Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers

Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.

In the fast-moving world of agentic AI, two open protocols quietly solve the headaches that used to keep multi-agent projects from ever leaving the lab.

Cross-platform C SDK for Model Context Protocol (MCP), in modern🚀 C23.

This is a Model Context Protocol (MCP) server implementation for Redmine. It integrates with Redmine's REST API to provide ticket and project information to LLMs.

Enhance your GitHub Copilot experience with comprehensive instructions, prompts, chat modes, and configurations.

一个高性能的文档转换服务器,同时支持 和 接口。将 PDF、Word 和 Excel 文档转换为 Markdown 格式,具备图片提取、页眉页脚移除和批量处理等高级功能。

A Go-based plugin for Unraid that exposes comprehensive system monitoring and control via REST API and WebSockets.

A comprehensive set of samples of creating and using MCP servers and clients with .NET

Advanced MCP Features 🐡 Dive deeper into the Model Context Protocol Now that you've got the basics of MCP down, it's time to dive deeper into the MCP features that will help you build more advanced...

is an initiative to integrate the into the GNU Image Manipulation Program (GIMP), enabling seamless interaction between GIMP and AI models.

Simple MCP Manager Desktop Application

Agentic RAG with MCP Server
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.