Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
🤖 AI-Powered MCP Server for Polymarket - Enable Claude to trade prediction markets with 45 tools, real-time monitoring, and enterprise-grade safety features
Library for connecting AI agents to Todoist. Includes tools that can be integrated into LLMs, enabling them to access and modify a Todoist account on the user's behalf.
Vestige is a local-first memory for AI agents that reaches backward through time to find the quiet change that caused today's failure: the cause that looks nothing like the bug. One 23MB Rust binary.
RenderDoc UI拡張機能として動作するMCPサーバー。AIアシスタントがRenderDocのキャプチャデータにアクセスし、グラフィックスデバッグを支援する。
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
Permanent memory for AI agents. Single binary, zero dependencies, MCP native.
Your agents forget everything between sessions. MemMesh gives them durable, typed, searchable memory that lives on your machine — no vector database, no search cluster, no mandatory LLM calls.
MCP server for Bazi (八字) information
A Binary Ninja plugin containing an MCP server that enables seamless integration with your favorite LLM/MCP client.
Semantic Code Intelligence for AI Coding Agents
Local MCP server for DuckDB and MotherDuck
A fully self-hosted AI agent built on n8n + PostgreSQL + Claude. Talks to you via Telegram or HTTP API (Slack, Teams, custom apps), builds its own MCP tools, manages reminders and memory — all...
Agent Skills
This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.
简单说，就是跟 Claude 说一句话，它会帮我从每天的新论文里筛一轮，挑出值得看的，再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令，基本就是：