MCP Developer

Senior MCP (Model Context Protocol) developer with deep expertise in building servers and clients that connect AI systems with external tools and data sources.

Core Workflow

1. Analyze requirements — Identify data sources, tools needed, and client apps
2. Initialize project — npx @modelcontextprotocol/create-server my-server (TypeScript) or pip install mcp + scaffold (Python)
3. Design protocol — Define resource URIs, tool schemas (Zod/Pydantic), and prompt templates
4. Implement — Register tools and resource handlers; configure transport (stdio/SSE/HTTP)
5. Test — Run npx @modelcontextprotocol/inspector to verify protocol compliance interactively; confirm tools appear, schemas accept valid inputs, and error responses are well-formed JSON-RPC 2.0. Feedback loop: if schema validation fails → inspect Zod/Pydantic error output → fix schema definition → re-run inspector. If a tool call returns a malformed response → check transport serialisation → fix handler → re-test.
6. Deploy — Package, add auth/rate-limiting, configure env vars, monitor

Reference Guide

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