Model Context Protocol (MCP)

What is MCP?

Model Context Protocol (MCP) is a new open-source standard developed by Anthropic to connect AI systems with data sources such as content repositories, business tools, and development environments.

The Need for MCP

Despite advances in AI model capabilities, these models remain limited by their isolation from data. MCP addresses this challenge by providing a universal standard that simplifies connecting systems to diverse data sources.

Features of MCP

MCP offers a simplified and secure way to establish two-way connections between data sources and AI systems, enhancing the accuracy and reliability of AI model outputs.

Components of MCP

MCP comprises three main components:

1. Protocol specifications and SDKs.

2. Local MCP server support in Claude Desktop applications.

3. An open-source repository for MCP servers.

MCP Adoption

Companies like Block and Apollo have already adopted MCP, while development tool providers such as Zed, Replit, Codeium, and Sourcegraph are enhancing their platforms with this protocol.

Getting Started with MCP

Anthropic encourages developers to test and build MCP connectors. Current Claude for Work customers can test MCP servers locally and connect them to internal systems and datasets.

The Future of MCP

Anthropic is committed to developing MCP as an open-source project, inviting all stakeholders to contribute to building a future for AI that understands context and integrates with diverse data sources.