Turn files into usable data instantly. The fileAI MCP server gives AI agents secure access to your files with AI OCR, classification, and schema-based extraction — all through the Model Context Protocol.
Sometimes OCR results aren’t very accurate when the text is small or the format is too free-form. I’m looking forward to better quality improvements on that front.
what a fantastic product! workflows don't break anymore because of slight changes, its super easy to modularise components.
Works great from Cursor, but also called it from Postman and it held up fine.
Tried this across a few types of docs (contracts, receipts, forms) — the classification layer is 🔥
Zero-shot OCR that actually works across messy layouts, handwritten notes, and even multi-language docs. The MCP + API integration makes it super easy to plug into workflows. Big time-saver.
Turn files into usable data instantly. The fileAI MCP server gives AI agents secure access with OCR, smart classification, and schema-based extraction. Built on the Model Context Protocol, it’s structured intelligence from your docs, on demand.
This looks great! Just trying to grasp the multiple use-cases one can get out of this.
Hi All - Here's what I think - and what I am hearing from my prospects in North America. By adopting the open-source MCP standard, and simplifying the integration of an AI-powered file processing pipeline with other AI models and applications becomes a huge differentiator in today's market!
There are problems that feel "solved," but when you need something truly reliable, you realize it's not that straightforward. Awesome to see file intelligence optimized for agent usage! Amazing work @fileAI 🔥🔥
Super cool 👏 Curious, are folks using this more for compliance checks or ops workflows like claims and triage?
What stands out is the combination of security with real processing. Most tools compromise on one or the other but this seems to prioritize both, which really matters when handling sensitive or large-scale documents.
Structured output in one prompt? Huge time saver — especially when you’re building fast.
Congrats on the launch! 🚀 The compliance and research assistant use cases sound super practical. Love how MCP makes file workflows feel effortless curious to see what other industries will adopt this quickly.
💬 “How can we plug fileAI into our internal tools?”
💬 “Do we really need custom integrations to get started?”
Now the answer is: you don’t need to!
I really like the idea of giving AI agents secure, real access to files. Turing messy documents into structured data instantly with OCR and classification feels like a real preoductivity change.
Used this to extract data from some horribly scanned PDFs — surprisingly accurate even with poor contrast. Great job to the team!!
Curious to see how this evolves! Agentic workflows + file ingestion are such a good match.
Let's go PH fam!! We are building fast and furious, please share your comments or reach out to us directly for feedback. MCPs have huge potential to transform the way we build, fetching data across systems is still early stage, but we are making big steps into the right direction!
Hey PH! I'm Jing En, Product Marketing Manager at fileAI.
One of the most exciting things about building our MCP server has been seeing how it goes beyond simple OCR → JSON and plugs directly into agentic workflows. A few early use cases we’ve been testing:
Compliance checks → An agent pulls contracts from fileAI’s drive, extracts renewal dates and jurisdictions, checks them against policy rules, and writes a compliance report straight into Notion + email.
Claims triage → Insurance claims are classified automatically, key fields extracted, and high-value cases routed to Slack for review while low-value ones are auto-approved.
Research assistant → PDFs are parsed into structured abstracts + findings, summarized, and dropped into Notion/Slack for collaboration.
All of these happen in one natural language prompt — no manual wrangling of workflows and APIs.
My question for y'all: if you had instant, structured access to your documents through MCP, what’s the first workflow you’d want to automate?
Sometimes OCR results aren’t very accurate when the text is small or the format is too free-form. I’m looking forward to better quality improvements on that front.
I’ll give it a try!