What tools can an MCP server expose to AI agents?

An MCP server can expose tools like `get_weather` for current weather or `get_time` for time in a timezone, and developers can replace these with any custom tools.

What are the prerequisites to build an MCP server?

To build an MCP server, you need Node.js 18+ and npm installed, along with an AI agent that supports MCP, such as Claude Code, Cursor, or Codex CLI.

How do you set up the project for an MCP server?

You set up the project by creating a directory, initializing npm, and installing `@modelcontextprotocol/sdk` and `zod`.

How is a new tool defined in an MCP server?

Each tool is defined with a name, a description, an input schema validated with Zod, and a handler function that executes the tool's logic.

How do you connect an MCP server to Claude Code?

To connect to Claude Code, you add server configuration to `~/.claude.json`, specifying the command and absolute path to the server's `dist/server.js` file for stdio transport.

How can an MCP server be deployed remotely?

For remote deployment, an MCP server can use HTTP/SSE transport, listening on a port and handling messages from the transport, then deployed to services like Railway or Render.

What kind of custom tools can be built with MCP?

You can build tools that query databases, read monitoring dashboards, integrate with CI/CD pipelines, or any other tools that solve specific workflow problems.

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