发现优秀的 MCP 服务器

mcp_zhitou_server

MCP 指头服务器 (MCP zhǐtou fúwùqì)

Microsoft Planner MCP Server by CData

This read-only MCP Server allows you to connect to Microsoft Planner data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

iMessage MCP Server

一个本地服务器，使 Claude Desktop 能够与您的 macOS “通讯录”和“信息”应用交互，从而允许您通过自然语言命令搜索联系人并发送 iMessage 信息。

k8s-mcp-server

This phrase is ambiguous and needs more context to be translated accurately. "MCP" could stand for several things. Here are a few possibilities and their corresponding translations: **1. If "MCP" refers to "Microsoft Certified Professional":** * **English:** k8s server for Microsoft Certified Professional * **Simplified Chinese:** 微软认证专业人士的 k8s 服务器 (Wēiruǎn rènzhèng zhuānyè rénshì de k8s fúwùqì) * **Traditional Chinese:** 微软認證專業人士的 k8s 伺服器 (Wēiruǎn rènzhèng zhuānyè rénshì de k8s sìfúqì) * This translation assumes you're talking about a Kubernetes server specifically used by or for Microsoft Certified Professionals. **2. If "MCP" refers to "Media Control Protocol" (related to media streaming):** * **English:** k8s server for Media Control Protocol * **Simplified Chinese:** 媒体控制协议的 k8s 服务器 (Méitǐ kòngzhì xiéyì de k8s fúwùqì) * **Traditional Chinese:** 媒體控制協定的 k8s 伺服器 (Méitǐ kòngzhì xiéyì de k8s sìfúqì) * This translation assumes you're talking about a Kubernetes server that handles or supports the Media Control Protocol. **3. If "MCP" refers to "Master Control Program" (from the movie Tron, highly unlikely in a technical context):** * **English:** k8s server for Master Control Program * **Simplified Chinese:** 主控程序的 k8s 服务器 (Zhǔkòng chéngxù de k8s fúwùqì) * **Traditional Chinese:** 主控程序的 k8s 伺服器 (Zhǔkòng chéngxù de k8s sìfúqì) * This is a very unlikely interpretation in a technical context. **4. If "MCP" refers to something specific within a particular company or project:** * **English:** k8s server for [Company/Project-Specific MCP] * **Simplified Chinese:** [公司/项目特定 MCP] 的 k8s 服务器 ([Gōngsī/Xiàngmù tèdìng MCP] de k8s fúwùqì) * **Traditional Chinese:** [公司/專案特定 MCP] 的 k8s 伺服器 ([Gōngsī/Zhuān'àn tèdìng MCP] de k8s sìfúqì) * In this case, you need to replace "[Company/Project-Specific MCP]" with the actual meaning of MCP in that context. For example, if MCP stands for "My Custom Platform," the translation would be "我的自定义平台的 k8s 服务器" (Wǒ de zì dìngyì píngtái de k8s fúwùqì). **Therefore, to provide the most accurate translation, please clarify what "MCP" stands for in your context.**

MCP-ArcKnowledge

有了这个，您可以轻松地管理和查询您的知识库列表（webhook 端点）。您可以通过注册其 URL 来添加新的文档来源，并且可以选择提供描述和 API 密钥。 您还可以列出所有已注册的文档来源并查看其详细信息。 当您...

PRD Creator MCP Server

一个专门的模型上下文协议服务器，它使人工智能系统能够通过标准化的接口生成详细、结构良好的产品需求文档。

mcp-server-Bloom

一个集成了网络爬取功能的模型上下文协议（MCP）服务器实现。

Fergus MCP Server

Enables AI assistants to interact with Fergus job management platform through secure API integration. Supports managing jobs, customers, quotes, and sites with real-time data synchronization.

Filesystem MCP Server SSE

MCP 服务的 SSE 版本是从文件系统 MCP 服务器修改而来的。

Webpage MCP Server

Enables querying and retrieving webpage content from websites by parsing sitemap.xml files and fetching HTML content from specified URLs. Includes built-in rate limiting for responsible web scraping.

JoeSandboxMCP

A Model Context Protocol (MCP) server for interacting with Joe Sandbox Cloud. This server exposes rich analysis and IOC extraction capabilities from Joe Sandbox and integrates cleanly into any MCP-compatible application (e.g. Claude Desktop, Glama, or custom LLM agents).

System Info MCP Server

Enables comprehensive system monitoring and diagnostics through 18 tools that provide detailed information about CPU, memory, disk usage, network interfaces, running processes, battery status, hardware details, and temperature monitoring. Allows users to query system information and performance metrics through natural language interactions.

rug-check-mcp

一个 MCP 服务器，用于检测 Solana 模因代币中的潜在风险，帮助 AI 代理避免拉盘跑路和不安全的项目。

Blockchain Payment MCP Server

Enables blockchain payment operations across multiple networks including Base, Ethereum, BSC, Polygon, and Avalanche. Supports balance queries, token transfers, transaction tracking, wallet management, and gas fee estimation with built-in security limits.

Google Calendar MCP Server

Enables management of dental appointments through Google Calendar integration. Supports booking, canceling, rescheduling appointments, checking availability, and finding next available slots through natural language.

VNStock MCP Server

Okay, here's a breakdown of how you could create an MCP (presumably meaning a Minimal, Complete, and Verifiable example) server in Python to fetch historical stock prices using the `vnstock` library, along with explanations and considerations: ```python # server.py (or whatever you want to name your server file) from flask import Flask, request, jsonify import vnstock import datetime app = Flask(__name__) @app.route('/historical_stock_data', methods=['GET']) def get_historical_data(): """ Fetches historical stock data for a given ticker symbol and date range using the vnstock library. Query Parameters: ticker (str): The stock ticker symbol (e.g., 'VIC'). Required. start_date (str): The start date in 'YYYY-MM-DD' format. Required. end_date (str): The end date in 'YYYY-MM-DD' format. Defaults to today if not provided. Returns: JSON: A JSON response containing the historical stock data as a list of dictionaries, or an error message if there's an issue. """ ticker = request.args.get('ticker') start_date = request.args.get('start_date') end_date = request.args.get('end_date') if not ticker: return jsonify({'error': 'Missing ticker parameter'}), 400 # Bad Request if not start_date: return jsonify({'error': 'Missing start_date parameter'}), 400 try: datetime.datetime.strptime(start_date, '%Y-%m-%d') # Validate start_date format if end_date: datetime.datetime.strptime(end_date, '%Y-%m-%d') # Validate end_date format else: end_date = datetime.date.today().strftime('%Y-%m-%d') # Default to today except ValueError: return jsonify({'error': 'Invalid date format. Use YYYY-MM-DD.'}), 400 try: data = vnstock.stock_historical_data( symbol=ticker, start_date=start_date, end_date=end_date, period='1D' # Daily data ) # Convert DataFrame to list of dictionaries for JSON serialization data_list = data.to_dict(orient='records') return jsonify(data_list), 200 # OK except Exception as e: print(f"Error fetching data: {e}") # Log the error for debugging return jsonify({'error': f'Error fetching data: {str(e)}'}), 500 # Internal Server Error if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=5000) # Important for network access ``` **Explanation and Key Improvements:** 1. **Dependencies:** - Make sure you have the necessary libraries installed: ```bash pip install flask vnstock ``` 2. **Flask Setup:** - `Flask` is a lightweight Python web framework. We create a Flask app instance. 3. **Route Definition (`/historical_stock_data`):** - `@app.route('/historical_stock_data', methods=['GET'])`: This defines a route that listens for GET requests at the `/historical_stock_data` endpoint. GET is appropriate for fetching data. 4. **Query Parameters:** - `request.args.get('ticker')`: This retrieves the `ticker`, `start_date`, and `end_date` from the URL's query parameters. For example: - `http://localhost:5000/historical_stock_data?ticker=VIC&start_date=2023-01-01&end_date=2023-01-10` 5. **Input Validation:** - **Required Parameters:** Checks if `ticker` and `start_date` are provided. Returns a 400 error (Bad Request) if they are missing. - **Date Format Validation:** Uses `datetime.datetime.strptime` to validate that `start_date` and `end_date` are in the correct `YYYY-MM-DD` format. Returns a 400 error if the format is invalid. - **Default `end_date`:** If `end_date` is not provided, it defaults to the current date. 6. **`vnstock.stock_historical_data()` Call:** - `vnstock.stock_historical_data(...)`: This is where the `vnstock` library is used to fetch the historical data. The `symbol`, `start_date`, and `end_date` are passed as arguments. `period='1D'` specifies daily data. 7. **Error Handling:** - `try...except`: A `try...except` block is used to catch potential errors during the `vnstock` data fetching process. This is crucial for a robust server. - **Logging:** `print(f"Error fetching data: {e}")` logs the error to the console. This is very helpful for debugging. In a production environment, you'd want to use a more sophisticated logging system. - **Error Response:** If an error occurs, a JSON response with an error message and a 500 status code (Internal Server Error) is returned. 8. **JSON Response:** - `data.to_dict(orient='records')`: Converts the Pandas DataFrame returned by `vnstock` into a list of dictionaries. This is necessary because Flask's `jsonify` function can easily serialize lists of dictionaries into JSON. - `jsonify(data_list)`: Converts the list of dictionaries into a JSON response. - `return jsonify(data_list), 200`: Returns the JSON response with a 200 status code (OK). 9. **Running the App:** - `if __name__ == '__main__':`: This ensures that the app is only run when the script is executed directly (not when it's imported as a module). - `app.run(debug=True, host='0.0.0.0', port=5000)`: - `debug=True`: Enables debug mode, which provides helpful error messages and automatic reloading when you make changes to the code. **Important:** Disable debug mode in production. - `host='0.0.0.0'`: This makes the server accessible from any IP address on your network. If you only want to access it from your local machine, use `host='127.0.0.1'`. - `port=5000`: Specifies the port number the server will listen on. **How to Run:** 1. **Save:** Save the code as `server.py` (or any name you prefer). 2. **Install:** Make sure you have Flask and vnstock installed (`pip install flask vnstock`). 3. **Run:** Open a terminal or command prompt, navigate to the directory where you saved the file, and run: `python server.py` 4. **Access:** Open a web browser or use a tool like `curl` or `Postman` to access the server. For example: ``` http://localhost:5000/historical_stock_data?ticker=VIC&start_date=2023-01-01&end_date=2023-01-10 ``` **Important Considerations:** * **Error Handling:** The error handling in this example is basic. In a production environment, you'd want to implement more robust error handling, including logging to a file, sending error notifications, and potentially retrying failed requests. * **Security:** This is a very basic example and doesn't include any security measures. If you're deploying this to a public server, you'll need to consider security aspects like authentication, authorization, and input validation to prevent malicious attacks. * **Rate Limiting:** Be mindful of the API usage limits of the `vnstock` library or the underlying data source. Implement rate limiting in your server to avoid being blocked. * **Asynchronous Operations:** For handling multiple concurrent requests efficiently, consider using asynchronous frameworks like `asyncio` and `aiohttp` instead of Flask. * **Configuration:** Use environment variables or a configuration file to store sensitive information like API keys or database credentials. * **Deployment:** Consider using a production-ready web server like Gunicorn or uWSGI to deploy your Flask application. **Chinese Translation of Key Terms:** * **Stock Price:** 股票价格 (gǔpiào jiàgé) * **Historical Data:** 历史数据 (lìshǐ shùjù) * **Ticker Symbol:** 股票代码 (gǔpiào dàimǎ) * **Start Date:** 开始日期 (kāishǐ rìqí) * **End Date:** 结束日期 (jiéshù rìqí) * **Server:** 服务器 (fúwùqì) * **API:** 应用程序接口 (yìngyòng chéngxù jiēkǒu) * **JSON:** JSON 数据格式 (JSON shùjù géshì) * **Error:** 错误 (cuòwù) * **Request:** 请求 (qǐngqiú) * **Response:** 响应 (xiǎngyìng) This comprehensive example should give you a solid foundation for building your stock price API using `vnstock` and Flask. Remember to adapt it to your specific needs and consider the important considerations mentioned above.

Scrapbox Cosense MCP Server

这个服务器方便与 cosense/Scrapbox 项目进行交互，使用户能够检索、列出、搜索和创建页面，同时支持各种查询操作并安全访问私有项目。

coin-mcp-server

Okay, here's a breakdown of how to use Bitget's API to get cryptocurrency information, along with considerations and a basic example. I'll provide both the English explanation and the Chinese translation. **English Explanation** **1. Understanding the Bitget API:** * **REST API:** Bitget primarily uses a RESTful API. This means you'll be making HTTP requests (GET, POST, etc.) to specific URLs (endpoints) to retrieve data or perform actions. * **Authentication:** Some endpoints (especially those dealing with your account or trading) require authentication. This involves using API keys (a public key and a secret key) that you generate on the Bitget platform. Keep your secret key *very* safe. * **Rate Limits:** Bitget, like most exchanges, has rate limits. This restricts the number of requests you can make within a certain time period. Exceeding these limits will result in your requests being temporarily blocked. Check the Bitget API documentation for the specific rate limits. * **Documentation:** The *most important* resource is the official Bitget API documentation. Find it on the Bitget website (usually under "API" or "Developer" sections). The documentation will list all available endpoints, required parameters, response formats, and authentication details. **Always refer to the official documentation first.** **2. Basic Steps:** 1. **Get API Keys (if needed):** If you need to access private data (like your account balance or place orders), create API keys on the Bitget website. Enable the necessary permissions (e.g., "Read," "Trade"). 2. **Choose an Endpoint:** Decide what information you want. Examples: * **Market Data:** Get the current price of Bitcoin (BTC), trading volume, order book, etc. * **Account Information:** Get your account balance, order history, etc. (requires authentication). * **Trading:** Place buy/sell orders (requires authentication). 3. **Construct the Request:** Build the HTTP request to the correct endpoint, including any required parameters. This often involves creating a URL with query parameters. 4. **Send the Request:** Use a programming language (Python, JavaScript, etc.) and an HTTP client library (e.g., `requests` in Python, `axios` in JavaScript) to send the request to the Bitget API. 5. **Parse the Response:** The Bitget API will return a response, usually in JSON format. Parse the JSON to extract the data you need. 6. **Handle Errors:** Check the HTTP status code and the response body for any errors. Implement error handling in your code. **3. Example (Python using `requests` - Market Data - Public Endpoint):** ```python import requests import json # Replace with the actual Bitget API endpoint for ticker information (e.g., BTCUSDT) api_url = "https://api.bitget.com/api/spot/v1/ticker/BTCUSDT_SPBL" #Example endpoint, check documentation try: response = requests.get(api_url) response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) data = response.json() print(json.dumps(data, indent=4)) # Pretty print the JSON # Example: Extract the last price last_price = data['data']['close'] print(f"Last price of BTCUSDT: {last_price}") except requests.exceptions.RequestException as e: print(f"Error: {e}") except (KeyError, TypeError) as e: print(f"Error parsing JSON: {e}") ``` **Important Notes:** * **Security:** Never hardcode your secret API key directly into your code. Use environment variables or a secure configuration file. * **Error Handling:** Implement robust error handling to catch network errors, API errors, and JSON parsing errors. * **API Versioning:** Bitget may update its API. Pay attention to the API version in the endpoint URL (e.g., `/api/v1/`, `/api/v2/`) and update your code accordingly when necessary. * **Testing:** Thoroughly test your code in a test environment (if Bitget provides one) before using it with real funds. * **Legal:** Be aware of any legal or regulatory requirements related to using cryptocurrency exchange APIs in your jurisdiction. **Chinese Translation** **1. 理解 Bitget API:** * **REST API:** Bitget 主要使用 RESTful API。 这意味着您将向特定的 URL（端点）发出 HTTP 请求（GET、POST 等）以检索数据或执行操作。 * **身份验证:** 某些端点（尤其是处理您的帐户或交易的端点）需要身份验证。 这涉及使用您在 Bitget 平台上生成的 API 密钥（公钥和私钥）。 请 *非常* 安全地保管您的私钥。 * **速率限制:** 像大多数交易所一样，Bitget 具有速率限制。 这限制了您在特定时间段内可以发出的请求数量。 超过这些限制将导致您的请求被暂时阻止。 请查看 Bitget API 文档以获取具体的速率限制。 * **文档:** *最重要* 的资源是官方 Bitget API 文档。 在 Bitget 网站上找到它（通常在“API”或“开发者”部分下）。 该文档将列出所有可用的端点、必需的参数、响应格式和身份验证详细信息。 **始终首先参考官方文档。** **2. 基本步骤:** 1. **获取 API 密钥（如果需要）：** 如果您需要访问私有数据（例如您的帐户余额或下订单），请在 Bitget 网站上创建 API 密钥。 启用必要的权限（例如，“读取”、“交易”）。 2. **选择一个端点:** 确定您想要的信息。 例子： * **市场数据:** 获取比特币 (BTC) 的当前价格、交易量、订单簿等。 * **帐户信息:** 获取您的帐户余额、订单历史记录等（需要身份验证）。 * **交易:** 下买入/卖出订单（需要身份验证）。 3. **构建请求:** 构建到正确端点的 HTTP 请求，包括任何必需的参数。 这通常涉及创建带有查询参数的 URL。 4. **发送请求:** 使用编程语言（Python、JavaScript 等）和 HTTP 客户端库（例如 Python 中的 `requests`，JavaScript 中的 `axios`）将请求发送到 Bitget API。 5. **解析响应:** Bitget API 将返回一个响应，通常为 JSON 格式。 解析 JSON 以提取您需要的数据。 6. **处理错误:** 检查 HTTP 状态代码和响应正文是否有任何错误。 在您的代码中实现错误处理。 **3. 示例（Python 使用 `requests` - 市场数据 - 公共端点）：** ```python import requests import json # 替换为实际的 Bitget API 端点以获取行情信息（例如，BTCUSDT） api_url = "https://api.bitget.com/api/spot/v1/ticker/BTCUSDT_SPBL" #示例端点，请查阅文档 try: response = requests.get(api_url) response.raise_for_status() # 为错误的状态代码（4xx 或 5xx）引发异常 data = response.json() print(json.dumps(data, indent=4)) # 漂亮地打印 JSON # 示例：提取最新价格 last_price = data['data']['close'] print(f"BTCUSDT 的最新价格：{last_price}") except requests.exceptions.RequestException as e: print(f"错误：{e}") except (KeyError, TypeError) as e: print(f"解析 JSON 时出错：{e}") ``` **重要提示:** * **安全:** 永远不要将您的秘密 API 密钥直接硬编码到您的代码中。 使用环境变量或安全配置文件。 * **错误处理:** 实现强大的错误处理以捕获网络错误、API 错误和 JSON 解析错误。 * **API 版本控制:** Bitget 可能会更新其 API。 注意端点 URL 中的 API 版本（例如，`/api/v1/`、`/api/v2/`），并在必要时相应地更新您的代码。 * **测试:** 在将您的代码用于真实资金之前，请在测试环境中彻底测试您的代码（如果 Bitget 提供）。 * **法律:** 请注意您所在司法管辖区与使用加密货币交易所 API 相关的任何法律或监管要求。 **Key Takeaways:** * **Read the Documentation:** The Bitget API documentation is your bible. * **Start Simple:** Begin with public endpoints (no authentication required) to get familiar with the API. * **Handle Errors:** Robust error handling is crucial. * **Security First:** Protect your API keys. I hope this comprehensive explanation and example are helpful! Remember to consult the official Bitget API documentation for the most up-to-date information. Good luck!

REI3 Tickets MCP Server

Enables AI assistants to create tickets and worklog entries in REI3 ticket management systems through the REI3 Tickets API. Supports secure authentication and provides natural language interface for ticket operations.

Ros_mcp_server

ROS MCP 服务器旨在通过提供一组允许精确控制线性和角速度的函数，来促进机器人运动的控制。

Gmail MCP

Enables comprehensive Gmail management through the Gmail API, including sending/receiving emails, organizing labels and threads, managing drafts, and configuring account settings with secure OAuth2 authentication.

GitLab MCP Server

一个 MCP 服务器，能够与 GitLab 仓库进行通信，允许通过自然语言与 GitLab 的 API 交互，从而管理项目、问题和仓库。

MCP Web Research Agent

Enables automated web research and intelligence gathering through recursive web crawling, multi-engine search integration, and persistent SQLite storage with support for keyword filtering and multiple export formats.

DuckDuckGo MCP Server

一个通过模型上下文协议提供 DuckDuckGo 搜索功能（文本、图片、新闻、视频搜索和 AI 聊天）的服务器。

mcp-server-macos-use

能够使用操作系统级别工具控制计算机的人工智能代理，兼容 MCP，并且可以与任何模型一起使用。

Date-MCP Server

A Model Context Protocol service that handles date and time conversions for China's timezone (UTC+8), supporting current date retrieval, timestamp conversions, and date-time formatting.

LSP MCP Server

Provides code refactoring capabilities for TypeScript/JavaScript and Python through Language Server Protocol integration. Enables renaming symbols, extracting functions, finding references, and moving code between files via natural language commands.

email-mcp

using aigeon.ai as ESP to send emails