Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
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

A collection of Claude skills I have concocted to optimise my Ops/Product workflows.

Gogh is a source-cited Obsidian operating brain that turns six frontend design skills into one advisable stack for AI coding agents.

A practical coding agent for terminal workflows.

This repository gives you an installable skill for ASD-STE100 writing. Use it to write or rewrite technical text in Simplified Technical English.

PostHog skills (under construction)

Go-based tool for managing Telkomsel accounts via Telegram Bot, Terminal CLI, or MCP Server (for AI agents).

微信同事蒸馏器 — 从微信聊天记录中解密数据、查看消息、蒸馏人物 AI Skill。

AI skills encoding legal project management methodology for Claude. The operational layer nobody else is building.

English • Français • Español • Bahasa Indonesia • 简体中文

🦴 A Claude skill that makes Claude talk like a caveman. Short sentences. No filler. Just answers.

PM scopes features, creates branches, assigns agents. Multiple agents collaborate on each feature. Same workflow for greenfield and iteration.

Skills from ListenHub.ai & ColaOS