Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
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Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.
A C++ implementation of a Model Context Protocol Server with a pluggable module architecture.
A Model Context Protocol (MCP) server that provides AI-powered search and querying capabilities for the Vercel AI SDK documentation.
A Model Context Protocol server that brings the BMAD Method to AI assistants.
Epicure is a public, anonymous, read-only Model Context Protocol server for computational flavour exploration. It exposes deterministic tools over 1,790 ingredient embeddings learned from a 4.
This repository contains a Model Context Protocol server implementation for Dev.to that allows AI assistants to access and interact with Dev.to content.
This MCP server integrates with Google Tasks to allow listing, reading, searching, creating, updating, and deleting tasks.
A Model Context Protocol server that provides persistent project context management for AI-assisted development - specifically designed to work with Cline VSCode Extenson.
A Model Context Protocol server for querying a hybrid graph and vector database system, combining Neo4j (graph database) and Qdrant (vector database) for powerful semantic and graph-based document...
MCPwner Beware the Badger Model Context Protocol server for autonomous security research
The MCP server is currently available under https://gemini-mcp-server-231532712093.europe-west1.run.app/mcp/. It is deployed to Google Cloud Run and can be authenticated using an AI Studio API key.
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!