Cursor 安装指南

常与开发类 MCP Server 搭配使用的 AI 代码编辑器。

9840个结果

MCP Servers

5155 个结果
AA
abap-ai/mcp
开发工具

ABAP MCP - Model Context Protocol - Server SDK

73 085
XX
xeroapi/xero-agent-toolkit
开发工具

A comprehensive collection of examples demonstrating how to build AI agents that integrate with the Xero API using various agentic frameworks and the Xero MCP (Model Context Protocol) Server.

54 085
AS
aws-solutions-library-samples/guidance-for-vibe-coding-with-aws-mcp-servers
开发工具

This Guidance demonstrates how to build AI-powered development workflows using Amazon Bedrock AgentCore and the Model Context Protocol (MCP).

43 085
MM
microsoft/mcp-for-beginners
开发工具

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python.

1.7万 085
MW
mrkrsl/web-search-mcp
开发工具

A simple, locally hosted Web Search MCP server for use with Local LLMs

1003 085
CM
crazyrabbitltc/mcp-code-review-server
开发工具

A custom MCP server that performs code reviews using Repomix and LLMs.

34 085
MA
microsoft/ai-tour-26-zava-diy-dataset-plus-mcp
开发工具

A comprehensive demonstration project featuring a realistic PostgreSQL dataset for , a fictional home improvement retail company, combined with three specialized Model Context Protocol (MCP) servers.

69 085
ME
michael-elkabetz/bgagents
开发工具

The first open-source project that turns the most powerful code agents, such as ANTHROPIC ClaudeCode and OpenAI Codex into Background Agents, accessible via REST API, a user interface, and MCP

46 085
AG
azure/gpt-rag-mcp
开发工具

The GPT-RAG MCP service deploys a Python MCP server built with FastMCP and Starlette. It is consumed by GPT-RAG through the orchestrator mcp strategy and is not tied to an AutoGen-specific runtime.

22 085
TA
tuist/awesome-swift-mcp
开发工具

We have established this repository to serve as a comprehensive directory for resources related to the MCP, including items such as prompts, servers, and innovative ideas, all specifically tailored...

64 085
IM
inkdropapp/mcp-server
数据科学与机器学习

Inkdrop Model Context Protocol Server

57 085
WO
webworn/openfoam-mcp-server
开发工具

🚀 - OpenFOAM Model Context Protocol server with AI-powered educational capabilities including Socratic questioning, context engineering, and systematic error resolution.

111 085

Agent Skills

4685 个结果
MP
mjunaidca/polymarket-skills
开发工具

Composable Agent Skills for Polymarket prediction market trading. Paper-trading-first, security-audited, works with Claude Code, OpenClaw, NanoClaw, Codex, Cursor, and any SKILL.md-compatible agent.

9170
DS
denoland/skills
开发工具

Modern Deno development knowledge for AI coding assistants. These skills teach your AI assistant how to build Deno applications using current best practices.

9670
AU
abullaisi/upwork-skills
开发工具

Community project. Not affiliated with or endorsed by Upwork.

9670
MS
mguozhen/social-bot
浏览器自动化

AI-powered Reddit & X auto-reply bot that finds your customers and joins the conversation.

11070
CL
cosmicstack-labs/lazy-frames
开发工具

Feed a skill URL to your AI agent — it captures, authors a spec, runs the gates, and renders a pixel-perfect MP4.

12070
YA
yizhiyanhua-ai/fireworks-skill-memory
开发工具

Shared memory core, runtime-specific adapters, skill-scoped lessons.

9370
OO
ollygarden/opentelemetry-agent-skills
开发工具

This repository contains reusable agent skills for OpenTelemetry.

9270
CC
cyberj0605/cinematic-video-prompt-engineer-skill
写作

电影感视频提示词工程师:把剧情、小说片段和场景想法,转成可直接用于 AI 视频生成的电影感提示词。

9470
TM
teddashh/multi-ai-chat-desktop
开发工具

Ask one question, then let your logged-in web sessions answer, review, challenge, and refine one another. Multi-AI Chat Desktop is a Tauri 2 workflow hub—not four chat windows placed side by side.

9370
OS
obie/skills
开发工具

Production-ready skills for enhanced Claude Code development workflows.

9570
GG
grp06/goalcraft
代码审查

Goalcraft turns a messy task description into a Codex /goal and activates it.

10370
NC
neo4j-contrib/gds-agent
开发工具

The GDS Agent let LLMs reason and do data science work on your graph data in Neo4j, by using two artifacts:

9670