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로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

An interactive CLI for scaffolding ready-to-develop Model Context Protocol servers and clients.

An MCP (Model Context Protocol) server that provides access to Rust documentation from docs.rs. This server allows AI tools to search for documentation, type information, feature flags, version...

Python boilerplate for creating AI agents, MCP servers, API microservices and monolith services. All in one!

bluetooth-mcp-server for Claude AI

The Unofficial and Awesome Home Assistant MCP Server

Community-contributed agents, skills, MCP servers, and playbooks for the CyberAgents Exchange

A Model Context Protocol (MCP) server that enables AI assistants to check email, process messages, and learn user preferences through interaction.

A Fastify plugin that implements the Model Context Protocol (MCP) server using JSON-RPC 2.0. This plugin enables Fastify applications to expose tools, resources, and prompts following the MCP...

This repository contains a directory of all official NetApp MCP servers.

Automated security scanner for Model Context Protocol servers that detects RCE, path traversal, prompt injection, and protocol vulnerabilities.

EasyMCP is usable but in beta. Please report any issues you encounter.

A JSON-native lambda calculus runtime with metacircular evaluation, designed as an MCP (Model Context Protocol) server. Enables language models to evolve tools dynamically through metaprogramming.
Agent Skills

Generate and evaluate agent skills based on traces with agents. Create skills with teacher models (expensive/slow) that student models (cheap/fast) can use to perform harder tasks reliably.

(asm) is a scriptable CLI built for AI agents and automation — install, search, audit, and organize skills across Claude Code, Codex, Cursor, and 16 more tools.

Codex skills for translating market information into testable investment research frameworks.

A collection of Agent skills and Claude Code plugins for HashiCorp products.

An Agent Skill that reviews scientific and engineering manuscripts for writing quality, applying the methodology from Dr. Kristin Sainani's Writing in the Sciences course at Stanford (2012).

The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills.

Experimental skill — will iterate over time. Please send your feedbacks in github issues.

Reusable Agent Skills for single-page SEO auditing. Give it a URL — get a structured HTML report with actionable findings.

The easiest way to evaluate your Agent Skills. Tests that AI agents correctly discover and use your skills.

AI-powered article illustrations with intelligent position detection and cover learning system. Claude Code Skill.

基于 Sorftime MCP 服务和 Claude Skills 的亚马逊分析工具集。

See the Feishu doc version of this intro (with usage-scenario showcases).