ReadMe MCP: Turbocharge Your API for AI Assistants

Overview

Model Context Protocol (MCP) is revolutionizing how AI assistants interact with APIs, and ReadMe is bringing this power directly to your developer hub! Create an MCP server from your documentation that transforms your API docs into a dynamic resource that AI assistants can actually understand and work with.

Key Features

  • Simple OpenAPI Integration: We'll turn your OpenAPI spec into an MCP powerhouse!
  • AI-Ready Architecture: Your developers' AI assistants can connect directly to your MCP server, unlocking:
    • Seamless access to your OpenAPI specification for smarter code generation
    • Direct execution of API commands for sophisticated AI workflows
    • Intelligent documentation search powered by Owlbot
  • Comprehensive AI Toolbox: Your MCP server comes equipped with powerful capabilities:
    • OpenAPI-Powered Tools:
      • Execute_request_body - Make API calls directly from your specification
      • Get_endpoint - Pull in detailed endpoint information on demand
      • Get_request_body - Access structured request parameters
      • Get_response_schema - Understand what your API returns
      • List_endpoints - Browse all available API endpoints
      • List_security_schemes - Access authentication requirements
      • Search_schema - Find exactly what you need in your API spec
    • Documentation Search:
      • search_documentation - Leverage Owlbot to search your entire knowledge base

How It Works

We create a dedicated MCP server that connects to your OpenAPI specification and Owlbot search functionality. This creates a bridge between your API documentation and AI assistants, making your API instantly more accessible and understandable to AI tools.

Why You'll Love It

  • Supercharged AI Understanding: Give AI assistants (like Claude or GitHub Copilot) the ability to truly comprehend your API without overwhelming their context windows
  • Automated Workflow Creation: Enable the creation of sophisticated scripts that can interact with your API in powerful ways
  • Reduced Developer Friction: Help your users get more done with less effort as their AI tools can now understand and work with your API intuitively

Getting Started

It couldn't be simpler - just share your MCP URL with your developers, and they can connect their AI assistants and tools directly to your API's brain.

ReadMe hosts a remote MCP server at https://docs.readme.com/mcp. Configure your AI development tools to connect to this server using your ReadMe API key.

Add to~/.cursor/mcp.json:

{
  "mcpServers": {
    "developers": {
      "url": "https://docs.readme.com/developers/mcp?authorization=Bearer [YOUR_API_KEY]"
    }
  }
}

Replace [YOUR_API_KEY] with your actual ReadMe API key encoded in base64.

Testing Your MCP Setup

Once configured, you can test your MCP server connection:

  1. Open your AI editor (Cursor, Windsurf, etc.)
  2. Start a new chat with the AI assistant
  3. Ask about ReadMe - try questions like:
    • "How do I [common use case]?"
    • "Show me an example of [API functionality]"
    • "Create a [integration type] using ReadMe"

The AI should now have access to your ReadMe account data and documentation through the MCP server.