Discover Awesome MCP Servers
Extend your agent with 16,118 capabilities via MCP servers.
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YNAB MCP Server
An MCP server that provides Large Language Models with access to YNAB (You Need A Budget) budgets, allowing them to fetch budget data including accounts, categories, and category groups.
Python MCP Server Template
A template repository for creating custom Model Context Protocol (MCP) servers in Python that can be integrated with applications like Claude Desktop or Cursor.
MCP SysOperator
A Model Context Protocol server enabling AI assistants to directly interact with infrastructure tools like Ansible and Terraform for executing playbooks, managing cloud resources, and performing other infrastructure operations.
MCP Server for apple calendar
A simple mcp-server to add calendar events
Model Context Protocol (MCP) Tips and Best Practices
以下是一些使用模型上下文协议 (MCP) 服务器的技巧和最佳实践: (Yīxiē shǐyòng móxíng shàngxiàwén xiéyì (MCP) fúwùqì de jìqiǎo hé zuìjiā shíjiàn:) Alternatively, a more concise translation: 使用模型上下文协议 (MCP) 服务器的技巧和最佳实践 (Shǐyòng móxíng shàngxiàwén xiéyì (MCP) fúwùqì de jìqiǎo hé zuìjiā shíjiàn)
Perplexity 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.
mcp-rag-server - RAG MCP Server
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。
Tessie MCP Extension
Enables Claude Desktop to access Tesla vehicle data through the Tessie API. Users can query their car's location, battery level, mileage, driving history, and charging status using natural language.
MIDI File MCP
A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.
Context7 MCP Server (
一个非官方的、由 Upstash 提供的 Context7 MCP 服务器。
Mender MCP Server
Enables AI assistants to interact with Mender IoT platform for device management, deployment monitoring, and fleet analysis through natural language commands. Provides read-only access to device status, deployment logs, releases, and system monitoring capabilities.
Twitch-MCP-Smithery
A comprehensive Twitch MCP (Model Context Protocol) server providing chat moderation, stream management, and Twitch API integration for AI systems.
MCP Travel Concierge Server
Enables comprehensive travel planning by integrating Google Travel Services and Amadeus GDS for dual flight and hotel searches, plus event discovery, weather forecasting, currency conversion, and location services. Combines consumer-friendly search with professional travel industry data for optimal trip planning.
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.
AWS Advisor MCP Server
Provides AWS service recommendations based on use case descriptions and allows browsing AWS services organized by categories. Helps users discover the most suitable AWS services for their specific technical requirements.
Amadeus MCP Server
Amadeus MCP (模型上下文协议) 服务器
mcp-server-flyder
Flyder 的 MCP 服务器
mcp-server-vanmoof
VanMoof 自行车的 MCP 服务器
Cua Agent
Vapi MCP Server
镜子 (jìng zi)
ScottOS MCP Calendar Server
Enables ChatGPT to interact with Google Calendar through a remote MCP server. Provides tools to list, create, update, and delete calendar events with OAuth authentication.
Remote MCP AuthKit
Enables remote MCP client connections with WorkOS AuthKit authentication and organization-based permission control. Demonstrates how to gate tool access based on user permissions, including features like image generation behind specific authorization checks.
Remote MCP Server on Cloudflare
MCP Weather Server
A demonstration MCP server created for learning purposes, allowing Claude AI to interact with local files and a Postgres database while implementing a custom Model Context Protocol.
KIMP MCP Server
Enables users to query Kimchi Premium (KIMP) data for cryptocurrencies, showing the price difference between Korean and international exchanges for assets like Bitcoin and Ethereum.
Edge-TTS MCP Server
A Model Context Protocol server that provides text-to-speech functionality for AI agents using Microsoft Edge's text-to-speech technology, supporting multiple voices, languages, and voice customization.
Contentful
A Model Context Protocol (MCP) server that provides AI assistants with comprehensive tools to interact with Contentful APIs.
PromptQL MCP Server
用于 Hasura PromptQL 的模型上下文协议 (MCP) 服务器
Electron Terminal MCP Server
A Model Context Protocol server that enables clients to interact with a system terminal running in an Electron application, allowing for executing commands, managing terminal sessions, and retrieving output programmatically.