Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
tutorial for mcp server development
Bot to Spam messages on YouTube Live Stream Chat with an integrated MCP Server and a Realtime Dashboard
Build lightweight MCP servers in plain Java with annotations, generated schemas, and no Spring runtime
arifOS evaluates identity, evidence, authority, risk, and reversibility before an AI agent may execute a consequential action.
Azure API Management acts as the AI Gateway for MCP servers.
MCP Server Unified Deployment Open Source Project
This repository contains examples of reusable "skills" for working with Azure DevOps from AI coding assistants (for example, GitHub Copilot in VS Code).
is a semantic testing framework for .NET — write AI tests in , run them with .
This project demonstrates the implementation of Model Context Protocol (MCP) for both local and remote server configurations using stdio and HTTP protocols.
A VS Code extension with an integrated MCP server that allows MCP clients like Claude to interact with Visual Studio Code.
Automated AI code reviews powered by Claude Code. Assign a reviewer on your merge request — Claude reviews the code, tracks progress in real time, and follows up when you push fixes.
CLI tool to scaffold ERC-8004 compliant AI agents with A2A, MCP, and x402 payment support.
Agent Skills
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
A curated collection of official and community-built Claude Skills.
"Vibe-Trading: Your Personal Trading Agent"
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Agent Skill for Git workflow best practices - branching, commits, PR workflows | Claude Code compatible
Agent Skill: Check academic paper citations for format, queryability, thematic relevance, and semantic accuracy.
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
Reusable Codex + Claude Code skill and plugin implementing Anthropic's AI-Native SDLC: Plan → Design → Build → Test → Deploy → Maintain, with human approval gates at every handoff.
Elevate your AI research writing, no more tedious polishing ✨
A Hierarchical AI Agent Skill Set for managing AOSP platform integration, built on an MMU-driven Memory Model.
動画から （動画+音声生成モデル）用 / （Lightricksの動画+音声同時生成モデル）用プロンプトを生成するツールと、そのためのプロンプトガイドのコレクション。