MCP Server - 探索最佳MCP Server 2025

Toolkit MCP Server is a Model Context Protocol (MCP) server designed to provide LLM Agents and developers with essential system utilities and tools. It supports functionalities such as IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation. This server facilitates communication between clients like Claude Desktop, IDEs, and other MCP-compatible applications, enhancing development workflows and automation. Developers and users of LLM Agents can benefit from its advanced features, which include intelligent caching, ping/traceroute utilities, and resource monitoring. Toolkit MCP Server can be installed via npm or by cloning the source code from GitHub, and it is ideal for both development and automation scenarios.

Azure MCP Server is a Model Context Protocol (MCP) server designed to interact with Azure services, including Azure Blob Storage and Azure Cosmos DB (NoSQL API). It simplifies operations such as creating containers, uploading blobs, and managing Cosmos DB items. This tool provides a standardized interface for seamless integration with applications like Claude Desktop, ensuring secure handling of Azure credentials. All operations are automatically logged for auditing, making it ideal for developers, DevOps engineers, and cloud administrators who need to manage Azure resources programmatically. Azure MCP Server can be deployed locally and requires proper configuration of Azure credentials and environment variables.

MCP2Brave is an MCP server that enhances network search capabilities for tools like Claude Cline and Langchain by leveraging the Brave API. Built with Python, it requires a Brave API key and specific dependencies. MCP2Brave allows users to integrate web search functionality into their applications, making them more versatile and powerful. It is ideal for developers and users of AI-powered tools who need real-time internet search capabilities. MCP2Brave can be used on any system supporting Python 3.11+, including Windows, Linux, and macOS. To get started, clone the repository, set up a virtual environment, install dependencies, and configure the Brave API key. Testing can be done locally via the MCP Checker at http://localhost:5173.

Bitbucket Server MCP is a Model Context Protocol (MCP) server designed to streamline Bitbucket Server Pull Request management. It provides tools and resources to interact with the Bitbucket Server API, enabling actions such as creating, retrieving, merging, and declining pull requests, as well as adding comments and fetching diffs or reviews. This tool simplifies interactions by offering structured management of pull requests and related workflows, supporting features like default project configuration, various merge strategies, and detailed logging. Ideal for developers and DevOps teams, it can be installed via npm or Smithery, requiring Node.js >= 16. Use it for programmatic access to Bitbucket's APIs, automating PR workflows, and integrating with CI/CD pipelines.

mcp-server-data-exploration is a versatile MCP server designed for interactive data exploration. It simplifies the process of understanding complex datasets, making it ideal for data scientists, analysts, and researchers. Users can load CSV files, execute Python scripts, and generate actionable insights without needing advanced technical knowledge. This tool is particularly useful for analyzing large datasets such as housing prices or weather patterns. Hosted on GitHub under the repository reading-plus-ai/mcp-server-data-exploration, it can be easily set up locally, especially on macOS. Whether you need to perform exploratory data analysis (EDA), visualize trends, or extract insights from structured data, mcp-server-data-exploration is a valuable resource.

Second Opinion MCP Server is an AI-powered server designed to help developers solve complex coding problems by aggregating insights from multiple sources, including Google's Gemini AI, Stack Overflow, and Perplexity AI. It offers detailed solutions, automatic language detection, code snippet extraction, markdown report generation, and Git-aware file context gathering. This tool is ideal for developers, software engineers, and technical teams facing challenges in debugging, optimization, or feature implementation, especially with frameworks like React and technologies like WebSockets. The project is hosted on GitHub under the repository PoliTwit1984/second-opinion-mcp-server, where you can find the source code, documentation, and setup instructions. Use this server when you need expert-level insights, debugging assistance, or optimization strategies, particularly when traditional methods have failed.

MCP Webscan Server is a Model Context Protocol (MCP) server designed for web content scanning and analysis. It offers features such as page fetching, link extraction, site crawling, link checking, pattern matching, and sitemap generation. This tool is ideal for developers and analysts who need to efficiently scan and analyze web content, making it useful for website audits, content migrations, and routine maintenance. MCP Webscan Server can be installed via Smithery or manually by cloning its repository, and it requires Node.js >= 18 and npm. It is compatible with MCP clients like Claude Desktop and runs on stdio transport. The project is open-source and licensed under the MIT License, with key contributors including bsmi021, calclavia, and punkpeye.

Smart Photo Journal MCP Server is a specialized server designed to help users search and analyze their photo libraries with powerful tools. It supports features like location-based search, label-based search, people search, photo analysis, and fuzzy matching for flexible queries. The server integrates with macOS Photos library and operates locally, ensuring data privacy. Ideal for photographers, families, and travelers, it simplifies the process of managing and retrieving photos. Users can gain insights into their photography habits, making it perfect for events like family gatherings and vacations. To install, clone the repository, install dependencies, and configure the server using `claude_desktop_config.json`. Prerequisites include macOS with a Photos library and `uv` for dependency management.

Flutter MCP Server is a TypeScript-based Model Context Protocol (MCP) server designed to provide detailed information about Flutter from its official documentation. It offers a simple notes system that allows users to create, manage, and summarize text notes through specific URIs and tools. This server is particularly useful for developers who need to check Flutter-related questions in a structured manner, organize information into notes, and generate summaries of stored data. Developed by robert-northmind, it can be installed and run locally after cloning the GitHub repository. Key features include note management via 'note://' URIs, tools for creating and summarizing notes, and support for plain text MIME types. For enhanced workflows, it integrates seamlessly with applications like Claude Desktop. Debugging can be facilitated using the MCP Inspector tool, accessible via a browser.

mcp-server-chatsum is an MCP Server designed to summarize chat messages, making it easier to manage and understand large volumes of conversational data. It queries and processes chat messages based on given parameters, providing summarized outputs. Developed by idoubi, mcp-server-chatsum can be integrated with applications like Claude Desktop by adding its server configuration to the app's settings file. It is particularly useful for developers and those working with extensive chat histories. To set up, configure the chat database, create a `.env` file, install dependencies, and build the server. Debugging can be done using the MCP Inspector tool, and support is available through the MCP Server Telegram group and Discord channel. Essential project files include `README.md`, `package.json`, and others.

MCP Architect is a specialized Model Context Protocol (MCP) server designed to provide comprehensive architectural expertise through specialized agents, resources, and tools. It supports various domains such as Software Architecture, Cloud Architecture, AI Architecture, Microservices, and Event-Driven Architecture. MCP Architect streamlines the process of generating, evaluating, modifying, and analyzing architectural designs, offering rich resources like design templates, best practices, and powerful tools. It benefits architects, developers, and engineering teams working on complex systems in cloud computing, microservices, AI, and multi-cloud environments. MCP Architect can be deployed locally or in the cloud, integrating flexibly into different development workflows. It is particularly useful during the planning, design, evaluation, and modification phases of system architecture development.

Gyazo MCP Server is a TypeScript-based Model Context Protocol (MCP) server designed to integrate Gyazo images into AI assistant workflows. It provides structured access to image resources and metadata, enabling seamless interaction with image content. Key features include fetching the latest image, accessing OCR data, and supporting various image formats like JPEG and PNG. This server is ideal for developers and AI engineers working on applications that require real-time image context. To set it up, install dependencies, build the server, set the `GYAZO_ACCESS_TOKEN` environment variable, and configure it in your AI assistant's settings. Debugging can be done using the MCP Inspector tool. Prerequisites include a Gyazo account, an API access token, and Node.js with npm.