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mcp-developer

Develop Model Context Protocol servers and clients with TypeScript or Python SDKs.

Updated Jun 16, 2026
Search Tags:#typescript#python#mcp#json-rpc#api-integration#ai-agents
One-click install
npx skills add https://github.com/Design-System-ET/genexus-dev-opencode --skill mcp-developer-design-system-et
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-developer
Source: https://github.com/Design-System-ET/genexus-dev-opencode/tree/main/skills/mcp-developer
Command: npx skills add https://github.com/Design-System-ET/genexus-dev-opencode --skill mcp-developer-design-system-et

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/sdk, zod, mcp, pydantic, and includes references (resource) components.

What problem does it solve?

This Skill streamlines the complex process of developing, testing, and maintaining Model Context Protocol (MCP) servers and clients, ensuring seamless integration between AI agents and external data sources.

Core Features & Use Cases

  • Protocol Implementation: Provides standardized guidance for implementing JSON-RPC 2.0, resource handlers, and tool schemas.
  • Validation & Debugging: Offers workflows for schema validation using Zod or Pydantic and protocol compliance testing via the MCP inspector.
  • Use Case: When building a custom integration to connect an AI agent to a legacy SQL database or a real-time API, use this Skill to scaffold the server, define secure tool schemas, and verify transport layer connectivity.

Quick Start

Use the mcp-developer skill to scaffold a new TypeScript MCP server project and configure the initial tool handlers for my database integration.

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 to connect my AI agent to external APIs?▼

You can validate MCP schemas using Zod for TypeScript or Pydantic for Python implementations, ensuring protocol compliance and structured JSON-RPC 2.0 communication before testing with the MCP inspector.

How do I validate tool schemas and debug MCP protocol compliance?▼

You can validate MCP schemas using Zod for TypeScript or Pydantic for Python implementations, ensuring protocol compliance and structured JSON-RPC 2.0 communication before testing with the MCP inspector.

Can I use Python instead of TypeScript to implement Model Context Protocol clients?▼

Yes, you can implement Model Context Protocol clients and servers using either the Python or TypeScript SDKs, both supporting resource providers, tool handlers, and structured JSON-RPC 2.0 communication layers.

What is the best way to structure JSON-RPC 2.0 communication for AI tools?▼

The best way to structure JSON-RPC 2.0 communication is by using standardized MCP protocol implementations to define resource handlers and tool schemas, ensuring rigorous validation and reliable AI system bridging.

Why do I need schema validation like Zod or Pydantic for MCP integrations?▼

Schema validation via Zod or Pydantic is required for MCP integrations to enforce protocol compliance, ensuring that resource providers and tool handlers exchange structured JSON-RPC 2.0 payloads securely and without runtime errors.

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