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MCP Servers

VideoNote:将视频转成文字或笔记。理解画面/弹幕/评论;支持主流平台;工具解耦;多格式导出。

Free trending topics aggregator — 20 sources, zero auth. CLI + Python library + MCP Server.

这是一个基于大语言模型和MCP(Model-Controller-Plugin)和Rag架构的网络安全智能助手项目。它旨在通过自然语言交互,帮助用户执行渗透测试任务、查询安全信息、分析流量包等。

MCP Server for executing PowerShell scripts

1 MCP to rule all them chains

The best MCP collection

Prompt-based frameworks hope the LLM follows instructions. This one blocks the call if it doesn't.

MCP server for executing shell commands.

AI-powered browser automation for Claude Code by DebugBase

MCP server that lets AI agents drive Inkscape — interactively alongside the GUI or headlessly from the CLI

3 collaboration commands for Claude Code that use the Codex MCP server to generate parallel plans, validate plans, and brainstorm ideas.

mcp-repl is an MCP server that gives an agent a persistent Python or R session, kept alive across tool calls.
Agent Skills

飞书知识库智能管理工具

One-liner: — Claude Science-style research workbench for DSH: ReAct research-loop engine (research_* tools), versioned artifacts with provenance (artifact_* tools), an SSH remote-compute engine...

EOS.Skill矩阵中部分工具拿出来开源

梵想美学

Optimized GitHub skill for coding agents: fewer tool calls, less context burned, lower cost, faster answers. One bounded call each for PR state, review threads, and CI failures.

出行路书工作流 skill:联网实查 + 多源交叉验证,产出可核验、能执行的旅行攻略。覆盖吃住行游拍避全维度,附美食情报卡、基准骨架与校验工具,支持一键部署在线版。

Claude Code Skills for .NET developers.

✅ AI governance skill for Claude Code | AI 治理框架 | AI ガバナンスフレームワーク — Safety gates, evidence rules, anti-slack

A Claude Code plugin containing 22 focused skills for programming, optimizing, evaluating, and deploying LLM applications with DSPy.

This repository is a reference implementation of the stack on Trac Network for an .

Skills, plugins & sub-agents Claude Managed Agents multi-agent + custom Skills + the pre-built docx skill 60 minutes A coordinator agent that fans work out to 3-5 specialist sub-agents, each with its...

Battle-tested execution playbooks that give any AI agent the exact commands, APIs, and patterns it needs — cutting token usage by and making local models as capable as GPT-4.