找到适合你的 MCP Server，快速完成接入

Doris MCP (Model Control Panel) Server is a backend service built with Python and FastAPI. It implements the MCP (Model Control Panel) protocol, allowing clients to interact with it through defined \\\"Tools\\\". It's primarily designed to connect to Apache Doris databases, potentially leveraging Large Language Models (LLMs) for tasks like converting natural language queries to SQL (NL2SQL), executing queries, and performing metadata management and analysis.

Apache Superset MCP

全面解析Apache SupersetMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Apache Superset能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

apappascs tavily-search-MCP-server

公开目录未提供摘要。

Manage your Jumpseller e-commerce store with AI. Create products with variants, process orders, search customers, and organize your catalog.

Enables AI tools to search and explore API documentation from Apidog projects or OpenAPI/Swagger specifications, providing endpoint details, schemas, and project statistics through natural language queries.

Connects external APIs like Open-Meteo and AgroMonitoring to your development environment through URI-like requests, allowing access to live data directly in MCP-compatible tools.

Encrypted credential vault with a 21-tool MCP server. Store and manage LLM API keys, service API keys, and OAuth credentials — then let your AI agent list, reveal, rotate, rename, pause, and proxy calls through them.

Dynamically converts any REST API into MCP tools by registering web API configurations at runtime. Supports multiple authentication methods and automatically generates MCP-compatible tools for AI assistants to interact with external web services.

Search web using baidu with AI.

Enables users to search and access AppCan mobile development platform documentation with intelligent fuzzy search, caching, and content retrieval. Provides comprehensive access to AppCan's API documentation, development guides, and tutorials through natural language queries.

Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.

An app intelligence query engine that enables analysis of over 1 billion reviews from Google Play and the Apple App Store. It provides tools for sentiment analysis, keyword rankings, competitive comparisons, and time-series forecasting across 250,000+ apps.

appdeploy (App Deploy)

mcp-remote

Turn AI conversations into live apps. Describe what you need, and AppDeploy deploys a real, full-stack app. From idea to live app in minutes, without touching infrastructure.

全面解析Apple Health MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Apple Health MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Enables interaction with Apple's Find My network to track devices, check battery status, and manage device information. Provides secure authentication and caching for efficient access to your Apple devices' location and status data.

An MCP server that allows users to query and analyze their Apple Health data using SQL and natural language, utilizing DuckDB for fast and efficient health data analysis.

A high-performance MCP server for Apple Mail that uses optimized JavaScript for Automation (JXA) to search and manage emails. It enables users to list accounts, fetch mailboxes, and retrieve today's, unread, or flagged messages with significantly improved speed through batch property fetching.

Enables interaction with Apple apps like Messages, Notes, and Contacts through the MCP protocol to send messages, search, and open app content using natural language.

Enables the generation, management, and validation of Apple Shortcuts (.shortcut files) by providing tools to search actions and build control flow blocks. It allows users to programmatically create and analyze shortcut structures for deployment on iOS and macOS devices.

Enables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.