发现优秀的 MCP 服务器

Hugo MCP Server

一个强大的 MCP (模型控制协议) 服务器，用于管理 Hugo 静态站点生成器。

android-mcp

A lightweight MCP server for Android operating system automation. This server provides tools to interact directly with Android devices and app interaction with control

MCP Server for Quran.com API

镜子 (jìng zi)

Uranium MCP Server

Enables LLMs to create and manage NFT collections and assets through the Uranium platform. Supports uploading media files, minting NFTs, and managing ERC721/ERC1155 collections on the blockchain.

Etherscan MCP Tool

一个工具，使用户能够与区块链数据交互，以检索不同区块链网络上的代币总供应量、链 ID 和经过筛选的 RPC 端点。

OmniMCP

A semantic router that provides unified access to multiple MCP servers through a single tool interface, using vector search to discover and execute tools across your entire MCP ecosystem while minimizing context token usage.

PySqlitMCP

Enables comprehensive SQLite database management through natural language, including database creation, table operations, data CRUD operations, backup/restore functionality, and CSV import/export capabilities.

MCP Server: Youtube Subtitles Extractor

这是一个 MCP 服务器，用于从给定的 YouTube 链接中提取字幕。

Vonage AI Assist MCP Server

一个简单的 MCP 服务器，用于辅助在 Claude Desktop/Claude Code 中进行 AI 代码生成，始终基于最新的 Vonage SDK 和 API。

mcp-server-vanmoof

VanMoof 自行车的 MCP 服务器

FrankfurterMCP

A MCP server for the Frankfurter API for currency exchange rates.

MCP Server Sentry

一个使用 TypeScript 实现的模型上下文协议（Model Context Protocol）服务器，该服务器连接到 Sentry 错误跟踪服务，允许 AI 模型查询和分析错误报告和事件。 (Alternatively, a slightly more formal translation:) 一个用 TypeScript 编写的模型上下文协议服务器，它与 Sentry 错误跟踪服务建立连接，从而使 AI 模型能够查询和分析错误报告和事件。

Snipe-IT MCP Server

Enables AI assistants to manage Snipe-IT inventory systems through comprehensive asset and consumable operations. Supports creating, updating, tracking, and managing IT assets, consumables, maintenance records, file attachments, and generating labels.

MCP File System Server

A Model Context Protocol server that provides secure, sandboxed file system operations including reading, writing, and managing files within a configurable base directory. It features robust path traversal protection to ensure all file interactions remain confined to a safe, restricted environment.

Threads MCP Server

An MCP server that exposes Threads CLI data for managing hierarchical threads, containers, and progress logs. It enables users to create, organize, and track task history while maintaining compatibility with the Threads CLI storage.

Chuck Norris Jokes MCP Server

A simple MCP server that provides a tool called 'chistecitos' to fetch random Chuck Norris jokes from a public API.

Fetch MCP

使用 Playwright 无头浏览器获取网页内容的 MCP 服务器。

Fathom Video MCP Server

Provides access to Fathom meeting recordings, enabling users to list meetings with filters, retrieve AI-generated summaries, and access full transcripts with speaker attribution and timestamps.

AI-Persona

An MCP protocol server that supports multi-AI personality summoning and collaboration, which can be used for intelligent collaboration in multiple scenarios such as code analysis and product design.

MIDI File MCP

一个强大的 MCP 工具，用于解析和操作 MIDI 文件，它允许用户通过自然语言命令读取、分析和修改 MIDI 文件，支持读取文件信息、修改音轨、添加音符和设置速度等操作。

Remote MCP Server Authless

A deployable MCP server on Cloudflare Workers that doesn't require authentication, allowing users to create and use custom AI tools through the Model Context Protocol.

Trafilatura MCP Server

Enables web scraping and content extraction from URLs using the Trafilatura library. Extracts main text content and metadata (title, author, date) from web pages with configurable options for comments and tables.

Taiwan Central Weather Administration MCP Server

一个与台湾中央气象局 (CWA) API 接口的模型上下文协议 (MCP) 服务器。

Better Fetch

A Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.

Decision Tree MCP Server

一个 Node.js MCP 服务器，它从 .rtdq 文件加载和管理决策树，并使用 Redis 作为存储提供基本的待办事项列表功能。

Perplexity MCP Server

Okay, I understand. You want to perform a web search using Perplexity to get information for an MCP (presumably a topic you'll provide later), and you want to do this *without* using any API keys. Here's the breakdown of why that's tricky and what options you *might* have, along with their limitations: **Why It's Difficult (and why API keys exist):** * **Perplexity's Design:** Perplexity is designed to be accessed primarily through its official website or its API. The API is the intended way for developers to programmatically access its search and summarization capabilities. APIs are protected by API keys to: * **Control Usage:** Prevent abuse and ensure fair access to resources. * **Track Usage:** Monitor how the service is being used for billing and performance analysis. * **Enforce Terms of Service:** Ensure users adhere to the rules of the platform. * **Web Scraping Challenges:** The alternative to using an API is web scraping (programmatically extracting data from a website). This is generally discouraged and can be problematic: * **Terms of Service Violation:** Most websites (including Perplexity) explicitly prohibit scraping in their terms of service. Violating these terms can lead to your IP address being blocked. * **Website Structure Changes:** Websites change their HTML structure frequently. A scraper that works today might break tomorrow. * **Rate Limiting:** Websites often implement rate limiting to prevent scrapers from overloading their servers. You'll likely be blocked if you make too many requests too quickly. * **Ethical Considerations:** Scraping can put a strain on the website's resources and potentially disrupt service for other users. **Possible (But Limited and Potentially Unreliable) Approaches:** 1. **Manual Search and Copy-Pasting:** * **How it works:** The simplest approach is to manually go to the Perplexity website (perplexity.ai), enter your MCP search query, and then copy and paste the results into your own document or application. * **Pros:** No code required, avoids violating terms of service. * **Cons:** Extremely tedious and time-consuming for anything beyond a few searches. Not automated. 2. **Very Basic Web Scraping (Use with Extreme Caution):** * **Disclaimer:** I strongly advise against this unless you understand the risks and are prepared to deal with potential blocking or legal issues. *Only use this for very small, infrequent, and non-commercial purposes.* * **How it *might* work (but likely won't for long):** * **Inspect the Perplexity Website:** Use your browser's developer tools (usually by pressing F12) to examine the HTML structure of the Perplexity search results page. Identify the HTML elements that contain the search results you want (e.g., `<div>` tags, `<p>` tags, etc.). * **Use a Web Scraping Library:** Use a Python library like `requests` to fetch the HTML content of the Perplexity search results page for your query. Then, use a library like `Beautiful Soup` to parse the HTML and extract the data you identified in the previous step. * **Example (Conceptual - Likely to Break):** ```python import requests from bs4 import BeautifulSoup query = "Your MCP Search Query Here" # Replace with your actual query url = f"https://www.perplexity.ai/search?q={query}" #This is a guess at the URL structure try: response = requests.get(url) response.raise_for_status() # Raise an exception for bad status codes (404, 500, etc.) soup = BeautifulSoup(response.content, "html.parser") # **THIS IS THE TRICKY PART - YOU NEED TO FIND THE RIGHT HTML ELEMENTS** # Example: Let's say the search results are in <div> tags with class "result-item" results = soup.find_all("div", class_="result-item") for result in results: # Extract the text from each result (adjust based on the actual HTML) text = result.text.strip() print(text) except requests.exceptions.RequestException as e: print(f"Error: {e}") except Exception as e: print(f"An unexpected error occurred: {e}") ``` * **Pros:** Potentially automates the search process (but very fragile). * **Cons:** * **High risk of being blocked.** * **Very likely to break due to website changes.** * **Potentially violates Perplexity's terms of service.** * **Requires programming knowledge.** * **No guarantee of accurate or complete results.** **Important Considerations:** * **Ethical Scraping:** If you absolutely must scrape, be respectful: * **Identify Yourself:** Set a `User-Agent` header in your `requests` call to identify your script and provide contact information. * **Rate Limiting:** Introduce delays between requests (e.g., using `time.sleep()`) to avoid overloading the server. * **Check `robots.txt`:** Examine the website's `robots.txt` file (e.g., `perplexity.ai/robots.txt`) to see if there are any specific rules about which pages you are allowed to crawl. * **Consider Alternatives:** Before resorting to scraping, explore other search engines that might offer more accessible APIs or data feeds (even if they aren't exactly Perplexity). **In summary, performing a Perplexity web search without an API key is highly discouraged and comes with significant risks and limitations. The manual approach is the safest, but the least efficient. Web scraping is technically possible, but ethically questionable and practically unreliable.** To give you a more specific answer, please tell me: 1. **What is the MCP you want to search for?** 2. **What is the *purpose* of this search?** (e.g., personal research, academic project, commercial application). This will help me understand the context and suggest more appropriate solutions. 3. **What is your level of programming experience?** Once I have this information, I can provide more tailored advice. However, I must reiterate that I cannot endorse or assist with any activity that violates a website's terms of service.

Dynalist MCP Server

Enables Claude and other AI assistants to read, write, and manipulate Dynalist.io documents programmatically, including operations like searching, editing nodes, bulk importing from markdown, and managing document structure.