Collection of purpose-built MCP servers for AI agent workflows.
<div align="center"> <img src="./terminal-top-panel.svg" alt="Terminal Top Panel" width="100%" /> </div> <br> ## Overview This repository contains a collection of purpose-built [Model Context Protocol](https://modelcontextprotocol.io/) servers, each designed around a specific capability: web scraping and structured data extraction, codebase navigation and analysis, LLM-powered text generation, and JSON querying. Every server exposes its functionality as MCP tools and resources, making them composable building blocks for AI agent workflows. The servers span two language ecosystems — TypeScript for the Firecrawl integration and DeepSeek/JSON servers, Python for the codebase analysis server — and follow the MCP SDK conventions for tool definitions, resource URIs, and transport configuration (stdio and HTTP). <br> ## Technology Stack <table> <tr> <td><strong>Languages</strong></td> <td><img src="https://img.shields.io/badge/TypeScript-3178C6?style=flat-square&logo=typescript&logoColor=white" alt="TypeScript" /> <img src="https://img.shields.io/badge/Python-3776AB?style=flat-square&logo=python&logoColor=white" alt="Python" /> <img src="https://img.shields.io/badge/JavaScript-F7DF1E?style=flat-square&logo=javascript&logoColor=black" alt="JavaScript" /></td> </tr> <tr> <td><strong>MCP Framework</strong></td> <td><img src="https://img.shields.io/badge/MCP_SDK-000000?style=flat-square&logoColor=white" alt="MCP SDK" /> <img src="https://img.shields.io/badge/FastMCP-000000?style=flat-square&logoColor=white" alt="FastMCP" /></td> </tr> <tr> <td><strong>Web Scraping</strong></td> <td><img src="https://img.shields.io/badge/Firecrawl-FF6B35?style=flat-square&logoColor=white" alt="Firecrawl" /> <img src="https://img.shields.io/badge/LLM_Extract-8B5CF6?style=flat-square&logoColor=white" alt="LLM Extract" /></td> </tr> <tr> <td><strong>AI Integration</strong></td> <td><img src="https://img.shields.io/badge/DeepSeek_R1-0066FF?style=flat-square&logoColor=white" alt="DeepSeek R
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型