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MCP Servers
A lightweight Model Context Protocol (MCP) server that provides through just 3 tools. Compatible with .
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
Django MCP Server is a Django extensions to easily enable AI Agents to interact with Django Apps through the Model Context Protocol it works equally well on WSGI and ASGI
This MCP Server is now deprecated and is no longer being maintained. I recommend you use the official Linear remote MCP server here: https://linear.app/changelog/2025-05-01-mcp (https://mcp.linear.
Model Context Protocol (MCP) Server for Graphlit Platform
基于 MaaFramework 的 MCP 服务器 为 AI 助手提供 Android 设备和 Windows 桌面自动化能力
Built with Telethon, this server allows AI agents to interact with Telegram, enabling features like sending/editing/deleting messages, searching chats, managing drafts, downloading media, and more...
Turn natural language into powerful Perfetto trace analysis
Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in natural language on ANY...
mcp-servers-for-revit enables AI clients like Claude, Cline, and other MCP-compatible tools to read, create, modify, and delete elements in Revit projects.
MCP Dev LATAM 🌎 Every commerce API your AI agent needs to run a business in Latin America. Brazil 🇧🇷 · Mexico 🇲🇽 · Argentina 🇦🇷 · Colombia 🇨🇴 · Chile 🇨🇱 · Peru 🇵🇪 · plus 4 agentic...
Semantic Code Retrieval for AI Agents — Hybrid Search • Graph Expansion • Token-Aware Packing
Agent Skills
Compatible with 13,000+ OpenClaw community skills — the largest AI agent skill ecosystem. One command to search and install.
Main Agent spawns Subagents like a hen with her chicks 🐔🪺🐦
An EasyEDA Pro API skill package for AI coding tools such as Claude Code, OpenCode, QwenCode, and any other tool that supports the Agent Skills standard.
The open-source desktop AI agent that gets work done — an agent that plans and self-corrects, agentic visual workflows, generative UI, and 100+ offline tools in a single self-hostable stack.
agnix Lint agent configurations before they break your workflow
Together they produce a structured Markdown test plan and a findings report with 10-state verdicts and an explicit SUT / harness / checker / environment blame classification.
A multi-agent marathon simulation built with Google ADK and Gemini. AI agents plan a marathon route through Las Vegas, simulate the environment around it (weather, traffic, crowds), and run the race...
一句话：输入一个基金代码，Agent 把基金经理 8 年的每一笔买卖翻出来，拿 12 个月后的真实走势逐笔验对错，最后吐出一份 700KB 的单文件交互报告——K 线战役回放、买卖点验尸、独立性审判、造神检测，全都有。
Local-first harness for agent-built codebases. Humans steer, agents execute, maestro is the substrate.
ProductSpec is the open standard for product intent. It acts as a Product Harness for AI-native software work: what to build, what not to build, how to prove completion, and when intent changes.
AI coding agents are great at Python. They hallucinate in Spring Boot.
- Manage Claude Code, OpenAI Codex, Google Gemini, OpenCode, and custom AI agents from one powerful command-line interface.