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Web Researcher MCP
The AI research assistant that cites real sources honestly
Search the entire web or narrow it down to just the sites you trust; medical journals, court databases, news outlets, academic papers. Analyze the full source, not just snippets. Links that work, citations you can trust, no made up closed garden pre-synthesized results. Your AI links to papers that don't exist, invents DOIs, and presents SEO spam with the same confidence as peer-reviewed research. It can't even tell a blog post from a court filing. This MCP solves it.
Hey PH! I built web-researcher-mcp after watching AI assistants confidently cite papers that don't exist — or worse, cite real papers that were retracted years ago.
The problem: most AI research tools just search and summarize. None of them check whether what they found is actually true.
So I built the verification layer: citation verification against live DOI records, retraction detection via Crossref Retraction Watch, dead-link archiving via Wayback Machine, and full bibliography audit (BibTeX/RIS/CSL-JSON). Plus 35+ search tools — web, academic, patent, legal, financial data.
It's a single Go binary, zero config, works with Claude, Cursor, or any MCP client. MIT licensed.
Would love to hear how researchers and developers are using it — and what verification gaps you're still hitting!
About Web Researcher MCP on Product Hunt
“The AI research assistant that cites real sources honestly”
Web Researcher MCP was submitted on Product Hunt and earned 19 upvotes and 2 comments, placing #16 on the daily leaderboard. Search the entire web or narrow it down to just the sites you trust; medical journals, court databases, news outlets, academic papers. Analyze the full source, not just snippets. Links that work, citations you can trust, no made up closed garden pre-synthesized results. Your AI links to papers that don't exist, invents DOIs, and presents SEO spam with the same confidence as peer-reviewed research. It can't even tell a blog post from a court filing. This MCP solves it.
On the analytics side, Web Researcher MCP competes within Open Source, Artificial Intelligence, GitHub and Search — topics that collectively have 601k followers on Product Hunt. The dashboard above tracks how Web Researcher MCP performed against the three products that launched closest to it on the same day.
Who hunted Web Researcher MCP?
Web Researcher MCP was hunted by Zohar Babin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Web Researcher MCP including community comment highlights and product details, visit the product overview.
Zohar Babin