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
An MCP (Model Context Protocol) server that gives AI agents full access to the Harness.io platform through 11 consolidated tools and 215 resource types.
This repository is deprecated. The CircleCI MCP server is now built into the CircleCI CLI. Visit to get started.
This repository contains . Each folder represents a different MCP server implementation.
The MCP (Model Context Protocol) Server Plugin for Jenkins implements the server-side component of the Model Context Protocol.
A Model Context Protocol (MCP) server that provides seamless integration with OpenProject API v3. This server enables LLM applications to interact with OpenProject for project management, work...
A Model Context Protocol (MCP) server that enables AI assistants like Claude to search for jobs across multiple job listing platforms using the JobSpy tool.
A production-ready Model Context Protocol (MCP) server that provides seamless integration with the ScrapeGraph AI API.
This open-source Model Context Protocol (MCP) server runs Alchemy's blockchain APIs locally via STDIO.
Connect your AI agents, MCP clients (, , , ...) and other AI assistants to Keboola. Expose data, transformations, SQL queries, and job triggers—no glue code required.
The Heroku Platform MCP Server works on Common Runtime, Cedar Private and Shield Spaces, and Fir Private Spaces.
Build AI voice assistants and phone agents with Vapi using the Model Context Protocol.
A powerful Model Context Protocol (MCP) server that provides seamless IMAP email integration with secure account management and connection pooling.
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!