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
Persistent memory and codebase intelligence for AI coding agents, indexes symbols, tracks sessions, and exposes structured project knowledge through an MCP server so agents stop re-reading files and...
Control your Apple HomeKit smart home from AI assistants, the terminal, and automation tools.
An MCP server that allows AI assistants to connect with Google Gemini's command-line interface, taking advantage of Gemini's large token capacity to analyze large files and understand codebases.
Telegram channel and group reader MCP Server
MiMo Free API MCP: 基于官网逆向的高性能 OpenAI / HTTP MCP 代理网关。支持搜索、识图、长文本分段及 SQLite 持久化。
AI agents control Figma through code execution.
arcticdb-mcp An MCP server for structured read/write access to ArcticDB. Overview • Demo • Quick Start • Configuration • Tools • Development
Local-first AI canvas and timeline. Any MCP agent. Open-source alternative to Higgsfield.
Self-hosted MCP server for docs, code search, and conversational sources
Protocol for Augmented Memory of Project Artifacts (MCP compatible)
Talk to Claude, Cursor, Windsurf, Cline, or any MCP client in plain English and it sets breakpoints, reads memory, disassembles, traces, dumps PEs, and bypasses anti-debug — live, inside the debugger.
基于 FastMCP 的服务器，通过 miniprogram-automator 自动化微信开发者工具。该服务器提供 MCP 工具，让 AI 助手能够导航、检查和操作小程序页面——类似于 playwright-mcp，但专为微信生态系统定制。
Agent Skills
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
the runtime your coding agents live on
Small, composable skills for coding agents.
Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.
The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents.
Personal dotfiles with modern shell tooling, optimized for Laravel/PHP development. Features fast startup times, smart directory navigation, and modern CLI tools.
Building AI agents, atomically
Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Autonomous research system for measurable, computer-executable research.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...
You don't write AGENTS.md. You train it with gradient descent.