---
title: Introduction
description: 'Get started with the Model Context Protocol (MCP)'
---
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
## Get started with MCP
Choose the path that best fits your needs:
The fastest way to see MCP in action—connect example servers to Claude Desktop
Create a simple MCP server in Python to understand the basics
Create a simple MCP server in TypeScript to understand the basics
## Development tools
Essential tools for building and debugging MCP servers:
Learn how to effectively debug MCP servers and integrations
Test and inspect your MCP servers with our interactive debugging tool
## Explore MCP
Dive deeper into MCP's core concepts and capabilities:
Understand how MCP connects clients, servers, and LLMs
Expose data and content from your servers to LLMs
Create reusable prompt templates and workflows
Enable LLMs to perform actions through your server
Let your servers request completions from LLMs
Learn about MCP's communication mechanism
## Contributing
Want to contribute? Check out [@modelcontextprotocol](https://github.com/modelcontextprotocol) on GitHub to join our growing community of developers building with MCP.