Discover Awesome MCP Servers

Scholar Sidekick

Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.

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.

EdgeOne Pages MCP Server

Enables AI assistants to deploy and manage static websites directly through EdgeOne Pages. This self-hosted solution allows for direct file management and website hosting using EdgeOne's infrastructure and KV storage.

Confluence Knowledge Base MCP Server

Turns Confluence documentation into an AI-powered knowledge base, enabling natural language questions about your systems with answers retrieved from your actual documentation through semantic search.

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.

Finsliparn

Transforms single-attempt coding into a multi-attempt, test-validated refinement loop by running your actual test suite and feeding failures back to the LLM as structured directives.

okx-trade-mcp

MCP server connecting AI assistants to OKX exchange, enabling trading, market data, account management, and more via 150+ tools across 11 modules.

MCP Google Maps

Provides access to Google Maps API functionality including places search, geocoding, directions, distance matrix, elevation data, and static map generation through the MCP interface.

X (Twitter) MCP server

X (Twitter) MCP server

Quilt MCP Server

Enables searching, analyzing, and managing data packages in a Quilt data catalog through natural language, with 84+ tools including package CRUD operations.

MCP PDF Server

Provides tools for extracting text, performing OCR on scanned documents, and retrieving images from PDF files. It enables Model Context Protocol clients to process PDF content page-by-page through specialized extraction tools.

ffmpeg-mcp

An MCP server that provides 17 FFmpeg-based tools for video and audio processing, including conversion, compression, and editing. It enables AI assistants to perform complex media tasks like extracting audio, adding watermarks, and merging videos using natural language.

Archicad MCP Server

Enables MCP clients like Claude to interact with Graphisoft Archicad through the Tapir add-on's JSON commands. Supports automated Archicad operations and custom tool integration for architectural design workflows.

Chromate MCP

A Model Context Protocol server for Chrome tab automation using the Chrome DevTools Protocol, enabling AI agents to select tabs, capture screenshots, and interact with web pages via CSS viewport coordinates.

Megahorn

A Go CLI and MCP server for cross-posting to Twitter, LinkedIn, and Reddit from your terminal or AI agents, with secure local credential storage.

BYTE Protocol

Per-byte data marketplace for AI agents on Arbitrum. Discover publishers, evaluate on-chain Proof-of-Quality Score (PQS), subscribe + pay per request in USDC via the x402 gateway. 13 tools, no API keys, live testnet.

read-docs-mcp

A Model Context Protocol server that enables AI agents to access, search, and understand structured package documentation and source code from Git repositories. It automatically generates specialized tools to browse module overviews, components, and detailed documentation for technical libraries.

Jina AI MCP Server

Provides access to Jina AI's Search Foundation APIs for embeddings, web search, content extraction, reranking, classification, and semantic text segmentation.

Obsidian MCP Server

Provides LLM agents with comprehensive access to Obsidian vaults via the official Obsidian CLI bridge. It enables users to read, search, and modify notes, tasks, properties, and plugins while the Obsidian desktop app is running.

mcp-bring

Enables AI assistants to read and manage your Bring! shopping lists through natural language commands like adding items, marking purchases, and retrieving list contents.

SimBrief Flight Planning MCP Server

Enables access to SimBrief flight planning data through Claude Desktop with secure Google OAuth authentication. Provides tools to retrieve flight plans, dispatch briefings, NOTAMs, weather data, and other aviation planning information.

ton-mcp

这个 MCP 服务器允许你与 TON 区块链进行交互。

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.

SpecLinter MCP

An AI-powered tool that transforms natural language specifications into structured, actionable development tasks with quality grading and Gherkin test scenarios. It also features semantic similarity detection to prevent duplicate work and validates implementations against original requirements.

@ibarcarty/mcp-server-google-drive

An MCP server for managing Google Drive, Docs, Sheets, and Slides with full read/write operations, rich markdown formatting, and 27 tools for file and permission management.

Context7 MCP

Provides up-to-date, version-specific documentation and code examples for libraries and frameworks directly into AI prompts, eliminating outdated code generation and hallucinated APIs.

Octagon Deep Research MCP

Provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents, offering unlimited queries with no rate limits and faster performance than comparable services.

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.

MCP OCR Server

High-performance OCR server using native Tesseract (C++) for text extraction from images, integrable with ChatGPT Desktop and other MCP clients.

Daft.ie MCP Server

An MCP server that enables interaction with the Daft.ie API for searching rental properties and retrieving detailed information about specific rental listings.