API Documentation

MCP provides a simple, powerful API for AI systems to access up-to-date ML library documentation and reduce hallucinations.

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Quick Start

Get up and running with MCP in minutes with our simple API.

Reliable Service

99.9% uptime SLA with enterprise-grade infrastructure.

Comprehensive Docs

Access documentation for all major ML libraries in one place.

API Reference

Complete documentation for the MCP API.

What is the MCP API?

The Model Context Protocol (MCP) API provides a standardized way for AI systems to access accurate, up-to-date documentation for ML libraries. By using MCP, AI assistants and LLMs can:

Retrieve current documentation for popular ML libraries
Access code examples and usage patterns
Search across library documentation with semantic queries
Verify function signatures and parameters
Stay updated with the latest API changes

Base URL

https://api.getmcp.dev/v1

Response Format

All API responses are returned in JSON format and include a success field indicating whether the request was successful, along with the requested data.

{
  "success": true,
  "data": {
    // The requested data
  },
  "meta": {
    // Metadata about the request/response
  }
}

Need Help?

If you have questions about using the MCP API or need assistance with integration, our support team is ready to help.