Discover Awesome MCP Servers

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.

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.

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.

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 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.

PromptQL MCP Server

用于 Hasura PromptQL 的模型上下文协议 (MCP) 服务器

SAP BTP ABAP ADT MCP Server

Enables SAP ABAP development workflows including ADT login, object search, read, create, update, activate, delete, and OData service publishing.

Clous MCP server

Provides access to SEC/EDGAR filings data through the Clous API, enabling search and retrieval of filings, financials, insider trades, 13F holdings, and more from a single JSON interface.

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.

vcenter-mcp

Provides tools to list, create, power on/off, and delete VMs on vCenter or ESXi hosts using natural language.

reddit-mcp

Provides access to public Reddit data through tools for searching subreddits, viewing posts, and reading comments without requiring authentication. It enables Model Context Protocol clients to interact with Reddit's public JSON API via stdio or HTTP transports.

XRPL Agent Wallet MCP

Provides secure, policy-controlled wallet infrastructure for AI agents to autonomously manage XRP Ledger wallets and sign transactions. It features a tiered security model with encrypted key storage, a declarative policy engine, and full audit trails for compliance.

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.

godot-mcp-docs

Provides AI assistants with access to the complete Godot Engine documentation, enabling developers to get answers about Godot classes, tutorials, and features directly in their chat interface.

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.

TickerAPI

Pre-computed financial market intelligence for AI agents. Stocks, crypto, and ETFs.

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.

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.

e-Stat MCP server

MCP server for accessing Japanese government statistics portal 'e-Stat' API, enabling language models to search and retrieve statistical data.

MCP Server Hub / Gateway

这个项目提供了一个中心网关来管理多个 MCP（模型上下文协议）服务器，从而避免了为每个 LLM 客户端（如 Cline、Cursor 等）配置和运行重复服务器进程的需求。 将您的 LLM 客户端连接到此项目提供的单个网关客户端端点，即可访问来自所有受管理的 MCP 服务器的工具。

firstcall-demo-mcp-server

A read-only MCP server generated by FirstCall that looks up public GitHub user profiles by username. It demonstrates FirstCall-generated MCP artifacts with inputSchema, outputSchema, structuredContent, and tool annotations.

Debate Agent MCP

Enables multi-agent code review with P0/P1/P2 severity scoring by orchestrating locally installed AI CLIs (Claude, Codex) to perform parallel analysis, deterministic scoring, and consensus-building on git diffs.

agentic-mcp-server

Enables a fully local multi-agent AI system with 45 specialized agents and 50 predefined workflows via MCP, powered by Ollama and requiring no internet.

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.