Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers

ČSFD API in JavaScript. Amazing NPM library for scrapping csfd.cz. Now with MCP server

A local-first AI memory system with hybrid search, MCP integration, and a knowledge graph.

A blazing-fast MCP (Model Context Protocol) server for multi-engine web search, written in Rust.

A catalog of single-file MCP servers for .NET 10

A Model Context Protocol (MCP) server implementation exposes document processing capabilities through natural language, supporting both direct human interaction and AI agent tool calling.

MCP server for searching and reading books from your Calibre ebook library

MCP server for YouTube — search videos, channels, playlists, and transcripts. Works with Claude, Cursor, Windsurf, and any MCP client.

A powerful MCP (Model Context Protocol) service aggregator that combines multiple MCP services into a single unified MCP service with self-configuration capabilities.

CLI and MCP server for Fastmail — email, contacts, masked email, attachments, text extraction. JMAP + CardDAV + GraphQL.

Talk to Claude, ChatGPT, or any LLM in natural language to execute trades, check balances, and stream market data — all routed through MT5.

MCP server for Xcode that wraps its AppleScript interface & uses XCLogParser to return clear build results

OSINT intelligence MCP server for AI agents — 37 tools, 12 sources. Shodan, VirusTotal, Censys, SecurityTrails, DNS reconnaissance, WHOIS, certificate transparency, BGP routing, Wayback Machine,...
Agent Skills

https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5

Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.

Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).

山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作,一站式搞定人物、大纲、场景、剧本全链路

for quasi-experimental designs in Python.