💬 MCP Server for notify to Weixin, Telegram, Bark, Lark, 飞书, 钉钉
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Updated
Dec 19, 2025 - Python
💬 MCP Server for notify to Weixin, Telegram, Bark, Lark, 飞书, 钉钉
🎯 告别信息过载,AI 助你看懂新闻资讯热点,简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台(抖音、知乎、B站、华尔街见闻、财联社等),智能筛选+自动推送+AI对话分析(用自然语言深度挖掘新闻:趋势追踪、情感分析、相似检索等13种工具)。支持企业微信/个人微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 推送,1分钟手机通知,无需编程。支持Docker部署⭐ 让算法为你服务,用AI理解热点
基于 Playwright 和AI过滤的闲鱼多任务实时/定时监控与智能分析工具,配备了功能完善的后台管理界面。帮助用户节省闲鱼商品过滤,能及时找到心仪商品。
One Hub All LLMs For You | 为个人打造的 LLM API 聚合服务
Cross-platform cleaner for orphan opencode processes
AI notepad for meetings
🔍 Optimize and manage prompts, agents, and templates with ContextForge, an AI-powered platform for seamless collaboration and organization.
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
The open source coding agent.
This extension transforms the Gemini CLI into "Pickle Rick," a hyper-intelligent, arrogant, yet extremely competent engineering persona. It enforces a rigid, iterative software development lifecycle through continuous AI agent loops. Emphasizing "God Mode" coding practices and a disdain for
Native OS notifications for OpenCode – know when tasks complete
HTML artifact examples for evaluating design, documentation, and engineering communication effectiveness.
Public landing page for video transcription, AI summary, and mind-map workflow; active source remains private pending sanitized case study.
Diagram as Code Tool Written in Rust with Draggable Editing
支持 AnyRouter、AgentRouter 的多平台多账号签到,理论兼容所有基于 NewAPI、OneAPI 的平台。
MCP Scheduler is a task automation server that lets you schedule shell commands, API calls, AI tasks, and desktop notifications using cron expressions. Built with Model Context Protocol for seamless integration with Claude Desktop and other AI assistants.
Android Automation Tool Based on Vision-Language Models
Comprehensive Claude Code project configuration example with hooks, skills, agents, commands, and GitHub Actions workflows
A model-driven approach to building AI agents in just a few lines of code.
Non‑intrusive enhancements for Coding Agents, applying engineering best practices and a Testing‑Memory‑Documentation (TMD) loop to boost stability and efficiency on complex projects.
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