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MCP Servers

Elixir Model Context Protocol (MCP) SDK (hermes-mcp fork)

is a semantic testing framework for .NET — write AI tests in , run them with .

This repo contains MCP tools and sample agents for fetching public information from Data Commons.

The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.

MCP server for LibreNMS management

Paper | Features | Installation | Usage | CLI | Development

A Kubernetes-focused Model Context Protocol (MCP) server built in Go. It exposes Kubernetes operations as MCP tools and supports stdio, sse, and streamable transports.

Canvas MCP Client is an built around an infinite, zoomable, and pannable canvas. It provides a unified interface for interacting with multiple MCP (Model Context Protocol) servers through a flexible,...

基于滴答官方文档生成的日程待办增删改查MCP服务

Autonomous AI orchestration architecture combining with the for hands-free development workflows. This system leverages the Model Context Protocol (MCP) for seamless agent coordination.

This is a Model Context Protocol (MCP) server implementation for Redmine. It integrates with Redmine's REST API to provide ticket and project information to LLMs.

Real Estate AI Agent System is a Python-based solution that leverages AI agents and Bright Data's Model Context Protocol (MCP) server to extract, process, and deliver structured real estate property...
Agent Skills

js-reverse-automation--skill 前端JS逆向全流程自动化Skill

🔱 Vedic Astro Skills v8.0 AI驱动的吠陀占星分析系统 | AI-Powered Vedic Astrology Analysis System

A curated list for awesome cloud native tools, software and tutorials.

Tools for empirical economics research with Claude Code — audit protocols, presentation systems, PDF workflows, and a research GTD harness.

Feed the SKILL a , a , or a — any combination works. It produces a readable, editable, portable DESIGN.md . Only then does it generate the web code.

An orchestration and validation framework enabling AI agents to generate draw.io diagrams, optimized for AWS, Azure & GCP architectures.

A research data processing prototype built on DeepAgents, FastAPI, skill integration, and a React frontend.

是一个独立的“外挂大脑”模块。它赋予 AI 助手深度阅读、解析长文档并生成结构化知识晶体(Markdown + HTML)的能力。

skills for deep search — multi-source search, content extraction, and structured research reports.

Fable 5.1 orchestrates. GPT-5.6 Luna and DeepSeek V4 Flash implement.

Let AI Drive Unity, from Editor to Play Mode.

本科毕业论文skill:会把你的项目的源码、数据库、截图和文献,按学校模板与样文风格,工程化地写成整合成可追溯、可续写、可审查的本科毕业论文