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
II
intelligent-internet/zenith
开发工具

Zenith is an agent harness for work that may run for days or weeks, where the dominant failure mode is premature completion rather than inability to make progress.

278 036
HA
hmbown/aleph
开发工具

Aleph is an MCP server and skill for (RLMs). It keeps working state — search indexes, code execution, evidence, recursion — in a Python process outside the prompt window, so the LLM reasons...

211 036
SX
shenjingnan/xiaozhi-client
开发工具

小智AI客户端,目前主要用于MCP的对接

324 036
HX
hl897tech/xhs_content_agent
开发工具

基于 FastAPI + LangChain + OpenAI 构建的小红书内容挖掘与自动生成系统。支持从爬取竞品数据、分析爆款规律、AI 生成文案与配图,到一键发布至小红书的完整闭环。

276 036
GA
getagentseal/agentseal
开发工具

Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply chain attacks, test prompt injection resistance, and audit live MCP servers for tool...

329 036
AD
agentsmithers/dnspy-mcpserver-extension
开发工具

This is a dnSpy MCPServer Extension for the use of automated AI .NET reverse engineering The \dnSpy\Extensions\Examples\AgentSmithers dnSpy MCPServer.

210 036
OP
oleksiijko/pmb
开发工具

Local-first memory, visualized. 3,800+ entities and 41,000+ connections, captured automatically as you work.

312 036
H1
hetpatel-11/adobe_premiere_pro_mcp
开发工具

Control Adobe Premiere Pro through MCP using Codex, Claude Code, Claude Desktop, or any other MCP client.

362 036
KO
king-of-the-grackles/reddit-research-mcp
开发工具

mcp-name: io.github.king-of-the-grackles/reddit-research-mcp

225 036
SM
sidharthrajaram/mcp-sse
开发工具

A working pattern for SSE-based MCP clients and servers

301 036
MR
mcneel/rhinomcp
开发工具

- Getting Started - Install the plugin and wire up an AI assistant (Claude Desktop, Claude Code, GitHub Copilot, OpenAI Codex, Gemini CLI, or a local model).

226 036
C1
cronusl-1141/ai-company
开发工具

⚡ — Cross-session orchestration: wake system v2 (dynamic /loop, event watcher, turn-end guard) + targeted sibling-session driving + agent reuse recommendation + context watermark observability.

320 036

Agent Skills

5833 个结果