Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
A working pattern for SSE-based MCP clients and servers
Every AI can do tax math. None of them can stand behind an answer. Here, real accountants put their on the Guides your AI reads — publicly, on the record, in this repo.
Reliability gateway for AI tool output: schema-stable, secret-safe, pagination-complete JSON for MCP and CLI agents.
An MCP server that converts a layered PSD character into a Spine 4.2 project — skeleton JSON, texture atlas, and atlas page PNG(s) — ready to import into the Spine editor and Unity.
- Let AI assistants analyze binaries directly
Please see the updated mcpb format Claude Desktop Extension
CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.
Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cursor, local models and grep (all LLM models work).
This is an example of an application that's exclusively accessible via Model Context Protocol (MCP).
A MCP server that enables AI models to access and search ZIM format knowledge bases offline
This repo provides a reference implementation for creating a remote MCP server that supports the Streamable HTTP & SSE Transports, authorized with OAuth based on the MCP specification.
Deploy anything on your own servers. Connect a server, click deploy, done. MIT licensed and free to self-host forever.
Agent Skills
Fast, AI-ready, and zero-config. Free and open source, forever.
agent skills for vibe motion
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
Visual skill manager for AI agents. Desktop app and TUI.
License MIT · skills.sh Compatible Runtime
fly ai agent skill
NeMo Gym is a library for evaluating and improving models and agents using environments. NeMo Gym provides infrastructure to develop environments, scalably run evaluation and training, and a...
Lakehouse graph database for context assembly & multi-agent coordination Multimodal retrieval · Git-style branching · object-storage native
The main branch is under active development for . The stable releases are maintained in the v0.x branch. The documentation for Rslib v1 is available at v1.rslib.rs.
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
About • How It Works • Documentation • Quickstart • Skills • Templates