Cursor 安装指南

常与开发类 MCP Server 搭配使用的 AI 代码编辑器。

11039个结果

MCP Servers

5406 个结果
TG
tkmct/godot-doc-mcp
开发工具

Offline Model Context Protocol (MCP) server that serves Godot Engine API documentation from a local doc/ folder.

30 060
EC
emarco177/claude-code-crash-course
开发工具

Welcome to the Claude Code Crash Course! This repository is designed to teach you the fundamentals and advanced concepts of Claude Code, Anthropic's official CLI for AI-powered software development,...

186 060
BV
badlogic/vs-claude
开发工具

A VS Code extension with an integrated MCP server that allows MCP clients like Claude to interact with Visual Studio Code.

42 060
JA
johnson7788/a2aserver
开发工具

📘 中文Readme 由于a2a协议升级,以前的task变成了message,conversation的id从metadata也改成了contextId,所以进行了升级。 推荐最新A2A结合ADK和MCP实现更复杂任务的方法: https://github.com/johnson7788/MultiAgentPPT/tree/main/backend

41 060
AM
azure/mcp
开发工具

Azure 💜 MCP

27 060
JW
jacksalad/wailschat
开发工具

A desktop AI chat application built with Wails v2 (Go backend + Vue 3 frontend) that connects to OpenAI-compatible LLM APIs with MCP tool calling support.

115 060
NS
neopen/story-shot-agent
开发工具

A multi-agent collaborative screenplay storyboarding system that splits scripts in various formats into script units optimized for AI text-to-video generation durations.

138 060
KM
kuanhoong/mcp
开发工具

This project demonstrates the implementation of Model Context Protocol (MCP) for both local and remote server configurations using stdio and HTTP protocols.

12 060
GD
gollem-dev/gollem
开发工具

gollem provides: - to query prompt to Large Language Model (LLM) services - Generate / Stream: Generate text content from prompt (with per-call option overrides) - GenerateEmbedding: Generate...

191 060
EC
eversmile12/create-8004-agent
开发工具

CLI tool to scaffold ERC-8004 compliant AI agents with A2A, MCP, and x402 payment support.

51 060
AA
agentx-ai/yahoo-finance-server
开发工具

📈 - get comprehensive stock market data, news, financials, and more.

51 060
JA
jiaxuanliu-arsko/vaspilot
开发工具

VASPilot is an open-source platform that fully automates VASP workflows via a multi-agent architecture built on the CrewAI framework and a standardized Model Context Protocol (MCP).

112 060

Agent Skills

5633 个结果