Your complete guide to MCP — the open standard for connecting AI applications to external systems
MCP is a standardized protocol that connects AI applications to any external system — like USB-C for your AI tools.
Expose tools for AI to execute actions, resources for context data, and prompts for interaction templates.
Built as an open-source standard with SDKs for TypeScript, Python, Go, Rust, and more.
Learn how to run MCP servers in Docker containers for isolated, reproducible AI agent environments. Includes Dockerfile examples, compose configs, and Cursor integration.
Learn how to connect Figma to Cursor IDE using the Figma MCP server. Step-by-step setup guide for designers and developers who want AI-powered design-to-code workflows.
A complete guide to MCP server authentication — API keys in env vars, OAuth flows, bearer tokens, and keeping secrets out of your config files.
Connect Slack to Claude or Cursor via MCP. Send messages, read channels, search history — all from AI chat. Step-by-step setup for Mac, Windows & Linux.
Complete guide to connecting MCP servers in Continue.dev — the open-source GitHub Copilot alternative. Works in VS Code and JetBrains. Covers config format, best servers, and troubleshooting.
Step-by-step guide to connecting MCP servers in VS Code using GitHub Copilot's agent mode. Covers configuration, debugging, and the best MCP servers to add in 2026.
The Model Context Protocol (MCP) is an open standard for connecting AI applications like Claude and ChatGPT to external systems such as databases, APIs, and file systems. Think of it as USB-C for AI — a standardized way for AI tools to interact with the outside world.
MCP was created by Anthropic and released as an open-source standard. It includes SDKs for multiple programming languages including TypeScript, Python, Go, and Rust.
With MCP, you can expose tools for AI to execute actions, provide resources for context data, and create prompt templates for interaction patterns. Common use cases include connecting AI to databases, integrating with APIs, accessing file systems, and building custom AI workflows.
Yes, MCP is completely free and open-source. You can use it in personal and commercial projects without any licensing fees.
MCP is supported by Claude (via Claude Desktop), and the ecosystem is growing. Many third-party tools and applications are adding MCP support, making it a versatile standard for AI integration.
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