MCP (Model Context Protocol)
Basic Information
- Developer: Anthropic (now donated to the Agentic AI Foundation under the Linux Foundation)
- Country/Region: United States
- Official Website: https://modelcontextprotocol.io
- GitHub: https://github.com/modelcontextprotocol
- Type: Open Protocol Standard / AI Integration Protocol
- First Release: November 2024
- License: Open Source (MIT)
Product Description
Model Context Protocol (MCP) is an open standard protocol launched by Anthropic in November 2024, designed to standardize the integration of AI systems (such as large language models) with external tools, data sources, and systems. MCP provides a universal, secure, bidirectional communication protocol, allowing developers to build "MCP servers" to expose tools and data, and "MCP clients" (such as AI agents or IDEs) to consume these services. In December 2025, Anthropic donated MCP to the Agentic AI Foundation (AAIF), which was jointly founded by Anthropic, Block, and OpenAI, and is hosted under the Linux Foundation.
Core Features/Characteristics
- Unified Protocol Standard: Replaces fragmented integration solutions with a single protocol to connect AI with external systems
- Bidirectional Communication: Supports secure bidirectional data exchange between AI systems and tools
- Rich SDK Support: Provides official SDKs for mainstream programming languages such as TypeScript, Python, and Java, with monthly downloads exceeding 97 million
- Vast Server Ecosystem: The community has built thousands of MCP servers, covering common services like GitHub, Slack, databases, etc.
- Tool Search and Programmatic Calling: Supports Tool Search and Programmatic Tool Calling, optimizing large-scale MCP deployments
- Security Mechanisms: Built-in permission control and access verification to ensure data security
- Remote MCP Support: Supports centrally hosted remote MCP servers, eliminating the need for local manual configuration
Technical Architecture
- Client-Server Model: MCP Host (e.g., Claude Desktop) connects to MCP Server via MCP Client
- Transport Layer: Supports stdio (local) and HTTP+SSE (remote) transport methods
- Protocol Specification: The latest specification version is 2025-11-25
- Three-Layer Architecture: Tools, Resources, Prompts
Business Model
- Completely Open Source and Free: The MCP protocol itself is fully open source and free for anyone to use
- Ecosystem-Driven: Promotes the development of the AI application ecosystem through protocol standardization
- Foundation Governance: Neutrally governed by the Agentic AI Foundation
Target Users
- AI application developers
- Enterprise AI integration engineers
- Tool and platform providers
- Open-source community contributors
Competitive Advantages
- Initiated by Anthropic and adopted by giants like OpenAI and Google DeepMind, it has become the de facto industry standard
- Boasts a vast community ecosystem with thousands of ready-to-use MCP servers
- SDKs cover all mainstream programming languages
- Neutral foundation governance model enhances industry trust
Market Performance
- Widely regarded as the USB interface standard for AI tool integration
- Claude has over 75 official connectors based on MCP
- Major AI platforms (OpenAI, Google, etc.) have adopted it
- Extremely high community activity, with GitHub Stars continuously growing
Relationship with the OpenClaw Ecosystem
MCP is the core integration protocol of the OpenClaw platform. OpenClaw connects various external tools and data sources through the MCP protocol, enabling personal AI agents to access services like GitHub, Slack, databases, and file systems. The standardized design of MCP allows OpenClaw to easily extend new tool integrations without developing adapters for each service individually. MCP is the infrastructure that enables OpenClaw to achieve "everything-connected" AI agent capabilities.