Build an MCP Server

What you'll be able to do

✓Explain why a tool needs an explicit, served contract instead of being a local function call
✓Distinguish a tool (an action) from a resource (readable context) and refactor a wrongly-modeled one
✓Build MCP tools, a resource, and a parameterized prompt template over a real backend
✓Run the same server over two different transports without changing its tool logic
✓Hand-bridge an MCP client to a real LLM's tool-use loop and complete a multi-turn task end to end
✓Name the LLM / agent runtime / MCP client / MCP server layers in a real tool-use loop and identify the one line that actually executes an action
✓Return a structured, model-usable error instead of letting a bad call crash the server

Expose a real backend's data and actions to any MCP-compatible agent or client, the way a team would actually make its systems reachable by an AI assistant it doesn't control the code of.

⌁ Claude Desktop and Claude Code connect to external tools through MCP as their primary extension mechanism; Anthropic also publishes reference MCP servers for GitHub, the filesystem, and several databases.

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