Cursor 安装指南

常与开发类 MCP Server 搭配使用的 AI 代码编辑器。

11267个结果

MCP Servers

5434 个结果
KP
kdan-pdf/kdan-pdf-mcp
开发工具

Connect Claude and ChatGPT to KDAN PDF — upload, edit, compress, protect, redact, and compare PDFs in chat.

57 070
AL
andreisirbu91-lab/mcpspend
开发工具

Real-time cost tracking for every MCP tool call across Cursor, Claude Desktop, Windsurf, and VS Code.

100 070
CA
casperjuel/aula-mcp
开发工具

aula-mcp er en server der sidder mellem en MCP-klient (LLM) og Aula — et interface, ikke meget mere. Du vælger selv klient (Claude Code, Claude Desktop, ChatGPT, Cursor, Ollama, LM Studio osv.

40 070
HM
hdresearch/mcp-shell
开发工具

A Node.js implementation of the Model Context Protocol (MCP) that provides secure shell command execution capabilities.

41 070
JM
johnneerdael/multiplatform-cursor-mcp
开发工具

Cursor MCP is a bridge between Claude's desktop application and the Cursor editor, enabling seamless AI-powered automation and multi-instance management.

67 070
T4
tony-42069/solana-mcp
开发工具

A comprehensive Solana MCP (Model Context Protocol) server for analyzing memecoins, tracking trends, and providing AI-powered insights using cultural analysis and on-chain data.

31 070
RN
royerlab/napari-mcp
开发工具

MCP server for remote control of napari viewers via Model Context Protocol (MCP). Perfect for AI-assisted microscopy analysis with Claude Desktop and other LLM applications.

40 070
BL
braincrew-lab/mcp-usecase
开发工具

is a tool that helps you easily and quickly register Anthropic's Model Context Protocol (MCP) in Claude Desktop and Cursor.

185 070
CW
cursortouch/windows-mcp
开发工具

MCP Server for Computer Use in Windows

6301 070
MC
mcherukara/claude-deep-research
开发工具

An MCP (Model Context Protocol) server that enables comprehensive research capabilities for Claude

64 070
YW
yranjan06/webghosting-mcp
浏览器自动化

Intelligent stealth browser MCP server for AI agents with 30 tools, 22 anti fingerprint scripts, and LLM powered extraction.

31 070
TI
tandemai-inc/rdkit-mcp-server
开发工具

RDKit MCP Server is an open-source MCP server that enables language models to interact with RDKit through natural language. The goal is to provide agent-level access to every function in RDKit 2025.

42 070

Agent Skills

5833 个结果