Individual skill
mcp-developer
Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/HTTP/SSE transport layers, validate schemas with Zod or Pydantic, debug protocol compliance issues, or scaffold complete MCP server/client projects using TypeScript or Python SDKs.
skills/mcp-developer/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 12,286
- Repository last updated
- Oct 30, 2026
- License
- MIT
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SKILL.mdcore · 5,900 bytesSKILL.mdcore · 5,900 bytesreferences/protocol.mddoc · 5,055 bytesreferences/python-sdk.mddoc · 9,832 bytesreferences/resources.mddoc · 12,214 bytesreferences/tools.mddoc · 10,417 bytesreferences/typescript-sdk.mddoc · 8,009 bytes
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# 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