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Model Context Protocol (MCP) is like USB for AI. Just as USB lets you plug any device into your computer, MCP lets you plug any tool into Claude Code. GitHub, Slack, databases, web search — they all connect through the same standard protocol. One interface, unlimited integrations.
Start with the GitHub MCP server. Add it to your .mcp.json file in your project root. Once configured, Claude can create issues, open pull requests, review code, and manage repositories — all from conversation. Setup takes under two minutes.
The process: create a .mcp.json file, add the server configuration with your GitHub token as an environment variable, and restart Claude Code. That is it. Claude automatically discovers the new tools and starts using them.
The .mcp.json file lives in your project root and tells Claude which MCP servers to connect to. Each entry specifies the server command, arguments, and environment variables. Keep secrets in env vars — never hardcode tokens in this file.
Once connected, just ask naturally: "Create a GitHub issue for this bug", "Query the users table for active accounts", or "Send a Slack message to the team channel." Claude picks the right MCP tool automatically. You talk to one AI, and it talks to all your tools.
The power of MCP is composition. In a single conversation, Claude can find a bug in your code, create a GitHub issue for it, write the fix, open a pull request, and notify your team on Slack. One request, five tools, zero context switching.
MCP servers have real access to real systems. Treat them with the same care as any API integration:
A well-secured MCP setup gives you superpowers without risk. A careless one gives an AI write access to your production database. Take the five minutes to set it up correctly.