MCP server for browser research on the anti-detect Camoufox browser: search, JS/SPA page reading, batch fetch, live sessions, cache
Browser research toolkit for AI agents, exposed through MCP.
Search the web. Read JS-heavy pages. Interact with websites. Extract data. Monitor changes. Give your AI agent a real browser.
Most MCP servers can read the web. This one can live in it: open pages, click, type, fill forms, upload files, watch network traffic, take labeled screenshots, crawl whole sites, extract tables, monitor changes — and hand all of it to your agent through MCP (stdio, HTTP, or SSE).
Most MCP browser tools give an agent isolated actions. Here the goal is different: a complete toolkit for web research — one server your agent can use end to end.
- 🔎 Search — find sources (DuckDuckGo via anti-detect browser, deep research with 10+ sources) - 🌐 Browse — read JS/SPA pages, live sessions with tabs, clicks, forms, uploads - 👁️ Understand pages — labeled screenshots (Set-of-Mark), snapshot trees with refs - 📊 Extract & export — fields by CSS/XPath, tables → CSV, PDF/DOCX/XLSX, JSON/Markdown files
"Find all pricing pages on this website, extract the prices and save them to CSV."
No browser automation code. Just a sentence to your agent.
🔎 Research — "Find information about this project, check 10 sources and summarize." research → fetchpage → export
🕷 Crawl — "Walk the whole site and find every documentation page." sitemap → crawl / mapsite
📊 Extract — "Collect prices from the table and save as CSV." extract / tableextract → export
From the project README.
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An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents.
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