Anypoint MCP Server
An MCP server for MuleSoft Anypoint Platform that enables AI assistants to interact with Anypoint APIs, including accounts, API management, Exchange, monitoring, and more.
README
🔌 Anypoint MCP Server
An MCP (Model Context Protocol) server for MuleSoft Anypoint Platform — lets AI assistants like Claude talk directly to your Anypoint APIs.
🎬 Demo
✨ Features
| Module | Prefix | What it does |
|---|---|---|
| 🏢 Accounts | accounts_* |
Profile, org & environment info |
| ✏️ API Designer | api_designer_* |
Browse & manage Design Center projects |
| 📦 Exchange | exchange_* |
Search & inspect Exchange assets |
| 🔧 API Manager | api_manager_* |
API instances, SLA tiers, contracts |
| 🛡️ API Policies | api_policy_* |
Apply & manage API gateway policies |
| 📊 Metrics | metrics_* |
Traffic, latency & error rate data |
| 📡 Monitoring | monitoring_* |
ARM monitoring queries |
| 🚀 Runtime Manager | runtime_* |
CloudHub 2.0 deployments, Start/Stop/Restart |
| 📬 MQ | mq_* |
Anypoint MQ queues (sandbox by default) |
| 🔐 Secrets Manager | secrets_* |
Secrets Manager vaults & secrets |
| 📋 Reports | reports_* |
On-demand aggregated reports |
🚀 Quick Start
1. Install & build
npm install
npm run build
2. Configure credentials
Create a .env file (a blank template is already included):
ANYPOINT_CLIENT_ID=your-connected-app-client-id
ANYPOINT_CLIENT_SECRET=your-connected-app-client-secret
ANYPOINT_ORG_ID=your-organization-id # optional if profile has one org
ANYPOINT_ENV_ID=your-environment-id # default env for API/Runtime Manager tools
ANYPOINT_BASE_URL=https://anypoint.mulesoft.com # optional, this is the default
MCP_HOST=127.0.0.1
MCP_PORT=3000
MCP_PUBLIC_BASE_URL=https://your-ngrok-host.ngrok-free.dev # optional, for public UI links
💡 Use a Connected App (Client Credentials grant) from Anypoint Access Management. The server exchanges these for a Bearer token on startup and auto-renews before expiry.
3. Start the server
npm start
The server listens at:
| Endpoint | URL |
|---|---|
| 🔌 MCP (Streamable HTTP) | http://127.0.0.1:3000/mcp |
| ❤️ Health check | http://127.0.0.1:3000/health |
4. Connect your AI client
Add this to your MCP client config (e.g. Claude Desktop, Agentik):
{
"mcpServers": {
"anypoint": {
"url": "http://127.0.0.1:3000/mcp"
}
}
}
🐳 Docker
# Build
docker build -t anypoint-mcp-server .
# Run with your .env file
docker run --rm --env-file .env -p 3000:3000 anypoint-mcp-server
🛠️ Development
# Build TypeScript
npm run build
# Open MCP Inspector (browser UI to test tools)
npm run inspector
🖥️ Interactive UI
Several modules render rich interactive HTML UIs inside MCP-capable clients (like Agentik):
| UI | Tool | What you see |
|---|---|---|
| 🎨 Design Center | api_designer_list_projects |
Searchable project carousel |
| 📦 Exchange | exchange_list_assets |
Filterable asset table |
| 🔧 API Manager | api_manager_list_apis |
API instance table |
| 🚀 Runtime Manager | runtime_list_deployments |
Deployment table with Start/Stop buttons |
| 📬 MQ | mq_list_queues |
Queue list (defaults to sandbox env) |
📋 Reports
Generate on-demand aggregated reports with reports_create:
| Report type | Description |
|---|---|
runtime_flow_count |
Flow counts per deployment, grouped by environment |
api_manager_insecure_apis |
APIs with no policies or missing security policies |
metrics_api_health_summary |
Traffic, error rates & response times from Metrics API |
Reports are cached in memory for the life of the server process.
🔒 Auth & Caching
- Token is auto-renewed before expiry — no restarts needed
- Org ID and owner ID are discovered from
/accounts/api/profileon startup and cached - Pass
refresh: trueto profile/environment tools to force a cache reload - All API requests include
Authorization,x-organization-id, andx-owner-idheaders automatically
📚 API References
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
