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MCP Servers

is a local-first skill management platform that turns operational knowledge into structured, searchable, reusable artifacts.

— 503 multi-tool tasks backed by a local PostgreSQL database, no external APIs required

The GemCP app is a cross-platform desktop application that creates a seamless chat interface for Google's Gemini AI models with extensible capabilities through a Model Context Protocol (MCP)...

MCP Attack Surface Detector - Burp plugin to make manual testing of MCP servers easier in Burp Suite

This repository provides example implementations of MCP (Model Context Protocol) in Python and Typescript, based on the specification: 📄 MCP Streamable HTTP Spec.

A Model Context Protocol (MCP) server that connects your Whoop health data to Claude. Designed to be hosted remotely and used as a custom connector in Claude.ai.

An MCP Evaluation Library

Bu proje, modern yapay zeka uygulamaları için geliştirilmiş, durum bilgisi tutabilen (stateful), güvenli, optimize edilmiş ve ölçeklenebilir bir aracı (gateway) sunucusudur.

Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop.

A Model Context Protocol (MCP) server providing access to the comprehensive OpenNutrition food database with 300,000+ food items, nutritional data, and barcode lookups.

A MCP client for browser-use

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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.