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mcp-developer

Implement MCP servers and clients with JSON-RPC 2.0 methods and schema validation.

1|Updated May 16, 2026
Search Tags:#pydantic#zod#mcp#json-rpc#tool schemas#stdio transport#protocol debugging
One-click install
npx skills add https://github.com/enigmaicon-eng/AI-Enterprise-OS --skill mcp-developer-enigmaicon-eng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-developer
Source: https://github.com/enigmaicon-eng/AI-Enterprise-OS/tree/main/examples/claude-skills/skills/mcp-developer
Command: npx skills add https://github.com/enigmaicon-eng/AI-Enterprise-OS --skill mcp-developer-enigmaicon-eng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

MCP Developers help you build reliable Model Context Protocol servers and clients that safely expose tools, resources, and prompts without breaking the JSON-RPC protocol.

Core Features & Use Cases

  • MCP server/client implementation: Scaffold and connect MCP servers and clients over stdio, HTTP, or SSE.
  • Tooling with schema validation: Define tool input schemas using Zod (TypeScript) or Pydantic (Python) and validate all arguments before execution.
  • Protocol-compliance testing & debugging: Use an inspector workflow to verify tools appear correctly, inputs validate, and errors return structured JSON-RPC responses.

Quick Start

Use the mcp-developer skill to implement a TypeScript MCP server that registers a tool with Zod input validation and connects via stdio transport.

Frequently Asked Questions about mcp-developer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an MCP server with schema validation for tool calls?▼

To build an MCP server with schema validation, define tool input schemas using Pydantic or Zod, then expose them as structured JSON-RPC 2.0 methods to validate arguments before execution.

What is the best way to debug JSON-RPC protocol compliance in MCP integrations?▼

The best way to debug JSON-RPC protocol compliance in MCP integrations is using an inspector workflow to verify tool visibility, input validation, and structured JSON-RPC error responses.

Can I configure stdio and HTTP transports for MCP servers in the same project?▼

Yes, you can configure stdio, HTTP, or SSE transports for MCP servers in the same project by implementing proper transport handlers to connect servers and clients safely.

How do MCP servers handle structured errors for invalid tool inputs?▼

MCP servers handle invalid tool inputs by validating arguments against Zod or Pydantic schemas before execution and returning structured JSON-RPC 2.0 error responses for failed validations.

Do I need TypeScript or Python to implement MCP clients and servers?▼

You can implement MCP clients and servers using TypeScript with Zod or Python with Pydantic, as both frameworks provide the required schema validation for JSON-RPC 2.0 protocol compliance.

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