PayPal MCP Server by CData

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

A Serper MCP Server

Web content fetching and conversion for efficient LLM usage

MCP (Model Context Protocol) Server implementation that provides AI tools to search using YaCy web search API.

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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.

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。

MCP server for API documentation, supporting GraphQL, OpenAPI/Swagger, and gRPC from local files or remote URLs

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

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

卖家精灵数据MCP，可以查询商品的价格，销量，排名等各种纬度的数据，关键词关键的商品，以及对应的自然流量，广告排名等数据

CAA (Control Any App) is an innovative MCP (Model Context Protocol) service launched by **Haima Cloud**, a leading provider of cloud PC and cloud phone services. We are dedicated to breaking down the barriers between large AI models and the ecosystem of cloud-based applications. With CAA, developers and enterprise users can obtain a powerful API key that seamlessly connects any large language model (LLM) to Haima Cloud's cloud PC and cloud phone instances. This means you no longer need complex scripts or manual intervention. Simply use natural language or simple code instructions to enable AI to control hundreds of cloud devices, performing complex tasks such as launching applications, rendering content, querying information, and batch operations—just like a human user—elevating automation and intelligence to a new level.

Discover the power of the “CLGateway”, an the open-source Claude MCP Server Gateway (available on GitHub). Built for users of Claude Desktop, Claude API or Claude Code, this Python-based gateway smartly manages your MCP (Model Context Protocol) servers and dramatically slashes token usage, cutting MCP context bloat by roughly 95%. Rather than forcing Claude to load every tool from all configured MCP servers (often thousands of tokens wasted upfront), the gateway exposes just three core tools initially. When you need a specific MCP server (GitHub, Google Workspace, DataForSEO, etc.), the gateway dynamically loads only what’s required, reducing tokens used, improving context clarity, and boosting performance.

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.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

An MCP service that turns BizyAir-designed workflows / AI apps into MCP tools and exposes an instant MCP API, so any MCP client can run them conversationally.

Browser automation and web scraping

Integrate your Alkemi Data, connected to Snowflake, Google BigQuery, DataBricks and other sources, with your MCP Client.

卖家精灵数据MCP，可以查询商品的价格，销量，排名等各种纬度的数据，关键词关键的商品，以及对应的自然流量，广告排名等数据

Location services, directions, and place details

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.

A FastMCP-based MCP server for converting JSON-formatted Markdown content into interactive flashcard pages. Project Overview FlashCardMCP is a FastMCP-based MCP service designed to convert Markdown content in JSON/CSV format into interactive flashcard pages. This service is suitable for learning, teaching, knowledge management, and any other scenario you desire, helping users create their own digital flashcard sets. Content Focus: Utilizes Markdown format, aligning with LLM output, allowing users to concentrate on content creation rather than irrelevant formatting details. Stable Output: Employs functions to stably generate flashcards, supporting CSS style input to meet personalized needs. Scenario-Based Templates: Provides pre-built templates for various scenarios, with further expansion planned. PDF Output: Flashcards can be printed as PDFs (8 cards per sheet), further accommodating different scenarios and real-world applications for use and memorization.

The TwelveLabs MCP Server provides seamless integration with the TwelveLabs platform. This server enables AI assistants and applications to interact with TwelveLabs powerful video analysis capabilities through a standardized MCP interface.

This project provides an AI MCP server logic analyzers. It enables remote control, automation, and integration of Saleae Logic devices and captures, making it easy to script, manage, and analyze logic analyzer data programmatically.