Model Context Protocol
A universal standard for AI-human collaboration. Clean, functional, and built for the future.
Core Features
Tools
Standardized tool interfaces for AI systems to interact with external services and data sources.
Resources
Efficient resource management and data access patterns for seamless AI integration.
Prompts
Dynamic prompt templates and context management for enhanced AI interactions.
Technical Specifications
Protocol Foundation
Built on JSON-RPC 2.0 for reliable, standardized communication between AI systems and external services.
Transport Agnostic
Works across multiple transport layers including WebSockets, HTTP, and stdio for maximum flexibility.
Open Standard
Fully open specification with reference implementations in multiple programming languages.
View Full SpecificationArchitecture Layers
- Application: MCP Client/Server
- Protocol: JSON-RPC 2.0
- Transport: WebSocket/HTTP/stdio
Code Examples
Server Implementation
Client Connection
Documentation
Getting Started
Quick start guide to implementing MCP in your application with step-by-step instructions.
Start BuildingSDK Support
Official SDKs available for TypeScript, Python, and Go with comprehensive documentation.
View SDKsCommunity
Join the MCP community for support, examples, and contributions to the protocol.
Join CommunityGet Started with MCP
Choose your platform and start building with the Model Context Protocol today.