Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
This project shows how to implement an MCP (Model Context Protocol) server of Apache ECharts.
Agentic RAG with MCP Server
This project is a Model Context Protocol (MCP) server for KiCad. As MCP server that utilizes KiCad's official IPC-API, it provides the most stable and reliable way for AI models like Claude to...
is a minimalist implementation of agents powered by LLMs and Model Context Protocol (MCP) tools.
Ratevert MCP is a public, read-only Model Context Protocol server for searching and converting currencies, stocks, crypto, ETFs, and funds.
A GitHub CLI extension that seamlessly runs the github-mcp-server as a bundled binary using your existing gh authentication.
An MCP server for OSV
A testing suite and reference implementation for the Model Context Protocol (MCP).
Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers.
We build reliable servers thoughtfully designed for MCP Client-powered workflows.
AutoTeam is a platform-agnostic orchestration system that connects AI agents with any service through MCP servers.
Not a scanner — a collaborative workbench. Agents struggle with UI and stateful APIs; you're good at both.
Agent Skills
The main repository for libraries used to build applications on the Atsign Platform. Three categories: SDKs, libraries, and Flutter widgets.
is an API-first Ruby web framework that combines the developer experience of Rails with fiber-based concurrency.
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。
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upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
A collection of Pi Coding Agent customized instances. Why? To showcase what it looks like to hedge against the leader in the agentic coding market, Claude Code.
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SkillsBench evaluates how well skills work and how effective agents are at using them.
Website • Getting Started • Documentation • Community
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
An interactive five-chapter night walk through a Kyoto mountain temple, rendered live in Three.js.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.