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MCP Servers

This repository contains a basic example of how to build an AI agent using the Model Context Protocol (MCP) with an open LLM (Meta Llama 3), OpenAI or Google Gemini, and a SQLite database.

🚀MCP server for accessing RedNote(XiaoHongShu, xhs).

Stardust is a desktop AI agent platform that combines a powerful chat interface with an extensible plugin system.

Query and Summarize your chat messages.

A Model Context Protocol (MCP) tool that retrieves relevant information about Godot game engine from a local ChromaDB database.

It features a simple and easy-to-use API, allowing you to communicate without worrying about MC protocol details. It runs on various platforms, including Linux, Windows, and macOS.

A comprehensive Model Context Protocol (MCP) server for Android Debug Bridge (ADB) operations, providing complete Android device management capabilities.

A comprehensive Model Context Protocol (MCP) server for seamless integration with EspoCRM. This server enables AI assistants to interact with your EspoCRM instance through a standardized interface,...

* streamlit_app.py - Main web interface with beautiful UI * streamlit_app_backup.py - Backup version for safety

Sample MCP Server and MCP client using Aspire.

MCPKit is a blueprint for building authenticated Model Context Protocol (MCP) servers that let you bring proprietary data, content, and systems into ChatGPT, via ChatGPT Dev Mode.

A remote Cloudflare MCP server boilerplate with user authentication and Stripe for paid tools.
Agent Skills

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 map is not the territory. Your prompt is a map; the codebase and the real world are the territory.

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.

Local-first harness for agent-built codebases. Humans steer, agents execute, maestro is the substrate.

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.

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。

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.

LeetCode Helper is a Codex skill for solving LeetCode-style coding interview problems with optimized solutions and detailed explanations.

Deploy any Agent as an API via POST /run . The open, multi-model runtime for AI agents — works with any LLM, on any infrastructure.

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...

Community-driven agent skills for AI coding assistants

The #1 Terraform skill for Claude Code and Codex, measured by GitHub stars.