API Docs MCP Server

An MCP server for crawling API documentation websites and exposing their content through the Model Context Protocol. This allows AI models to search, browse, and reference API specifications.

Features

Crawls API documentation websites to extract structured information
Exposes API docs as resources through MCP
Provides search tools for finding specific API endpoints
Includes prompt templates for common API documentation tasks
Stores crawled data for offline access

Installation

# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install the package
pip install -e .

Usage

Starting the server

python -m src.main --url https://example-api-docs.com

Connecting to the server

This MCP server can be connected to any MCP client, such as Claude for Desktop. Configure your client to use this server with:

{
  "api-docs": {
    "command": "python",
    "args": ["-m", "src.main", "--url", "https://example-api-docs.com"]
  }
}

MCP Capabilities

Resources

API endpoint specifications
Data models and schemas
API examples and code snippets

Tools

search_api: Search for API endpoints by name, path, or description
get_endpoint_details: Get detailed information about a specific endpoint
list_endpoints: List all available API endpoints
find_examples: Find examples for a specific API endpoint

Prompts

explain_endpoint: Generate a natural language explanation of an API endpoint
compare_endpoints: Compare two API endpoints
generate_code: Generate sample code for using an API endpoint

License

MIT

This server cannot be installed

security - not tested

license - not found

quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

An MCP server that crawls API documentation websites and exposes their content to AI models, enabling them to search, browse, and reference API specifications.

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