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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
面向 NetEase Minecraft / Bedrock 开发场景的通用 MCP Server。
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A command-line interface for MCP servers. curl for MCP.
Local-first AI canvas and timeline. Any MCP agent. Open-source alternative to Higgsfield.
Find and call JustOneAPI endpoints from MCP-compatible AI assistants using natural language.
Self-hosted MCP server for docs, code search, and conversational sources
youtube transcriber mcp server
An MCP server that enables searching for Rust crates and their documentation from crates.io and docs.rs.
The Model-Context-Protocol (MCP) gives LLMs a way to call APIs and thus access external systems in a well-defined manner.
The Conifer SDK — one gateway for cloud, local, and BYOK inference, with exact per-call cost receipts. TypeScript + Python + MCP.
An MCP server that allows AI assistants to connect with Google Gemini's command-line interface, taking advantage of Gemini's large token capacity to analyze large files and understand codebases.
Telegram channel and group reader MCP Server
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.