"A tool for finding information about Zotero, the free reference management software" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

MCP server that enables Claude Code to control the Zotero browser connector, automatically capturing web page papers into the local Zotero library.

A local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.

This MCP server enables free web search and page content extraction using real browsers, with support for multiple search engines and stealth browser backends. It provides tools for searching, fetching pages, and setting up the Camoufox stealth browser.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Enables free keyword research by pulling autocomplete suggestions, Google Trends, Bing search volume, Reddit threads, and competitor sitemaps, with volume estimation and keyword organization for use in Claude, Cursor, and other MCP clients.

Enables AI agents to search the web, read any page as clean markdown, and query Wikipedia, Hacker News, and GitHub without API keys or per-call credits. It exposes these sources as unified MCP tools and can also be self-hosted over HTTP or used as a library.

A Playwright-based browser automation tool for AI agents, enabling web search, navigation, scraping, and page interaction through the Model Context Protocol.

A universal MCP tool gateway that manages multiple remote tool processes, enabling LLMs to dynamically invoke web scraping, summarization, and knowledge retrieval through standardized Function Calling.

Enables developers to search and retrieve captured UI and interaction cases by their intended purpose during coding sessions, making reproduced design references directly available to coding agents.

Enables searching Bluesky, Substack, and Hacker News content via structured APIs with optional x402 micropayments or API key authentication.

A Managed Component Provider that enables fetching webpage content using Jina AI's reader service.

Enables lightweight web search discovery and on-demand extraction of cleaned page text from supplied URLs, returning snippets, headings, links, and saved full text for longer pages.

Enables any MCP client to run keyless multi-engine web searches with RRF fusion, fetch pages and documents as Markdown, and full-text search a local SQLite index. It keeps queries and cached content on the user's machine, degrading gracefully across engine tiers when providers are blocked or rate-limited.

A Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

Pools multiple configured search provider API keys behind a single endpoint and exposes MCP tools for web search and document reading, enabling agents to keep searching when individual quotas are exhausted and fetch HTML/PDF content as Markdown.

Provides web crawling and browser automation capabilities with support for multiple content formats (HTML, JSON, PDF, screenshots, Markdown), page content extraction, console message monitoring, and network request tracking.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

Enables AI agents to search the web and fetch webpage content as clean text via MCP, with optional headless rendering for dynamic pages.

Enables AI assistants to access real-time web data through search, markdown scraping, and browser automation while bypassing anti-bot protections. It provides tools for web research, e-commerce monitoring, and data extraction from across the globe.

Lets an MCP client read allowlisted pages from the LiveSwapFace website, retrieve its official links, and estimate credits for a planned browser session using rates fetched at call time. It is read-only and never performs face swaps, signs in, uploads media, or touches a private API.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Provides comprehensive SEO analysis by crawling websites and generating AI-powered keyword insights, search volume data, and competitor strategies. It delivers detailed reports on keyword clusters and commercial intent to help optimize digital marketing workflows.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

Lets AI agents drive a headless Chromium browser to open URLs, click, type, select options, read text/HTML, evaluate JavaScript, wait for elements, and capture real PNG screenshots. A persistent single session keeps cookies and SSO state across tool calls, and an optional live view mirrors pages in VS Code's integrated browser tab.

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.