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mcp-server-dev

Build MCP servers connecting AI assistants to tools, resources, and data sources.

Updated Aug 23, 2026
Search Tags:#MCP#SDK#resources#server#prompts#tools
One-click install
npx skills add https://github.com/Naw3/skillsrepo --skill mcp-server-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-server-dev
Source: https://github.com/Naw3/skillsrepo/tree/main/mcp-server-dev
Command: npx skills add https://github.com/Naw3/skillsrepo --skill mcp-server-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides proven patterns and practical guidance to design and implement MCP servers that connect AI assistants to tools, resources, and prompts, enabling scalable extension of AI capabilities.

Core Features & Use Cases

  • Server scaffolding: Reusable patterns for a robust MCP server structure, including tool, resource, and prompt handlers.
  • Transport and integration: Examples for stdio and SSE transports, plus error handling and progress notifications.
  • Extensibility: Clear guidance for adding tools, resources, prompts, and dynamic templates to adapt to new capabilities.

Quick Start

Set up a new MCP server project, install @modelcontextprotocol/sdk, and run the server to begin handling tools, resources, and prompts.

Frequently Asked Questions about mcp-server-dev

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

FAQPage Schema
How do I build an MCP server to connect AI assistants to custom tools?▼

Build an MCP server by applying reusable TypeScript patterns for tool registration, resource access, and prompt handling. This Skill provides structured server scaffolding to connect AI assistants to external data sources and capabilities.

What is the best way to structure an MCP server for scalable AI capabilities?▼

The best way to structure an MCP server for scalability is using reusable patterns for tool, resource, and prompt handlers. This approach enforces structured server configuration and best practices to extend AI capabilities dynamically.

Can I use stdio and SSE transports when building an MCP server?▼

Yes, you can use both stdio and SSE transports when building an MCP server. This Skill provides integration examples for both transport types, including error handling and progress notifications for local or streaming environments.

How do I add dynamic templates and new resources to an MCP server?▼

Add dynamic templates and new resources to an MCP server by following clear extensibility guidance. This Skill provides structured patterns to easily adapt your server configuration to new tools, resources, and prompts.

Do I need the @modelcontextprotocol/sdk to start an MCP server project?▼

Yes, you need the @modelcontextprotocol/sdk to start an MCP server project. The quick start process involves setting up a project, installing the SDK, and running the server to begin handling tools, resources, and prompts.

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