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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

AI-powered anti-detection browser automation for MCP-compatible AI agents.

An MCP server that queries public SearXNG instances, parsing HTML contents into a JSON result

kali linux mcp,pentest,penetration test

Thunderbird MCP gives an AI agent real control of the Thunderbird already running on your machine — your mail, your folders, your contacts, your calendar, your filters, and your actual settings.

built by an autonomous agent · sibyl labs llc

MCP server for FreeCAD — 32 tools for AI-assisted 3D CAD modeling

furi is an easy to use, CLI & API for MCP management.

Опубликовано на Infostart: https://infostart.ru/1c/tools/2720241/

ChatSpatial replaces ad-hoc LLM code generation with . Instead of generating arbitrary scripts, the LLM selects tools and parameters from a curated registry, making spatial transcriptomics workflows...

Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.

Shared MCP server for the Upvote.club Public API.

A starting point for Claude Code to Codex collaboration
Agent Skills

华创金工形态学Skill

Track your AI coding tool token usage and sync to vibecafe.ai.

— 此 skill 定義了「完成任務後必須詢問下一步」的強制模式,不可跳過、不可例外。

一个真正适合职场人的 PPT Skill。把文档丢给你的 AI Agent,每一页都自带编辑控制台的 PPT Skill——不满意的地方直接在浏览器里改,改完还能一键导出成真实的、可编辑的 PPTX。

A prose-native implementation of Vincent Driessen's git-flow branching model.

Claude Code version of skill-autoimprove — auto-improve any CLAUDE.md using Karpathy autoresearch loop

“他们都叫我小唐人!他们都叫我臭唐氏!说谁是唐氏呢!!!骂谁唐氏!” “关注永雏塔菲喵,关注永雏塔菲谢谢喵!”

🎯 Goal-driven execution helper for long-running tasks and explicit success criteria

"你们搞大模型的就是码奸,你们已经害死前端兄弟了,还要害死后端兄弟……" ——某位对未来充满警惕的工程师

Claude Code skill to extract React components from any production website

Claude Code skill for multi-reviewer peer review of academic papers. Adapted from poldrack/ai-peer-review — uses parallel Claude subagents instead of multiple proprietary LLMs.

这是一套专业的 Claude Skills,帮助开发者**源代码,而不只是"看懂"。基于认知科学研究,融合精细询问法、自我解释测试和应用迁移验证,确保深度学习而非产生流畅幻觉。