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Model Context Protocol (MCP)

The Model Context Protocol (MCP) is an open standard designed to connect AI assistants with data sources like content repositories and business tools. It aims to improve the relevance and quality of AI responses by providing a universal protocol for data access.

Key Benefits:

  • Standardized Connectivity: Replaces custom integrations with a single, scalable protocol.
  • Improved AI Performance: Enables AI to access necessary data for better responses.
  • Open and Collaborative: Encourages community contributions and development.

How MCP Works​

MCP allows developers to create secure, two-way connections between data sources and AI tools. This is achieved through MCP servers (exposing data) and MCP clients (AI applications).

Key Components:

  • Specification and SDKs: Available on GitHub.
  • Local MCP Server Support: Integrated into Claude Desktop apps.
  • Open-Source Servers: Pre-built servers for systems like Google Drive, Slack, and Postgres are available on GitHub.

Getting Started​

  1. Install pre-built MCP servers via the Claude Desktop app.
  2. Build your own MCP server using the quickstart guide.
  3. Contribute to the open-source repositories.

MCP fosters a collaborative environment for building context-aware AI.