Does this skill support the 2025-11-25 specification?

Yes, it is fully optimized for the one-year anniversary release, covering new features like Tasks (SEP-1686) and Sampling (SEP-1577).

Should I use stdio or Streamable HTTP transport?

Use stdio for local CLI-based integrations and Streamable HTTP for remote production deployments, as it offers better session management and serverless compatibility.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables AI models to securely interact with local and remote data, tools, and services through a unified interface.

What are tool annotations?

Annotations are behavioral hints (like readOnlyHint or destructiveHint) that tell the client how to safely display and handle tool execution in the UI.

Can I build MCP servers in both Python and TypeScript?

Absolutely. This skill provides detailed implementation patterns for both the Python FastMCP framework and the official TypeScript SDK.

MCP Development Expert

Name: MCP Development Expert
Author: cameronsjo

bycameronsjo

•

API 개발

Builds and deploys production-ready Model Context Protocol (MCP) servers using the latest protocol standards and implementation patterns.

This skill provides specialized expertise for creating robust Model Context Protocol (MCP) servers following the 2025-11-25 specification. It offers deep technical guidance on implementing core primitives—tools, resources, prompts, and tasks—while ensuring high-performance communication through modern transport mechanisms. Developers can leverage this skill to navigate complex server-side logic, including long-running tasks, agentic sampling loops, and secure authorization flows, making it an essential companion for building scalable AI-integrated tools in both Python and TypeScript.

주요 기능

01Full support for MCP specification 2025-11-25 including Tasks and Sampling

02Optimized token usage strategies via Tool Search and code execution patterns

03Comprehensive guidance on tool annotations for optimal client UI behavior

04Expert implementation patterns for Streamable HTTP and stdio transports

051 GitHub stars

06Server-side LLM orchestration and agentic workflow implementation

사용 사례

01Building high-performance remote MCP servers with Streamable HTTP endpoints

02Implementing long-running operations with status tracking using the Tasks primitive

03Migrating legacy SSE-based MCP servers to the latest 2025 protocol standards

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cameronsjo/claude-marketplace mcp-development

For use in Claude.ai and ChatGPT

Download Skill