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
🎲 prediction markets at your fingertips
MCP Audit scans your AI development tools (Claude Desktop, Cursor, VS Code) and reveals:
LinkedIn prospect intelligence inside Claude — MCP server + 8 skills that research people, companies and comment threads, draft outreach, and learn what gets replies.
Claude が労務の質問に回答する際、**するために、e-Gov法令API・厚労省法令等DB・安全衛生情報センターから原文を取得して裏取りさせます。
mTarsier - The Open Source MCP & Skill Manager for Claude, Cursor, VS Code & any AI client.
A terminal AI agent you can fully undo - every file and shell action is snapshotted and reversible. Model-agnostic (any LLM), and connects to 1000+ app tools and MCP servers.
MCP-сервер для прямой работы с клиентом тестирования без менеджера тестирования
MCP Server for pymupdf4llm, best for export PDF to markdown for LLM.
Unlock the full potential of your reMarkable tablet as a for AI assistants. This MCP server lets Claude, VS Code Copilot, and other AI tools read, search, and traverse your entire reMarkable library...
v3.0.0 — The data plane now drives NotebookLM's (the same one the web app calls) instead of scraping the DOM — (list notebooks ~1 s vs ~30 s, generate a report ~13 s vs minutes), and more correct.
Burp MCP proxy with compression pipeline — reduces 182KB responses to ~4KB
A server using FastMCP framework to generate images based on prompts via a remote Comfy 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.