Gmail IMAP MCP Server

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

Web content fetching and conversion for efficient LLM usage

Write notes to Flomo

MCP server to provide Figma layout information to AI coding agents like Cursor

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Host the HTML or Markdown pages your AI generates and share each as a link with comments, versioning, and access control. Create, update, and organize pages and read reviewer comments over MCP.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

ContextBridge (CB) is a local-first retrieval layer that sits between your codebase and your AI coding agent. Instead of pasting raw source files into context or letting the AI guess which files matter, CB indexes your codebase's real structure (via Graphify) and returns a compact, ranked result — owner file, related files, key symbols, and dependency chains — grounded in your actual code. A typical response is ~4–8 KB instead of the 100+ KB of raw source an AI would otherwise need to read to answer the same question — roughly a 96% cut in input tokens sent to your cloud AI, with zero hallucinated file paths or method names.

Is this song AI or human? SongCheck detects AI-generated music (Suno, Udio, and more) and media from any AI agent. Point it at an audio file, an image/video, or a whole music folder and it returns a verdict (LIKELY AI-GENERATED / UNCERTAIN / LIKELY HUMAN), an AI-probability score, confidence, and provenance signals (Content Credentials / SynthID watermark, generator hints). Tools: detect_ai_music, detect_ai_media, scan_catalog (audit an entire catalog), and songcheck_health. Free tier is 5 checks/day; a paid key unlocks unlimited catalog scans. Powered by SongCheck (Khaled Media), a self-hosted v9 ensemble detector.

Retrieving and analyzing issues from Sentry.io