Model Context Protocol is an open protocol that standardizes how LLM applications connect to external data sources, tools, and runtime context. It separates the concern of providing context from the model interaction itself, allowing AI applications to access resources through a common interface. The project includes the specification, documentation, SDKs, maintained servers, and community infrastructure around the protocol. MCP is useful for AI-powered IDEs, chat systems, agent platforms, workflow tools, and custom enterprise assistants. It gives developers a consistent way to expose tools, prompts, resources, and server capabilities to language models. Its broader ecosystem supports many languages, including TypeScript, Python, Java, Kotlin, C#, Go, PHP, Ruby, Rust, and Swift.

Features

  • Standardized LLM context protocol
  • External tool and data integration
  • Client and server architecture
  • Multi-language SDK ecosystem
  • Prompt, resource, and tool exposure
  • Open specification and documentation

Project Samples

Project Activity

See All Activity >

Categories

Agentic AI

License

MIT License

Follow Model Context Protocol (MCP)

Model Context Protocol (MCP) Web Site

Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Try It Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Model Context Protocol (MCP)!

Additional Project Details

Programming Language

TypeScript

Related Categories

TypeScript Agentic AI Tool

Registered

2026-06-04