Mainline

Pre-install trust scoring & safety scanning for MCP servers, AI skills & npm packages — 15 signals incl. OSV/KEV/EPSS vuln intel and an auto-gate go/no-go.

Write notes to Flomo

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Know what's protectable before competitors copy it. Instant AI-powered patentability check for your startup idea. Submit your idea — get a Patentability Analysis document (PDF + DOCX) with IP risk score and a clear picture of what's protectable. Free, no card required. Full IP Portfolio with 6 documents available ($99).

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

MCP Advisor & Installation - Use the right MCP server for your needs

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

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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.

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

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

Retrieving and analyzing issues from Sentry.io

AI image generation using various models

Commerce infrastructure for AI agents — 43 MCP tools to search, compare, and purchase across 36 verified retailers in 8 countries. 45,000+ real shelf prices refreshed every 4h. MIT.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Location services, directions, and place details

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

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

Browser automation and web scraping

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

A Serper MCP Server

Playwright MCP server

An MCP server that provides a tool for sending transactional emails via Mailtrap

One API for Search, Crawling, and Sitemaps

Web content fetching and conversion for efficient LLM usage

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.