Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
MCP Servers
PiloTY: AI pilot for PTY operations via MCP - enables AI agents to control interactive terminals like a human
A progressive AI Agent Harness tutorial written in Rust.
Deploy anything on your own servers. Connect a server, click deploy, done. MIT licensed and free to self-host forever.
Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.
Local-first memory layer for CLI agents. Indexes Claude Code, Codex CLI, and Cursor session histories into SQLite + FTS5 — searchable from a CLI, TUI, or MCP server so your next agent session can...
Self-hosted audit trail for AI agents — one command or one dashboard click from any step back to root cause.
MCP server to perform various OSINT tasks by leveraging common network reconnaissance tools.
Heimdall — MCP server for the Apple App Store Connect API and App Store Server API (StoreKit 2). 890 tools across 13 profiles, generated from Apple's OpenAPI spec, plus one-call macros for worldwide...
This package provides a powerful MCP server to equip LLMs with web access, going beyond naive methods of searching, fetching and extracting content.
Total recall for your terminal. Shared memory for your AI agents.
A mcp server that bridges Dune Analytics data to AI agents.
MCP server for Google Ads, Meta Ads, GA4, TikTok Ads, and LinkedIn Ads. Manage 300+ ad operations from Claude, ChatGPT, Gemini, Cursor, or any AI client. Human-in-the-loop on every write.
Agent Skills
Agent skill for production-grade ROS 2 development — from first workspace to fleet deployment.
把一堆手机拍的旅行素材，用 AI Agent 自动剪成一个完整 Vlog。 你只需要提供素材文件夹，剩下的交给 Agent。
BAGEL is a model-agnostic, modular, fully customizable Python framework for programmable protein design.
一个面向 Seedance 2.5 商业广告创作的导演型 Skill。它把产品 brief、参考图和传播目标转换为 15 秒、30 秒或自定义时长的 TVC 策略、导演执行单、分镜预览与可复制视频提示词，也能根据生成成片的时间码证据给出局部重试方案。
一个用于 的 Codex Skill。它通过 ADB 截图、UI 层级、系统运行时信息和结构化索引，把“人工逛 App”变成一套可追溯、可核验、可用于横向对比的证据材料。
本 skill 把叶子南《高级英汉翻译理论与实践》（第4版）的英译汉方法论，工程化为一条英译中流水线。核心信条如下：
Locate every paper in the literature, not just in a summary.
- using GLiNER-PII and LLM-based augmentation and validation - — LLM-generated substitute, redact, annotate, or hash (deterministic, local) - before full runs with display_record() visualization
A collection of Agent Skills that give a coding agent architectural skills to build scalable, maintainable Django projects with clean separation of concerns, testability, and a full suite of best...
OpenHarness — 24/7 Autonomous AI Framework For OpenClaw
This repository is the canonical source for a simple cloud factory: a set of agent skills and GitHub Actions workflows for moving work from an incoming issue to a verified change.
- — wrap third-party SDK clients (Stripe, Resend, AWS, etc.) with Effect using the "use" pattern: type-safe tagged errors, automatic tracing spans, config-based secrets, and clean dependency...