github-agent

A repository demonstrating integration with the Model Context Protocol (MCP).

What is the Model Context Protocol (MCP)?

MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems.

Using MCP, AI applications like Claude or ChatGPT can connect to:

• Data sources — local files, databases
• Tools — search engines, calculators
• Workflows — specialized prompts

This enables AI to access key information and perform tasks on your behalf.

Think of MCP like a USB-C port for AI applications — a standardized way to connect AI applications to external systems.

What can MCP enable?

• AI models can create 3D designs on Blender and print them using a 3D printer
• Enterprise chatbots can connect to multiple databases across an organization
• Claude Code can generate entire web apps using Figma designs
• Agents can access your Google Calendar and Notion as a personalized AI assistant

Why does MCP matter?

Audience	Benefit
End-users	More capable AI applications that can access your data and take actions on your behalf
AI applications	Access to an ecosystem of data sources, tools, and apps
Developers	Reduced development time and complexity when building or integrating with AI

Ecosystem support

MCP is supported across a wide range of clients and servers:

• AI assistants: Claude, ChatGPT
• Development tools: Visual Studio Code, Cursor, MCPJam

Learn more

• Official site: modelcontextprotocol.io
• Documentation: modelcontextprotocol.io/llms.txt
• Build servers: Create MCP servers to expose your data and tools
• Build clients: Develop applications that connect to MCP servers
• MCP Apps: Build interactive apps that run inside AI clients