modelcontextprotocol/modelcontextprotocol

Specification and documentation for the Model Context Protocol

What it solves

It provides a standardized way for AI models to access data and tools from different sources, eliminating the need to build custom integrations for every individual AI application or data source.

How it works

It establishes a common protocol specification and schema (defined in TypeScript and available as JSON Schema) that allows AI models and their supporting infrastructure to communicate consistently across different platforms.

Who it’s for

Developers building AI applications, data providers, and AI model providers who want a universal standard for connecting models to context and tools.

Highlights

  • Official MCP specification and protocol schema.
  • Cross-language compatibility via JSON Schema.
  • Comprehensive documentation available at modelcontextprotocol.io.

Related

  • Project
    tableau/tableau-mcp

    A suite of developer primitives using the Model Context Protocol (MCP) to integrate Tableau's data and analytics into AI applications.

  • Project
    microsoft/mcp

    A collection of Model Context Protocol (MCP) servers and core tooling that standardizes how AI agents and LLMs connect to Microsoft services and external data sources.

  • Project
    hkr04/cpp-mcp

    A C++ implementation of the Model Context Protocol (MCP) that allows AI models and agents to interact with tools, resources, and services through a standardized interface.

  • Project
    github/github-mcp-server

    A Model Context Protocol (MCP) server that connects AI agents to GitHub, enabling them to read code, manage issues, and automate workflows via natural language.

  • Dispatch
    Anthropic Model Context Protocol (MCP) Release

    Anthropic has open-sourced the Model Context Protocol (MCP), a universal standard for connecting AI assistants to data sources like content repositories, business tools, and development environments to eliminate fragmented integrations.