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mcp-developer

Develop MCP servers and clients using TypeScript or Python SDKs.

2|Updated Jun 29, 2026
Search Tags:#typescript#python#mcp#ai integration#protocol development
One-click install
npx skills add https://github.com/Axel-DaMage/opencode-config --skill mcp-developer-axel-damage
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-developer
Source: https://github.com/Axel-DaMage/opencode-config/tree/main/skills/mcp-developer
Command: npx skills add https://github.com/Axel-DaMage/opencode-config --skill mcp-developer-axel-damage

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the complexity of building and managing Model Context Protocol (MCP) servers and clients, enabling users to connect AI systems with external tools and data sources seamlessly.

Core Features & Use Cases

  • MCP Server/Client Development: Offers comprehensive guidelines for implementing MCP server and client projects using TypeScript or Python SDKs.
  • Protocol Configuration: Provides detailed instructions for setting up protocol layers, tool handlers, and resource providers.
  • Debugging and Compliance: Assists in debugging protocol compliance issues and ensures adherence to JSON-RPC 2.0 standards.
  • Use Case: For developers looking to integrate AI systems with external databases, APIs, or other tools, this Skill streamlines the process of creating robust MCP implementations.

Quick Start

Run the 'mcp-developer' skill to initialize a new MCP server project using TypeScript and start implementing tool handlers and resource providers.

Frequently Asked Questions about mcp-developer

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

FAQPage Schema
How do I build a Model Context Protocol server for AI integration?▼

Building a Model Context Protocol server involves configuring protocol layers, implementing tool handlers, and defining resource providers using the TypeScript or Python SDKs. This setup enables your AI system to connect with external tools and data sources seamlessly.

What is the Model Context Protocol and when do I need it?▼

The Model Context Protocol is a standard for connecting AI systems with external databases, APIs, and other tools. You need it when integrating external data sources into your AI applications to ensure standardized, compliant communication.

Can I use Python to develop MCP clients and servers?▼

Yes, you can use Python to develop MCP clients and servers. The guidelines provide comprehensive instructions for implementing projects using both the Python and TypeScript SDKs for AI integration.

How do I debug JSON-RPC 2.0 compliance issues in an MCP implementation?▼

To debug JSON-RPC 2.0 compliance issues in an MCP implementation, you can use provided guidelines to validate your protocol configuration and ensure your tool handlers adhere to the required standards.

Do I need the @modelcontextprotocol/sdk dependency to start MCP development?▼

Yes, the @modelcontextprotocol/sdk dependency is required. It provides the foundational components needed to initialize and manage your Model Context Protocol server and client projects.

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