mcp-developer
mcp-developer is a specialist skill for constructing Model Context Protocol servers and clients that bridge AI systems with external tools and data. It guides you through project initialization, schema design with Zod or Pydantic, tool and resource implementation, transport configuration (stdio/HTTP/SSE), and protocol validation using the MCP inspector. Use it to scaffold complete implementations in TypeScript or Python, debug JSON-RPC compliance, and deploy production-ready integrations.
mcp-developer helps you build and extend MCP servers and clients that connect AI systems with external tools and data sources.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-05-20
mcp-developer helps you build and extend MCP servers and clients that connect AI systems with external tools and data sources. mcp-developer is a specialist skill for constructing Model Context Protocol servers and clients that bridge AI systems with external tools and data. It guides you through project initialization, schema design with Zod or Pydantic, tool and resource implementation, transport configuration (stdio/HTTP/SSE), and protocol validation using the MCP inspector. Use it to scaffold complete implementations in TypeScript or Python, debug JSON-RPC compliance, and deploy production-ready integrations.
Use it when
- mcp-developer is a specialist skill for constructing Model Context Protocol servers and clients that bridge AI systems with external tools.
- mcp-developer covers MCP client implementation by showing how to establish connections to MCP servers via stdio, HTTP, or SSE transports.
Verify before relying
Read SKILL.md below before installing (6 files). Open directory: indexed for reading, not audited.
Install
Jeffallan/claude-skills/mcp-developer · repository language: Python
Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.
Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How to build an MCP server?
mcp-developer guides you through MCP server construction by walking through project initialization, defining tool schemas with Zod (TypeScript) or Pydantic (Python), implementing handler functions, and configuring your transport layer. Start by scaffolding a project, define your tools with clear input/output schemas, wire handlers to process requests, then test compliance using the MCP inspector before deployment.
What is mcp-developer and what does it do?
mcp-developer is a specialist skill for constructing Model Context Protocol servers and clients that bridge AI systems with external tools and data. It guides you through project initialization, schema design with Zod or Pydantic, tool and resource implementation, transport configuration (stdio/HTTP/SSE), and protocol validation using the MCP inspector.
How do I implement MCP client connections?
mcp-developer covers MCP client implementation by showing how to establish connections to MCP servers via stdio, HTTP, or SSE transports. You'll learn to discover available tools and resources, construct proper JSON-RPC 2.0 requests, handle responses, and integrate them into your AI application workflow.
How can I validate MCP tools with schema definitions?
mcp-developer teaches tool validation by using Zod schemas in TypeScript or Pydantic models in Python. Define your tool's input parameters with type constraints, validation rules, and descriptions, then implement handlers that process validated inputs. The MCP inspector helps verify schema compliance and test tool execution before production deployment.
What transport options does mcp-developer cover?
mcp-developer covers three main transport layers: stdio for local server-client communication, HTTP with Server-Sent Events (SSE) for remote connections, and JSON-RPC 2.0 as the underlying protocol. Each transport has specific configuration patterns; mcp-developer shows how to set up, debug, and validate compliance for each option.
How do I connect external tools and data sources with MCP?
mcp-developer shows how to integrate external tools and data by implementing MCP resources and tools that wrap your data sources. Define resource URIs for data access, create tool handlers that query or manipulate external systems, configure proper error handling, and use the MCP inspector to validate end-to-end integration before connecting to Claude or other AI models.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
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
- Analyze requirements — Identify data sources, tools needed, and client apps
- Initialize project —
npx @modelcontextprotocol/create-server my-server(TypeScript) or `pip install
(truncated - see the full file via the links below)
File tree — 6 files
skills/mcp-developer/SKILL.md
skills/mcp-developer/references/protocol.md
skills/mcp-developer/references/python-sdk.md
skills/mcp-developer/references/resources.md
skills/mcp-developer/references/tools.md
skills/mcp-developer/references/typescript-sdk.md
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