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
MCP server for searching electronic components across JLCPCB, Mouser, and DigiKey directly from Claude, Cursor, and other AI coding assistants. 1.
MCP server + prompt that turns any AI coding agent (Cursor, Claude Code, Cline, Kiro, Windsurf…) into your Digital Twin — generate a project-specific AGENTS.
Join us in accelerating scientific discovery with AI and open-source tools!
MCP server with tools to search, fetch, analyze, and report on scientific papers and datasets.
MCP server for log file analysis. Gives LLMs the ability to efficiently analyze large log files without loading them into context.
This is an official MCP server empowers AI Agents to search, compare, and book . Powered by DIDA (14 years, world's #3 travel distribution platform), this server bridges the gap between AI travel...
Published on Infostart: Code Index — структурный поиск по выгрузке кода 1С через MCP
用于即梦 AI 的模型上下文协议 (MCP) 服务器 - 通过 Claude 和其他 LLM 应用提供强大的图像和视频生成能力
✅ octagon-agent orchestrates broad market intelligence analysis
An MCP server for gitingest. This allows MCP clients like Claude Desktop, Cline, Cursor, etc to quickly extract information about Github repositories including
A Model Context Protocol (MCP) server for Common Lisp, providing JSON-RPC 2.0 over stdio, TCP, and HTTP (Streamable HTTP).
Security-hardened fork of PleasePrompto/notebooklm-mcp • Maintained by Pantheon Security
Agent Skills
Agent Harness完整架构和核心模块开发指导手册 - 参考生产级Agent源码：Claude Code，OpenCode，OpenClaw和Hermess
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
AI agent plugin for Jira — CLI tools for issues, worklogs, sprints, and more | Server/DC & Cloud
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.
🧠 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.
SimReady Foundation is a central repository for defining simulation content specifications based on various runtime use cases.
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