Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
A powerful integration for Azure DevOps that provides seamless access to work items, repositories, projects, boards, and sprints through the Model Context Protocol (MCP) server.
Model Context Protocol (MCP) server for HOPX. Enables AI assistants to execute code in isolated cloud containers.
Academic paper search, intelligent curation, and multi-platform delivery — built on the Model Context Protocol.
A that exposes FlowLite workflow automation as structured, auditable AI tools with built-in compliance gates and non-repudiable audit trails.
A Model Context Protocol (MCP) server that enables interaction with the open World Bank data API. This server allows AI assistants to list indicators and analyse those indicators for the countries...
https://github.com/user-attachments/assets/46c8140e-377d-4618-a304-03861cb3d7d9
Claude AI transformado em estação meteorológica profissional usando princípios SOLID
A lightweight Model Context Protocol (MCP) server that maps icon-focused keywords directly to Remix Icon metadata.
As long as Claude Desktop does not support connecting to remote servers, you can use this script to run a bridge from stdio to HTTP SSE (Server-Sent Events) endpoint.
A high-performance, persistent memory system for the Model Context Protocol (MCP) powered by libSQL with optimized text search for LLM context efficiency.
A production-ready server that exposes Databricks REST capabilities to MCP-compatible agents and tooling.
MCP Advisor is a discovery and recommendation service that helps AI assistants explore Model Context Protocol (MCP) servers using natural language queries.
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!