Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Minimal example of MCP for parsing llms.txt
Open-source research engine that extracts structured knowledge from any topic. Feed it a question. Get back scored claims, entity graphs, and a synthesized report — not paragraphs of slop.
Autonomous AI agent orchestrator — run multi-model dev teams (Claude, Gemini, GPT) with YAML workflows, daemon scheduling, and MCP integration. 100% Rust.
MCP-сервер для токен-эффективного анализа кодовых баз 1С (BSL).
Web dashboard for Hermes Agent gateway — full config, MCP, cron, model management without CLI
MCP server for remediating hardcoded secrets using GitGuardian’s API. It detects over 600 secret types and prevents credential leaks before code is made public.
Convert Shiny Apps to MCP Apps
MCP server for Apache Iceberg
Order groceries from yerevan-city.am right from a conversation with your AI assistant
Inline review comments for markdown specs. Built-in MCP server hands feedback directly to your AI agent.
Native macOS markdown preview + MCP server for Claude Code. Swift/SwiftUI, GFM, Mermaid, syntax highlighting. No Electron.
Python scraper to extract AI responses from Perplexity's web interface.
Agent Skills
SigNoz Website
Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.
Claude Code skill + Remotion scaffold for building polished product launch videos.
Permissionless infrastructure for agents. No human intervention required.
Develop Swift/iOS projects using VSCode
Sync and store bookmarks locally, manage Field Theory Library and command workflows, and make local context available to Claude Code, Codex, or any agent with shell access.
如果在使用过程中遇到问题，请通过 Issues 反馈功能正确性问题和功能请求，其他问题请通过 Discussions 反馈～
VS Code in the terminal
Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.
Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.
🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.
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...