Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
Multi-AI MCP Server - Connect ChatGPT, Claude, Gemini & Perplexity to your coding tools without any API
This repo showcases how to build Model Context Protocol (MCP) servers using Azure Cosmos DB. Explore ready-to-run samples in multiple programming languages including TypeScript,GoLang and Java.
The Visual Control Plane for MCP Servers & AI Skills.
Learn how to implement MCP client with SwiftUI and Anthropic API
is a Model Context Protocol (MCP) server that enhances Claude Code with task tracking, syntax validation, long-term memory, and intelligent context management.
The Render MCP Server is a Model Context Protocol (MCP) server that allows you to interact with your Render resources via LLMs.
OWASP MCP Taxonomy
We build reliable servers thoughtfully designed for MCP Client-powered workflows.
This extension integrates Context7 as a Model Context Protocol (MCP) server for Zed's Assistant, providing up-to-date documentation for any prompt.
This project demonstrates how to use Google's Gemini 2.5 Pro with function calling capabilities to interact with the mcp-flight-search tool via Model Context Protocol (MCP).
This repository demonstrates how to secure a Model Context Protocol (MCP) server using OAuth 2.1 authorization flows, implemented entirely with Node.js and Express.js.
mcp tools for your favorite agent - be the best guide you can be
Agent Skills
Agent skills extracted from real work. Each one shipped something first.
Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/
Open the interactive guide to learn more about the Skill
The open agent skills tool - npx skills
A curated list of essential skills, tools, and resources for building and enhancing advanced AI agents.
Keep your skills sharp. Intelligence for agent context.
Chainstack is the leading suite of services connecting developers with Web3 infrastructure
A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.
会话 · 聊天记录 · 搜索 · 联系人 · 群成员 · 群昵称 · 收藏 · 统计 · 导出
🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.
for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.