🧠 Ultimate MCP Server

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

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

A Model Context Protocol server that provides read-only access to Ontotext GraphDB. This server enables LLMs to explore RDF graphs and execute SPARQL queries against a GraphDB instance.

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

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.

🚀 Suppr MCP - 让学术翻译更智能 （https://suppr.wilddata.cn/） 打破语言壁垒，加速科研进程！Suppr提供业界领先的AI文档翻译服务，特别针对学术论文优化，完美处理复杂的数学公式和专业术语。支持PDF、Word、PPT、excel、epub、HTML等7种文档格式，覆盖11种主流语言互译。 内置PubMed智能搜索引擎，让文献检索更精准高效。无论是翻译外文论文还是搜索前沿研究，Suppr都是科研工作者的得力助手。 🎯 核心亮点： • 数学公式智能翻译优化 • 支持7种文档格式、11种语言 • AI驱动的学术文献搜索 • 异步任务处理，高效批量翻译 • 完整的翻译历史管理 由 WildData 团队精心打造，值得信赖的学术服务平台。

GitLab API, enabling project management

The pre.dev MCP Server is an MCP endpoint that plugs into AI coding agents and IDEs (Cursor, Claude Code, VS Code, Windsurf) to replace lightweight planning modes with production-ready specification generation. It outputs enterprise-grade architecture (APIs, DB schemas, component hierarchy) and step-by-step implementation roadmaps via two tools—fast_spec for quick MVPs and deep_spec for comprehensive systems—so agents can reliably plan and build complex, multi-file projects.

查询房价

A high-performance Model Context Protocol (MCP) server for math-ing whilst vibing with LLMs. Built with Polars, Pandas, NumPy, SciPy, and SymPy for optimal calculation speed and comprehensive mathematical capabilities from basic arithmetic to advanced calculus and linear algebra.

One API for Search, Crawling, and Sitemaps

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.

PlusE is the Ultra Data Source for Your Trading AI—a revolutionary Model Context Protocol (MCP) service that transforms noisy market data into AI-ready trading intelligence. Old-school raw historical price is out, our HTTP Streamable MCP service is the best way to power trading AI. With pre-digested real-time financial insights delivered directly to your AI models via HTTP Streamable MCP, you can make smarter trading AI — in 5 minutes, no complex pipelines required. Unlike traditional financial data providers that require custom API integrations, PlusE uses the standard Model Context Protocol delivered via HTTP to seamlessly connect financial data tools directly to your AI models. Our service preprocesses, filters, and condenses massive financial datasets into high-density data abstractions. These pre-digested insights eliminate information overload and enable your trading AI to make faster, more accurate decisions.

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.

高德地图官方 MCP Server

Zen7 Payment Agent is the first practical implementation of DePA (Decentralized Payment Agent), pioneering the next generation of intelligent payment infrastructure. It not only fully implements the core functionalities of DePA but also successfully deploys innovative application cases in the agentic commerce domain. As the first practical project in the DePA ecosystem, Zen7 implements several key features: automated encrypted payments between agents, a "permissionless authorization" mechanism, and LLM-driven intent recognition and interaction. Zen7 Payment Agent adopts a multi-agent collaborative architecture, supporting both A2A and MCP protocols, as well as custodial and non-custodial payment models. It provides a comprehensive payment solution for AI Agents and native Dapp applications with multi-chain, multi-currency, multi-wallet support, high-frequency transactions, gasless operations, and passwordless authentication.

Persistent codebase intelligence that gives agents memory across sessions.

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.

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

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.

Location services, directions, and place details

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