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NinjaDoc Ai
The MCP server for document extraction AI agents can cite
We just shipped our MCP Server — add Ninjadoc to Claude, Cursor, or any MCP agent in seconds. The problem: agents read PDFs but can't prove where answers came from. Which page? Which line? Ninjadoc fixes this — every answer includes a citation URL to the exact source. 🔗 Citation URLs on every answer 📍 Bounding boxes on every field 💬 Plain English, no templates 💸 Pay-as-you-go, 250 credits per dollar
Hey PH! 👋
We've been heads-down building the document layer AI agents have been missing.
The question we kept hearing: "My agent extracted this — but how do I know it's right?"
That's why we shipped our MCP Server. Drop Ninjadoc into Claude or Cursor in one config line, and every answer your agent returns comes with a citation URL — a direct link to the exact source region in the document.
No more "trust me, the AI said so." Every extraction is provable by default.
We've seen teams use this for contracts, invoices, medical records, and compliance docs — anywhere you need to show your work, not just the answer.
What document problems are you solving with AI agents? Would love to hear what you're building 🙏
About NinjaDoc Ai on Product Hunt
“The MCP server for document extraction AI agents can cite”
NinjaDoc Ai was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #134 on the daily leaderboard. We just shipped our MCP Server — add Ninjadoc to Claude, Cursor, or any MCP agent in seconds. The problem: agents read PDFs but can't prove where answers came from. Which page? Which line? Ninjadoc fixes this — every answer includes a citation URL to the exact source. 🔗 Citation URLs on every answer 📍 Bounding boxes on every field 💬 Plain English, no templates 💸 Pay-as-you-go, 250 credits per dollar
On the analytics side, NinjaDoc Ai competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how NinjaDoc Ai performed against the three products that launched closest to it on the same day.
Who hunted NinjaDoc Ai?
NinjaDoc Ai was hunted by Diego Viteri. 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 NinjaDoc Ai including community comment highlights and product details, visit the product overview.
Diego Viteri