Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
A Model Context Protocol (MCP) server that allows LLMs to interact with Python environments, read and write files, execute Python code, and manage development workflows.
✨ Want to perform accurate geospatial analysis in your chatbot? ✨ Install GIS-MCP and transform your AI's spatial capabilities!
The eBay MCP server — give Claude, Cursor, and any AI assistant full access to eBay's Sell APIs. 298 tools for inventory, orders, marketing, and analytics, running locally with your own keys.
An MCP server that gives AI assistants full access to Apple Mail -- read, search, compose, organize, and analyze emails via natural language. Built with FastMCP.
Run any AWS Lambda function as a Large Language Model (LLM) without code changes using Anthropic's Model Context Protocol (MCP).
The Wireshark for the Model Context Protocol (MCP)
A Model Context Protocol (MCP) server that provides seamless integration with Instagram's Graph API, enabling AI applications to interact with Instagram Business accounts programmatically.
A Model Context Protocol (MCP) server implementation that integrates with SerpApi for comprehensive search engine results and data extraction.
is an intelligent memory system for AI platforms that automatically knows when to save and retrieve information.
A secure shell command execution server implementing the Model Context Protocol (MCP). This server allows remote execution of whitelisted shell commands with support for stdin input.
The AKS-MCP is a Model Context Protocol (MCP) server that enables AI assistants to interact with Azure Kubernetes Service (AKS) clusters.
— Gmail, Calendar, Drive, Docs, Sheets, Tasks and Meet — from one MCP server, across as many accounts as you have.
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!