Official Protocol by Anthropic

Model Context Protocol (MCP)

The revolutionary standard that enables AI models to seamlessly connect with external tools, databases, and APIs. Build smarter AI applications with standardized context sharing.

What is Model Context Protocol?

**Model Context Protocol (MCP)** is an open standard developed by Anthropic that defines how AI applications can securely connect to external data sources and tools.

Think of MCP as a universal translator that allows AI models like Claude to:

Access real-time data from databases and APIs
Execute code and interact with development tools
Search through documents and knowledge bases
Integrate with productivity tools and services

Key Benefits

🔧 Standardized Integration

One protocol works across all MCP-compatible tools

🔒 Secure by Design

Built-in permissions and access controls

⚡ Real-time Context

AI gets live data, not just training information

🚀 Developer Friendly

Simple setup with extensive documentation

Popular MCP Use Cases

Database Access

Connect AI models to SQL databases, NoSQL stores, and data warehouses

Examples:

PostgreSQL

MongoDB

Redis

SQLite

Search & Retrieval

Enable AI to search through documents, APIs, and knowledge bases

Examples:

Brave Search

Vector DBs

File Systems

Web Search

Code Execution

Allow AI models to run code, execute scripts, and interact with development environments

Examples:

Python

JavaScript

Shell Commands

Docker

API Integration

Connect to REST APIs, webhooks, and external services

Examples:

GitHub

Slack

AWS Services

Custom APIs