS TXT record to thinkneo.ai:"
echo " Host: _mcp"
echo " Type: TXT"
echo " Value: v=MCPv1; k=ed25519; p=${PUB}"
# 3. Wait for DNS propagation (usually 5-30 minutes), then publish
mcp-publisher publish \
--registry-url "https://registry.modelcontextprotocol.io" \
--mcp-file "./server.json" \
--auth-method dns \
--dns-domain thinkneo.ai \
--dns-private-key /tmp/thinkneo-mcp-key.pem
Option B — GitHub authentication (simpler, uses io.github.thinkneo-ai/control-plane namespace)
mcp-publisher login github
mcp-publisher publish \
--registry-url "https://registry.modelcontextprotocol.io" \
--mcp-file "./server.json"
Option C — GitHub Actions (automated on tag push)
See .github/workflows/publish-mcp.yml for the full CI/CD workflow.
Verify registry listing
# Search
curl -s "https://registry.modelcontextprotocol.io/v0/servers?search=thinkneo" | jq .
# Direct lookup
curl -s "https://registry.modelcontextprotocol.io/v0/servers/ai.thinkneo%2Fcontrol-plane" | jq .
License
This project is licensed under the MIT License.
Related
- ThinkNEO Platform: thinkneo.ai
- A2A Agent:
https://agent.thinkneo.ai/a2a(A2A Protocol for agent-to-agent interaction) - MCP Registry: registry.modelcontextprotocol.io
- MCP Spec: modelcontextprotocol.io
- Contact: hello@thinkneo.ai
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