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
The . The historical and kept only for legacy/self-hosted workflows. New users should start with the extension-first path below.
make your ai track the progress of your project without drifting off
Pay-as-you-go AI video generation and model comparison, with MCP workflows for compatible assistants.
The MCP ecosystem has grown to 10,000+ servers, but discovering and installing them remains painful. Existing directories — Glama, PulseMCP, mcp.so — are all closed source.
The polished public release — native ComfyUI design system, live activity cards for every agent edit, and multi-tab support. Search in ComfyUI-Manager to install, or see the docs.
This project is . Please provide feedback via GitHub issues.
An MCP Server implementation that integrates the Brave Search API, providing, Web Search, Local Points of Interest Search, Video Search, Image Search, News Search and LLM Context Search capabilities
AI-powered anti-detection browser automation for MCP-compatible AI agents.
就算有一套完全自动赚钱的工具，你也会经常盯着它。你跟专业交易员对比，差别在于是否看得懂。而EasyDeal 就是解决这个问题的一套框架，提供一组MCP工具，接入 openclaw、Claude Code, Fay等agent后，在MT5交易环境可以协同各种策略工作，监控策略的执行、为你解答各种问题、指导你做出突发处理，甚至直接帮你修改策略代码。
开源 AI 低代码平台：.NET 10 + Vue 3 + Redis，以 V8 引擎连接 AI 编程、可视化建模与企业级交付。 支持 VS Code / Codex / Copilot / Cursor / Claude + MCP + Skills，本地或在线开发，保存即生效。
The cognitive memory layer for AI agents.
Every scraper starts working. The question is how long before it breaks. Anansi is built on a different assumption: the web is adversarial and unstable, and your scraper should handle that without...
Agent Skills
以面试官的角度为你讲解C++知识（针对面试高效学习）
🌍 30 AI-powered geoscience skills for Claude Code, Cursor & GitHub Copilot. Seismic, well logs, 3D modelling, inversion, geostatistics, spatial regression, NetCDF, and more.
Enables LLM to use a cli environment.
南鸢·人像角色设定师：把人物气质转成脸部结构、妆容与完整中文提示词
Agent Skills for Linkly AI — search, browse, and read your local documents from any AI coding agent.
Codex skill for e-commerce product visuals from product and reference images
Agent Skills for Parallel — web search, content extraction, deep research, and data enrichment for AI coding agents.
Command-line tool for distributed LLM inference benchmarks on SLURM clusters using TensorRT LLM, SGLang and vLLM.
Agent skills for working with DataHub — plan and review connectors, search the catalog, enrich metadata, trace lineage, manage data quality, and set up connections.
Run, deploy and monitor CLI agents in secure cloud sandboxes.
基于 GJB 438C-2021 [5.10] 标准模板的 SRS 文档自动生成
基于 LangGraph 和 DeepAgents 框架的智能体 Skills 能力演示项目。