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Model Context Protocol (MCP) Hub

Welcome to the Model Context Protocol Hub. MCP is an open standard that enables AI agents to securely connect to external tools, data sources, and services. Whether you’re using MCP servers or building your own, this hub will help you get the most out of the protocol.

Core concepts

Understanding MCP’s building blocks is essential for making informed decisions about how to use it effectively.

Tools

Functions that AI agents can call to perform actions

Resources

Data and context that agents can access

Prompts

Pre-built workflows that guide agent behavior

Transports

Sending and receiving data

Tool design

Building effective MCP servers requires thoughtful design. Learn how to create tools that agents can use efficiently.

Less is more

Why tool count matters and how to design focused servers

Dynamic tool discovery

Enable runtime tool registration for more efficient servers

Optimize OpenAPI for MCP

Prepare your API for MCP generation

Building MCP servers

Create and deploy your own MCP servers with comprehensive guides covering protocol implementation, security, and framework-specific patterns.

Secure your MCP server

Implement authentication and authorization for production

Deploy your MCP server

Host and scale your MCP server in production

Distribute your MCP server

Package and share your MCP server with users

Monitor your MCP server

Track performance and usage in production

Use cases

See how companies are using MCP in production and explore practical implementation patterns.

Real-world MCP usage

From Block's internal tooling to Solana blockchain analysis

Account management

Building account operations with MCP

E-commerce

Implementing shopping workflows

Task management

Creating project management tools

Getting started

New to MCP? Start with these resources to understand what it is and how to use it.

What is MCP?

A five-minute introduction to the Model Context Protocol

Quickstart Guide

Install your first MCP server and connect it to an AI agent

MCP for skeptics

A balanced view of MCP's trade-offs and limitations

Last updated on September 16, 2025