Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Process documents 100x larger than your LLM's context window—without vector databases or chunking heuristics.
A collection of MCP server examples developed with Java SDKs
is a semantic testing framework for .NET — write AI tests in , run them with .
This repo contains MCP tools and sample agents for fetching public information from Data Commons.
Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client
The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.
Minimal API & React framework, fully type safe, OpenAPI, RSC, MCP, type safe client, streaming with SSE
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents.
Google Trend MCP server
Claude Code MCP is an implementation of Claude Code as a Model Context Protocol (MCP) server. This project allows you to use Claude Code's powerful software engineering capabilities through the...
Simple MCP server to send you notifications on telegram
The MCP server allows the Rancher AI agent to securely retrieve or update Kubernetes and Rancher resources across local and downstream clusters.
Agent Skills
Stage-aware security skills for Codex that surface planning gaps, offer opt-in reviews, and help teams ship safer code without pretending to certify security.
A composable library of skills and rules for AI coding agents. Covers repo memory, long-horizon execution, multi-agent coordination, TDD, security review, and delivery automation.
MBA AI Agent课程：2天集中培训，从LLM基础到多智能体系统
Copy this repo into any project. Claude Code, Codex, and other agentic tools then follow the same gated process — spec, plan, task cards, implementation, verification, review — before code reaches...
Production-ready FastAPI + Next.js project generator with AI agents, RAG, and 20+ enterprise integrations.
The open sharing protocol for the agentic era. A Linux Foundation AI & Data Project
这个仓库源于我使用 Codex 的日常需求。写论文不是单点任务，而是一条从构思、实验、写作、审稿到 rebuttal 的长链路；每一步都需要 AI 有边界、有证据、懂学术表达。因此这个仓库把 组织成当前 7 个模块、27 个可触发 Skills：
本文件是** —— banner + badges + 信任面 + 9 阶段流水线速览 + 74 行合集总表。 每个合集的**在 docs/CONTENT_ZH.md（扩展正文，总表行内的 → 直接跳转到对应锚点）。 English version: README-en.md · 中文扩展正文：docs/CONTENT_ZH.md · README-zh-CN.md 已弃用（重定向占位）
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
Found a bug or need help? · Open an issue · Discussions
A collection of interesting libraries and tools for Avalonia project.
Turn the object in an attached image into a quality-gated, animation-ready procedural Three.js model built entirely with code.