Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents.
Open security engineering for code written by humans and AI agents. Discover. Repair. Verify.
A lightweight way to use environment variables in your Cursor MCP server definitions.
28 plugins and MCP servers for Claude Code — parallel exploration, iterative refinement, binary reverse engineering, structured decision-making, and more.
Point Claude at any audio file and it can tell you the key, tempo, dynamics, timbre, percussive character, stereo field, structural sections, and how the music evolves over time -- all from raw audio...
MCP server to extract contents from a PDF file
Local-first creative studio with 37 model routes, transparent costs, local archives, and MCP access.
Real reap --agent output, run against a generated sample stack ( hero-fixture.sh ) — not anyone's install. The numbers further down are measured on mine.
Chat with AI, run tasks on autopilot, and manage your projects — all from one tab.
MCP server implementation for using Claude API with Claude Desktop, providing advanced API integration and conversation management.
- — MCP Protocol v2 (spec revision 2026-07-28, streamable HTTP) and experimental StrongDM API support are here — see the release notes.
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.
Agent Skills
Multi-agent team orchestration skill for Claude Code.
An agent-oriented skill for turning an SVG into a hand-drawn animation deliverable.
一个封装了产品经理核心思维的 skill，帮助非产品经理用户写出高质量的产品需求文档（PRD）。 A skill that encodes core product management thinking to help non-PM users write high-quality Product Requirement Documents.
humanize-text-skill is a bilingual writing skill for removing AI-shaped prose and pulling the result toward a target human voice.
Browser automation agents forget everything between runs. Same site, same page structure to figure out, every single time. Wasted time, wasted tokens.
is a production-ready Python package designed for football (soccer) analytics, providing powerful tools from pena.lt/y/blog for data analysis, outcome modelling, and betting insights.
This repository is a generated compatibility mirror. The editable source, Issues, and contributions live in zjp1997720/zhijian-skills.
LLM Wiki 是一种用 LLM 构建个人知识库的方法论。与传统 RAG（每次查询从头检索）不同，LLM 会**，知识随每次导入和查询不断积累，形成复利效应。
🎬 One-stop video content extraction and copywriting analysis tool. Download videos, smart subtitle extraction (embedded/burned/audio), and analyze scripts using three AI frameworks.
Turn any LLM into a deterministic World Cup prediction engine with one prompt.
Agentic skill for AI agents to request and receive payments. If you are looking for the agentic skill to make payments for services and products, checkout https://money.flows.network
A React UI component library inspired by The Legend of Zelda: Breath of the Wild. 83 components with dark theme, Sheikah glow effects, and AI-consumable design specs.