Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

A comprehensive Model Context Protocol (MCP) server that provides analytics capabilities and tools for interacting with Microsoft Fabric data platform.

A powerful Model Context Protocol server for LinkedIn API integration

MCP (Model Context Protocol) server for blockchain data interaction through the Bankless API.

Model Context Protocol Server for the ServiceNow® Platform

Simple MCP server for managing AI prompts and agent configurations with direct claude CLI orchestration.

A Model Context Protocol server for Zotero integration that allows Claude to interact with your Zotero library.

A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API.

This project is a python server that implements the Model Context Protocol (MCP) for Zotero, giving you access to your Zotero library within AI assistants.

A Model Context Protocol server to connect to the MIRO Whiteboard Application.

This repository contains a Model Context Protocol server implementation for Reddit that allows AI assistants to access and interact with Reddit content through PRAW (Python Reddit API Wrapper).

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.

Model Context Protocol server for the book Open and Async — async-first method tools plus the book's outline, taglines, and summaries. Ships the method, never the manuscript.
Agent Skills

以面试官的角度为你讲解C++知识(针对面试高效学习)

🌍 30 AI-powered geoscience skills for Claude Code, Cursor & GitHub Copilot. Seismic, well logs, 3D modelling, inversion, geostatistics, spatial regression, NetCDF, and more.

Enables LLM to use a cli environment.

南鸢·人像角色设定师:把人物气质转成脸部结构、妆容与完整中文提示词

Agent Skills for Linkly AI — search, browse, and read your local documents from any AI coding agent.

Codex skill for e-commerce product visuals from product and reference images

Agent Skills for Parallel — web search, content extraction, deep research, and data enrichment for AI coding agents.

Command-line tool for distributed LLM inference benchmarks on SLURM clusters using TensorRT LLM, SGLang and vLLM.

Agent skills for working with DataHub — plan and review connectors, search the catalog, enrich metadata, trace lineage, manage data quality, and set up connections.

Run, deploy and monitor CLI agents in secure cloud sandboxes.

基于 GJB 438C-2021 [5.10] 标准模板的 SRS 文档自动生成

基于 LangGraph 和 DeepAgents 框架的智能体 Skills 能力演示项目。