API Docs MCP Server
An MCP server that crawls API documentation websites and exposes their content to AI models, enabling them to search, browse, and reference API specifications.
README
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 descriptionget_endpoint_details: Get detailed information about a specific endpointlist_endpoints: List all available API endpointsfind_examples: Find examples for a specific API endpoint
Prompts
explain_endpoint: Generate a natural language explanation of an API endpointcompare_endpoints: Compare two API endpointsgenerate_code: Generate sample code for using an API endpoint
License
MIT
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