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Model Context Protocol (MCP)

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications — a standardized way to connect AI models to different data sources and tools.

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Why MCP?

MCP helps you build agents and complex workflows on top of LLMs. LLMs frequently need to integrate with data and tools, and MCP provides:

  • A growing list of pre-built integrations that your LLM can directly plug into
  • The flexibility to switch between LLM providers and vendors
  • Best practices for securing your data within your infrastructure

General Architecture

At its core, MCP follows a client-server architecture where a host application can connect to multiple servers:

MCP Architecture Diagram
  • MCP Hosts: Programs like Claude Desktop, IDEs, or AI tools that want to access data through MCP
  • MCP Clients: Protocol clients that maintain 1:1 connections with servers
  • MCP Servers: Lightweight programs that each expose specific capabilities through the standardized Model Context Protocol
  • Local Data Sources: Your computer's files, databases, and services that MCP servers can securely access
  • Remote Services: External systems available over the internet (e.g., through APIs) that MCP servers can connect to

Get Started

Choose the path that best fits your needs:

Quick Starts

For Server Developers

Get started building your own server to use in Claude for Desktop and other clients

For Client Developers

Get started building your own client that can integrate with all MCP servers

For Claude Desktop Users

Get started using pre-built servers in Claude for Desktop

Examples

Example Servers

Check out our gallery of official MCP servers and implementations

Example Clients

View the list of clients that support MCP integrations

Explore MCP

Dive deeper into MCP's core concepts and capabilities:

Core Architecture

Understand how MCP connects clients, servers, and LLMs

Resources

Expose data and content from your servers to LLMs

Prompts

Create reusable prompt templates and workflows

Tools

Enable LLMs to perform actions through your server

Support and Feedback

Here's how to get help or provide feedback:

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