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

•

Desarrollo de API

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

Acerca de

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.

Características Principales

Full support for MCP specification 2025-11-25 including Tasks and Sampling
Optimized token usage strategies via Tool Search and code execution patterns
Comprehensive guidance on tool annotations for optimal client UI behavior
Expert implementation patterns for Streamable HTTP and stdio transports
1 GitHub stars
Server-side LLM orchestration and agentic workflow implementation

Casos de Uso

Building high-performance remote MCP servers with Streamable HTTP endpoints
Implementing long-running operations with status tracking using the Tasks primitive
Migrating legacy SSE-based MCP servers to the latest 2025 protocol standards

Acerca de

Características Principales

Full support for MCP specification 2025-11-25 including Tasks and Sampling
Optimized token usage strategies via Tool Search and code execution patterns
Comprehensive guidance on tool annotations for optimal client UI behavior
Expert implementation patterns for Streamable HTTP and stdio transports
1 GitHub stars
Server-side LLM orchestration and agentic workflow implementation

Casos de Uso

Building high-performance remote MCP servers with Streamable HTTP endpoints
Implementing long-running operations with status tracking using the Tasks primitive
Migrating legacy SSE-based MCP servers to the latest 2025 protocol standards