Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
An MCP server that converts a layered PSD character into a Spine 4.2 project — skeleton JSON, texture atlas, and atlas page PNG(s) — ready to import into the Spine editor and Unity.
Living Memory Architecture for Autonomous AI Agents — MCP server with typed connections, beliefs, decay, reconsolidation
Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
MCP Server for Ozon marketplace - search products, get details, prices and delivery info
The local-first knowledge layer for AI development.
kali linux mcp,pentest,penetration test
Unified native desktop UI for Claude Code, Gemini CLI, Hermes, Crush, Codex, and Cursor — multi-agent, MCP-native, written in Rust + GPUI.
28 plugins and MCP servers for Claude Code — parallel exploration, iterative refinement, binary reverse engineering, structured decision-making, and more.
Advanced search and retrieval for web crawler data. With , your AI client filters and analyzes web content under your direction or autonomously.
](https://github.com/rust-mcp-stack/rust-mcp-sdk/actions/workflows/ci.yml) ](examples/hello-world-mcp-server-stdio)
188+ local tools for Claude, ChatGPT, Cursor & Grok — Mail, iMessage, Teams, Slack, WhatsApp, OneDrive, Google Drive, Zoom, Outlook, Office. Native macOS, 100% local, no API keys.
Agent Skills
🚀 论文检索、文献综述、写作辅助、查重预检、降AI率、参考文献管理 —— 一个 Skill 全搞定。
A Engenharia Protheus disponibiliza neste repositório um conjunto de skills para desenvolvimento de customizações em ADVPL/TLPP, este repositório será atualizado constantemente buscando sempre a...
provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
AI agents should not give project advice from vibes.
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.
🧠 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.
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.
Chainstack is the leading suite of services connecting developers with Web3 infrastructure
Open the interactive guide to learn more about the Skill
Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/
A collection of agent skills for AI assistants working with Dart and Flutter projects, implemented in the format — an open standard for extending AI agents.