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It seamlessly integrates natural language queries for collections, schema inspection, and data management.","description_zh":"一种模型上下文协议（MCP）服务器，使大型语言模型（LLM）能够直接与MongoDB数据库交互。通过自然语言查询集合、检查模式和管理数据无缝衔接。","official_url":"https://cloud.tencent.com/developer/mcp/server/10598?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["mongo-mcp","mongodb://<用户名>:<密码>@<主机>:<端口>/<数据库>?authSource=admin"]},"categories":["数据库与文件"],"categories_en":["Databases and Files"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11171","mcpid":"github.com/StevenStavrakis/obsidian-mcp","name":"Obsidian MCP Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"Enable the AI Assistant to interact with the Obsidian vault, providing tools for reading, creating, editing, and managing notes and tags.","description_zh":"启用AI助手与Obsidian保险库互动，提供阅读、创建、编辑和管理笔记和标签的工具。","official_url":"https://cloud.tencent.com/developer/mcp/server/11171?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","obsidian-mcp","/path/to/your/vault","/path/to/your/vault2"]},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10890","mcpid":"github.com/mario-andreschak/mcp-image-recognition","name":"MCP Image Recognition Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"Utilizing the Anthropic Claude Vision and OpenAI GPT-4 Vision APIs to deliver image recognition capabilities, supporting a variety of image formats, and offering optional text extraction through Tesseract OCR.","description_zh":"使用Anthropic Claude Vision和OpenAI GPT-4 Vision API提供图像识别功能，支持多种图像格式，并通过Tesseract OCR提供可选的文本提取。","official_url":"https://cloud.tencent.com/developer/mcp/server/10890?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"uvx","args":["mcp-image-recognition"],"env":{"OPENAI_API_KEY":"your-api-key","OPENAI_MODEL":"gpt-4o","VISION_PROVIDER":"openai"}},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11489","mcpid":"github.com/mastra-ai/mastra","name":"Mastra","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"Mastra is a TypeScript-based AI application development framework that offers core functionalities such as LLM model integration, intelligent agents, tool systems, visual workflows, RAG knowledge base enhancement, third-party integrations, and automated evaluation. It supports both local and cloud deployments, enabling developers to quickly build scalable AI applications. Compatible with mainstream models like OpenAI and Anthropic, Mastra also provides a toolchain and community support.","description_zh":"Mastra是一个基于TypeScript的AI应用开发框架，提供LLM模型集成、智能代理、工具系统、可视化工作流、RAG知识库增强、第三方集成及自动化评估等核心功能。支持本地或云端部署，帮助开发者快速构建可扩展的AI应用，兼容OpenAI、Anthropic等主流模型，并提供工具链和社区支持。","official_url":"https://cloud.tencent.com/developer/mcp/server/11489?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","@mastra/mcp-docs-server"]},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11458","mcpid":"github.com/JovaniPink/mcp-browser-use","name":"MCP server w/ Browser Use","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"Enable AI agents to interact with web browsers through natural language, featuring capabilities such as automated browsing, form filling, vision-based element detection, and structured JSON responses for system browser control.","description_zh":"启用AI代理通过自然语言与网络浏览器交互，功能包括自动浏览、表单填写、基于视觉的元素检测以及用于系统浏览器控制的结构化JSON响应。","official_url":"https://cloud.tencent.com/developer/mcp/server/11458?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"uvx","args":["mcp-server-browser-use"],"env":{"ANONYMIZED_TELEMETRY":"false","ANTHROPIC_API_KEY":"","AZURE_OPENAI_API_KEY":"","AZURE_OPENAI_ENDPOINT":"","CHROME_DEBUGGING_HOST":"localhost","CHROME_DEBUGGING_PORT":"9222","CHROME_PATH":"","CHROME_PERSISTENT_SESSION":"false","CHROME_USER_DATA":"","GOOGLE_API_KEY":"","MCP_MAX_ACTIONS_PER_STEP":"5","MCP_MAX_STEPS":"30","MCP_MODEL_NAME":"claude-3-5-sonnet-20241022","MCP_MODEL_PROVIDER":"anthropic","MCP_TEMPERATURE":"0.3","MCP_TOOL_CALL_IN_CONTENT":"true","MCP_USE_VISION":"true","OPENAI_API_KEY":"","OPENAI_ENDPOINT":"https://api.openai.com/v1"}},"categories":["浏览器自动化"],"categories_en":["Browser Automation"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10836","mcpid":"github.com/marcopesani/mcp-server-serper","name":"Serper Search and Scrape MCP Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"The Serper MCP server supports both search and web scraping functionalities, and is compatible with all the latest parameters introduced by the Serper API, such as location parameters.","description_zh":"该 Serper MCP 服务器支持搜索和网页抓取，并且兼容 Serper API 引入的所有最新参数，例如位置参数。","official_url":"https://cloud.tencent.com/developer/mcp/server/10836?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","serper-search-scrape-mcp-server"],"env":{"SERPER_API_KEY":"your_api_key_here"}},"categories":["搜索与信息检索"],"categories_en":["Search and Information Retrieval"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11269","mcpid":"github.com/aliargun/mcp-server-gemini","name":"Gemini MCP Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"The Model Context Protocol (MCP) server implementation enables Claude Desktop to interact with Google's Gemini AI model.","description_zh":"模型上下文协议（MCP）服务器实现，使克劳德桌面能够与谷歌的双子座AI模型进行交互。","official_url":"https://cloud.tencent.com/developer/mcp/server/11269?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","github:aliargun/mcp-server-gemini"],"env":{"GEMINI_API_KEY":"your_api_key_here"}},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11657","mcpid":"github.com/sourcebot-dev/sourcebot/tree/main/packages/mcp","name":"Sourcebot MCP - Fetch code context from GitHub, GitLab, Bitbucket, and more","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"Sourcebot MCP Server is a tool designed to provide code context retrieval capabilities for LLM (Large Language Model) agents. It supports fetching code information from multiple code hosting platforms such as GitHub, GitLab, and Bitbucket, and injecting it into chat sessions to enhance the response and reasoning abilities of LLMs. With Sourcebot MCP, users can perform functions like code search, function definition lookup, and dependency analysis, making it suitable for various scenarios including code review, documentation generation, and compliance auditing. Additionally, Sourcebot MCP supports the customization of LLM agents and offers detailed installation and configuration guides, facilitating rapid integration and usage for developers.","description_zh":"Sourcebot MCP 服务器是一个为LLM（大语言模型）代理提供代码上下文获取能力的工具。它支持从GitHub、GitLab、Bitbucket等多个代码托管平台获取代码信息，并将其注入到聊天会话中，从而增强LLM的响应和推理能力。通过Sourcebot MCP，用户可以实现代码搜索、函数定义查找、依赖分析等功能，适用于代码审查、文档生成、合规审计等多种场景。此外，Sourcebot MCP还支持自定义LLM代理的构建，并提供了详细的安装和配置指南，便于开发者快速集成和使用。","official_url":"https://cloud.tencent.com/developer/mcp/server/11657?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","@sourcebot/mcp@latest"],"env":{"SOURCEBOT_HOST":"http://localhost:3000"}},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10235","mcpid":"github.com/MarkusPfundstein/mcp-obsidian","name":"MCP server for Obsidian","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"The MCP server utilizes the Local REST API community plugin to facilitate interaction with Obsidian, establishing a bridge for communication between the two. This enables the seamless flow of data and functionality, providing users with a more convenient and diverse experience.","description_zh":"MCP 服务器借助 Local REST API 社区插件，实现与 Obsidian 的交互，搭建起两者沟通的桥梁，让数据与功能在二者间得以流通，为用户带来更便捷、多元的使用体验。","official_url":"https://cloud.tencent.com/developer/mcp/server/10235?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"uvx","args":["mcp-obsidian"],"env":{"OBSIDIAN_API_KEY":"<YOUR_OBSIDIAN_API_KEY>"}},"categories":["文档工具"],"categories_en":["Document Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10755","mcpid":"github.com/GongRzhe/REDIS-MCP-Server","name":"Redis MCP Server (@gongrzhe/server-redis-mcp@1.0.0)","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"The Redis MCP Server (@gongrzhe/server-redis-mcp@1.0.0) is a server implementation designed for interacting with Redis databases, based on the Redis Model Context Protocol (MCP). It enables large language models (LLMs) to interact with Redis key-value stores through a set of standardized tools, supporting common Redis operations such as setting, getting, deleting, and listing key-value pairs. The server can be installed via Smithery or manually, and it supports integration with the Claude Desktop application. Additionally, it offers Docker support for easy deployment across various environments. Developers can build from source code or use Docker to create images. The project is licensed under the ISC license.","description_zh":"Redis MCP 服务器（@gongrzhe/server-redis-mcp@1.0.0）是一个用于与 Redis 数据库交互的服务器实现，基于 Redis 模型上下文协议 (MCP)。它通过一组标准化工具使大型语言模型 (LLMs) 能够与 Redis 键值存储进行交互，支持常见的 Redis 操作如设置、获取、删除和列出键值对。该服务器可以通过 Smithery 或手动安装，并支持与 Claude Desktop 应用程序集成。它还提供了 Docker 支持，便于在不同环境中部署。开发人员可以从源代码构建或使用 Docker 构建镜像。该项目遵循 ISC 许可证。","official_url":"https://cloud.tencent.com/developer/mcp/server/10755?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["@gongrzhe/server-redis-mcp@1.0.0","redis://localhost:6379"]},"categories":["数据库与文件"],"categories_en":["Databases and Files"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10391","mcpid":"github.com/Krekun/vrchat-mcp-osc","name":"VRChat MCP OSC","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"It serves as a bridge between artificial intelligence assistants and VRChat, enabling AI-driven avatar control and interaction in virtual reality environments through the model context protocol.","description_zh":"为人工智能助手和VRChat之间提供了一个桥梁，通过模型上下文协议实现虚拟现实环境中的人工智能驱动的头像控制和互动。","official_url":"https://cloud.tencent.com/developer/mcp/server/10391?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["vrchat-mcp-osc"]},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10714","mcpid":"github.com/bitscorp-mcp/mcp-ffmpeg","name":"MCP FFmpeg Video Processor","logo_url":"https://developer.qcloudimg.com/mcp/site_icon/e4765a6ceecab5102ddbaeaeec00e9c0.png","description_en":"A Node.js server enabled for video operations through natural language requests, including adjusting video to different resolutions (360p to 1080p) and extracting audio in various formats (MP3, AAC, WAV, OGG).","description_zh":"一个启用通过自然语言请求进行视频操作的 Node.js 服务器，包括将视频调整为不同分辨率（360p 到 1080p）以及以各种格式（MP3、AAC、WAV、OGG）提取音频。","official_url":"https://cloud.tencent.com/developer/mcp/server/10714?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["--yes","/absolute/path/to/mcp-ffmpeg"]},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10417","mcpid":"github.com/da-okazaki/mcp-neo4j-server","name":"MCP Neo4j Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"The MCP Neo4j Server facilitates integration between Neo4j graph databases and Claude Desktop, enabling natural language interactions for database operations. 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It is built on the Model Context Protocol (MCP) and supports integration with the desktop version of Claude. Users can enable the server on different operating systems by configuring JSON files. The server communicates through standard input and output, and for debugging purposes, it is recommended to use the MCP Inspector tool, which simplifies the debugging process and provides a browser-accessible debugging interface.","description_zh":"E2B MCP 服务器是一个由 E2B 开发的 Python 应用程序，用于在安全沙箱环境中执行代码。它基于模型上下文协议（MCP），支持与 Claude 桌面版集成，用户可通过配置 JSON 文件在不同操作系统上启用服务器。该服务器通过标准输入输出进行通信，调试时建议使用 MCP Inspector 工具，以简化调试过程并提供浏览器访问的调试界面。","official_url":"https://cloud.tencent.com/developer/mcp/server/10103?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"uvx","args":["e2b-mcp-server"],"env":{"E2B_API_KEY":"${e2bApiKey}"}},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10671","mcpid":"github.com/rawveg/ollama-mcp","name":"Ollama MCP Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"Achieves seamless integration between Ollama's local LLM model and applications supporting the MCP protocol, enabling model management and chat interactions.","description_zh":"实现了Ollama的本地LLM模型与支持MCP协议的应用程序之间的无缝集成，支持模型管理和聊天互动。","official_url":"https://cloud.tencent.com/developer/mcp/server/10671?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","@rawveg/ollama-mcp"]},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10115","mcpid":"github.com/merajmehrabi/Outlook_Calendar_MCP","name":"Outlook Calendar MCP Tool","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"The Model Context Protocol (MCP) server enables Claude to access and manage your local Microsoft Outlook calendar (Windows only).","description_zh":"模型上下文协议 (MCP) 服务器允许 Claude 访问和管理您的本地 Microsfot Outlook 日历（仅限 Windows）。","official_url":"https://cloud.tencent.com/developer/mcp/server/10115?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","outlook-calendar-mcp"]},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11059","mcpid":"github.com/qinyuanpei/mcp-server-weibo","name":"Weibo MCP Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"A model context protocol server designed for retrieving Weibo user information, activities, and search functionalities. 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It supports local Jupyter and Datalayer-hosted notebooks, offering features like real-time control, smart execution, and MCP compatibility with clients like Claude Desktop and VS Code. The server includes tools for advanced notebook interactions, such as `insert_execute_code_cell` and `append_markdown_cell`. Setup involves installing dependencies, starting JupyterLab, and configuring MCP clients via Docker. Detailed documentation and resources are available for further guidance.","description_zh":"通过模型上下文协议启用与 Jupyter 笔记本的交互，支持在 JupyterLab 环境中执行代码和插入 markdown。","official_url":"https://cloud.tencent.com/developer/mcp/server/11347?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"uvx","args":["jupyter-mcp-server@latest"],"env":{"ALLOW_IMG_OUTPUT":"true","JUPYTER_TOKEN":"MY_TOKEN","JUPYTER_URL":"http://localhost:8888"}},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10421","mcpid":"github.com/bhouston/mcp-server-text-editor","name":"Claude Text Editor MCP Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"Open-source implementation of the built-in text editor tool for Claude: 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management.","description_zh":"通过持久记忆系统增强用户互动，该系统可以记住跨聊天的信息，并通过利用本地知识图谱和课程管理来从过去的错误中学习。","official_url":"https://cloud.tencent.com/developer/mcp/server/10287?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","@modelcontextprotocol/server-memory"]},"categories":["数据库与文件"],"categories_en":["Databases and Files"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11430","mcpid":"github.com/kevinwatt/yt-dlp-mcp","name":"yt-dlp-mcp","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"By utilizing the Model Context Protocol (MCP), \"yt-dlp\" is integrated with Large Language Models (LLMs), enabling users to download YouTube content and seamlessly incorporate it with Dive and other MCP-compatible large language 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The server runs over stdio, and logs can be monitored for further debugging.","description_zh":"通过模型上下文协议（Model Context Protocol）将 Inkdrop 笔记应用与 Claude AI 集成，允许 Claude 搜索、读取、创建和更新您 Inkdrop 数据库中的笔记。","official_url":"https://cloud.tencent.com/developer/mcp/server/10158?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","@inkdropapp/mcp-server"],"env":{"INKDROP_LOCAL_PASSWORD":"your-local-server-password","INKDROP_LOCAL_SERVER_URL":"http://localhost:19840","INKDROP_LOCAL_USERNAME":"your-local-server-username"}},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10664","mcpid":"github.com/neka-nat/freecad-mcp","name":"FreeCAD MCP","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"This repository is a FreeCAD MCP, which allows you to control FreeCAD through Claude Desktop.","description_zh":"这个仓库是一个FreeCAD MCP，它允许你通过Claude Desktop来控制FreeCAD。","official_url":"https://cloud.tencent.com/developer/mcp/server/10664?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"uvx","args":["freecad-mcp"]},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11260","mcpid":"github.com/BurtTheCoder/mcp-shodan","name":"Shodan MCP Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"The MCP server is used for querying the Shodan API and Shodan CVEDB. 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This server enables the AI assistant to manage Gmail through natural language interactions.","description_zh":"用于 Claude Desktop 中 Gmail 集成的服务器，支持自动身份验证。此服务器使人工智能助手能够通过自然语言交互管理 Gmail。","official_url":"https://cloud.tencent.com/developer/mcp/server/10176?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["@gongrzhe/server-gmail-autoauth-mcp"]},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11195","mcpid":"github.com/tacticlaunch/mcp-linear","name":"MCP Linear","logo_url":"https://developer.qcloudimg.com/mcp/site_icon/61e8a79b3c7b5271f7182d228bf759d3.png","description_en":"MCP Linear is a Model Context Protocol (MCP) server implemented for the Linear GraphQL API, designed to enable AI assistants to seamlessly interact with the Linear project management system. 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The project is based on the MIT license, allowing developers to freely use and modify it.","description_zh":"启用AI助手通过自然语言与Linear项目管理系统交互的MCP服务器，允许用户检索、创建和更新问题、项目和团队。","official_url":"https://cloud.tencent.com/developer/mcp/server/11195?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["-y","@tacticlaunch/mcp-linear"],"env":{"LINEAR_API_TOKEN":"<YOUR_TOKEN>"}},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp10599","mcpid":"github.com/QuantGeekDev/coincap-mcp","name":"Coincap MCP","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"Coincap MCP is a server designed for querying cryptocurrency information, enabling users to access data through Coincap's public API without the need for an API key or registration. It supports a variety of features, such as querying Bitcoin prices, retrieving the price of any cryptocurrency, and listing all available cryptocurrency assets. The server can be automatically installed via Smithery, supports Node.js 18+ and npx, and is compatible with both MacOS and Windows systems. Developers can build and run the server locally, with support for automatic rebuilding. The project is licensed under the MIT License, making it suitable for applications that require quick access to cryptocurrency data.","description_zh":"Coincap MCP 是一个用于查询加密货币信息的服务器，允许用户通过 Coincap 的公共 API 获取数据，而无需 API 密钥或注册。它支持多种功能，如查询比特币价格、获取任何加密货币的价格以及列出所有可用的加密货币资产。该服务器可通过 Smithery 自动安装，支持 Node.js 18+ 和 npx，适用于 MacOS 和 Windows 系统。开发人员可以在本地构建和运行服务器，支持自动重建功能。项目采用 MIT 许可证，适用于需要快速获取加密货币数据的应用场景。","official_url":"https://cloud.tencent.com/developer/mcp/server/10599?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"npx","args":["coincap-mcp"]},"categories":["搜索与信息检索"],"categories_en":["Search and Information Retrieval"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11428","mcpid":"github.com/kevinwatt/mcp-server-searxng","name":"SearXNG MCP Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"This server offers a privacy-focused metasearch feature by integrating multiple search engines, ensuring no tracking or user profiling is conducted. 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It prevents AI assistants from generating erroneous imaginations about NixOS resources and enables them to provide factual guidance on system configuration.","description_zh":"MCP-NixOS 是一个模型上下文协议服务器，它提供关于 NixOS 软件包、选项、Home Manager 和 nix-darwin 配置的实时、准确信息，防止 AI 助手对 NixOS 资源产生错误想象，并使它们能够提供基于事实的系统配置指导。","official_url":"https://cloud.tencent.com/developer/mcp/server/11023?fromchannel=cb","readme_url":"","install_prompt_en":"","install_prompt_zh":"","install_commands":{"command":"uvx","args":["mcp-nixos"]},"categories":["开发者工具"],"categories_en":["Developer Tools"],"preinstalled":false,"tags":[]},{"status":"connecting","resources":[],"resourceTemplates":[],"tools":[],"prompts":[],"id":"mcp11727","mcpid":"github.com/neondatabase-labs/mcp-server-neon","name":"Neon MCP Server","logo_url":"https://cloudcache.tencent-cloud.com/qcloud/ui/static/other_external_resource/61e4ce1f-c0db-466f-a917-3bb880259cc7.png","description_en":"The Neon MCP Server is an open-source tool designed to facilitate interaction with Neon Postgres databases through natural language. Built on the Model Context Protocol (MCP), it translates natural language requests into Neon API calls, streamlining database management tasks such as project creation, branching, query execution, and database migrations. The server is tailored for non-developers, offering intuitive conversational commands that eliminate the need for writing SQL or directly manipulating APIs. Users can set up the MCP Server either remotely or locally, with authentication options including OAuth or API keys. 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