"How to use make.com" matching MCP servers:

An MCP server for automating browser tasks using the Browser Use API. Provides tools to run, monitor, and manage browser automation tasks.

Launches multiple Browser-Use agents to automatically test websites for UI bugs, broken links, accessibility issues, and other technical problems on both live and localhost sites.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

MCP server for searching Tokopedia products, retrieving product details and reviews, designed for use from LLM clients like Claude Desktop.

Web search, crawling and ranking evaluation on your own YaCy peer: no API key, no central service. Results carry author-signature verdicts and declared tags.

Enables AI-powered web browsing automation using Google's Gemini 2.5 Computer Use API. Allows agents to navigate websites, click buttons, fill forms, and extract information through natural language commands with real-time progress tracking.

Pay-per-use clean web reader for AI agents. URL in, markdown plus metadata out, in milliseconds. Settled per-call in USDC over x402 — no signup, no API keys.

Offline-first MCP server for TwitterAPI.io docs (endpoints, pages, blogs) with fast fuzzy search.

Enables AI agents to search Dutch housing listings on Kamernet.nl, retrieve full listing details, and optionally reply to landlords; designed for personal use in finding rooms, studios, and apartments.

A local TypeScript MCP server for macOS that connects to Chrome via CDP to search and download high-quality image candidates from curated sources like Unsplash, Pexels, and others for use in posters, wallpapers, and inspiration boards.

Enables agents to fetch URL content as plain text or pretty-printed JSON, with optional pay-per-use monetization through Vybe Collect.

A basic MCP server setup guide demonstrating how to configure and run Python-based MCP servers with integration examples for Bright Data web scraping and Apify Actors for product data collection.

MCP server that lets AI agents perform Google AI Mode searches using the user's own browser session, returning synthesized answers with citations.

Provides AI access to Korea's land use planning, urban regulations, and permit information through natural language queries. It integrates tools for land analysis, regulation verification, and public notice scraping to prevent hallucinations in property-related AI applications.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

Browser control for Claude Code, on Firefox.

MCP server for fetching daily hot lists from 30+ sources with built-in caching and batch requests.

Enables AI agents to scrape, search, map, and crawl the web through residential proxies with real-browser TLS fingerprints, and to generate ready-to-use proxy endpoints of various types for any HTTP client.

Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.

Enables AI agents to automate browsers locally through validated declarative scripts that perform Playwright actions, extraction, and assertions, while optional bounded decisions use configured inference providers without exposing page state or secrets.