ControlAPI-MCP

MCP server that exposes any OpenAPI/REST API as MCP tools with dynamic server switching and variable substitution.

🚀 One-Click Install

Click to install directly in your editor - no configuration needed!

Linux / macOS:

📥 Install in VS Code

📥 Install in VS Code Insiders

💡 After Installation: The AI assistant will guide you to connect to an API server. Simply provide the OpenAPI URL when asked, or use the set_server_config tool to connect to your API.

Related MCP server: OpenAPI MCP Server

Quick Start (Auto-Download)

Zero installation - automatically downloads and runs the latest release:

1. Download the auto-run script:

curl -O https://raw.githubusercontent.com/fellowabhi/ControlAPI-openapi-to-mcp/main/auto-run.sh
chmod +x auto-run.sh

2. Use it in your MCP config:

{
  "servers": {
    "controlapi-mcp": {
      "type": "stdio",
      "command": "/path/to/auto-run.sh"
    }
  }
}

Note: You can optionally set OPENAPI_URL, BASE_URL, and SERVER_NICKNAME in env vars, or configure dynamically using the set_server_config tool.

Download from releases or build:

export OPENAPI_URL='http://your-api.com/openapi.json'
export BASE_URL='http://your-api.com'  # optional
./dist/controlapi-mcp

Setup (Development)

pip install -e .

Building Binary

./build.sh

Creates a standalone executable at dist/controlapi-mcp (16MB)

MCP Configuration

Using Binary

{
  "servers": {
    "controlapi-mcp": {
      "type": "stdio",
      "command": "/path/to/openapi-mcp-adapter/dist/controlapi-mcp",
      "env": {
        "OPENAPI_URL": "http://localhost:8000/openapi.json",
        "BASE_URL": "http://localhost:8000",
        "DEBUG_PORT": "45133"
      }
    }
  }
}

Using Python (Development)

{
  "servers": {
    "controlapi-mcp": {
      "type": "stdio",
      "command": "/path/to/project/.venv/bin/python",
      "args": ["-m", "src.main"],
      "cwd": "/path/to/project",
      "env": {
        "OPENAPI_URL": "http://localhost:8000/openapi.json",
        "REFRESH_INTERVAL": "300",
        "PYTHONPATH": "/path/to/project",
        "BASE_URL": "http://localhost:8000",
        "DEBUG_PORT": "45133"
      }
    }
  }
}

Optional: OPENAPI_URL, BASE_URL, SERVER_NICKNAME, DEBUG_PORT (default: 45133)

💡 No Configuration Needed: You can start with no environment variables and configure the server dynamically using the set_server_config tool. The AI assistant will guide you through the setup.

🔍 Debug UI: Access browser-based request/response monitor at http://localhost:45133 (or custom DEBUG_PORT). URL available in get_server_info response.

Features

Cross-Platform Support

• Linux (x86_64) - Full support

• macOS (Intel & Apple Silicon) - Full support

• Windows - Use Python or WSL

Dynamic Server Switching

• Connect to any OpenAPI server at runtime

• Switch between multiple APIs (dev, staging, production)

• Server context tracking with history

• Automatic schema reloading

Available Tools

• set_server_config - Connect to an OpenAPI server (use this first if not configured)

• get_server_info - Check current server and connection status

• get_server_history - View recent server switches

• health_check - Test server connectivity

• list_endpoints - List all API endpoints

• search_schema - Search endpoints by keyword

• execute_request - Make HTTP requests with variable substitution

• set_variable - Store variable (e.g., auth token)

• get_variables - View all stored variables

• reload_schema - Reload current server's schema

Variable Substitution

Use {{variable_name}} in headers, body, or path:

{
  "headers": {
    "Authorization": "{{token}}"
  }
}

Example Workflow

1. First time: set_server_config with openapi_url

2. execute_request to /auth/login → get token

3. set_variable key="token" value="Bearer xyz..."

4. execute_request with Authorization: {{token}}

5. Switch servers: set_server_config to test on different environment