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 single data source or application.
How it works
It establishes a formal specification and protocol schema (defined in TypeScript and available as JSON Schema) that defines how AI models and their contexts are exchanged and managed across different platforms.
Who it’s for
Developers building AI applications, LLM providers, and creators of data sources who want their data to be easily consumable by AI models using a universal standard.
Highlights
- Standardized protocol specification
- Protocol schema available in both TypeScript and JSON Schema for broad compatibility
- Comprehensive official documentation available at modelcontextprotocol.io
Related
- Project
tableau/tableau-mcpA suite of developer primitives using the Model Context Protocol (MCP) to integrate Tableau's data and analytics into AI applications.
- Project
microsoft/mcpA 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-mcpA 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-serverA Model Context Protocol (MCP) server that connects AI agents and assistants to GitHub, enabling them to read code, manage issues, and automate workflows via natural language.
- Dispatch
Anthropic Model Context Protocol (MCP) ReleaseAnthropic 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.