Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
A Model Context Protocol (MCP) server that provides seamless integration with Neovim instances, enabling AI assistants to interact with your editor through connections and access diagnostic...
A Model Context Protocol (MCP) server that provides intelligent summarization capabilities for various types of content using Google's Gemini 1.5 Pro model.
One AI agent is an assistant. Ten agents working together are a company. TeamMCP is the infrastructure that makes multi-agent collaboration work — real-time messaging, task management, org structure,...
A Model Context Protocol (MCP) server that provides access to WolframAlpha's LLM API. https://products.wolframalpha.com/llm-api/documentation
is now fully supported and can be used directly from GASADK (Google Apps Script Agent Development Kit).
A demonstration project showcasing Model Context Protocol (MCP) implementations using FastMCP, with examples of stdio and HTTP transports, integration with LangChain and Agent Framework, and...
MCP Server for Dropbox
A single-container appliance for trying out the Ignite UI AI toolchain with (an open-source AI coding agent).
A Model Context Protocol (MCP) connector for Google Sheets that allows AI agents to interact with spreadsheets directly.
A self-hosted web application for managing AI skills, workflows, and contexts with full MCP (Model Context Protocol) integration.
MCP桥接浏览器插件，让网页端的AI具备调用MCP工具的能力
This Model Context Protocol (MCP) server provides a secure and reliable interface for AI agents to interact with the local filesystem.
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!