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.
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?
@jingen_fileai Great examples of use cases. The Claims triage is probably my favorite.
Report
@jingen_fileai Love these examples! For startups, I see huge value in automating the extraction and comparison of key details from legal contracts. There’s so much dense legal and financial language to parse and having an assistant that can surface, compare, and explain the essentials would save a ton of time!
Hey there Product Hunt, it's Tim again, Head of Product & Engineering at fileAI. Thrilled to be here with our second launch.
We built the fileAI MCP Server because we kept seeing the same problem: agents are powerful, but without easy access to accurate, reliable data, they're more like to stall or fail at their tasks. fileAI's MCP Server goes a long way to fix that by making file parsing, AI OCR, and schema extraction something any developer or enterprise can drop straight into their workflow.
Agentic AI is moving fast, but it needs the right infrastructure to actually work in production. That’s what we’re aiming to deliver with our fileAI MCP Server.
I’ll be here throughout the launch answering questions, hearing your feedback, and swapping ideas on how you’d use MCP in your own projects. Excited to be part of the conversation!
PS: you can also join the conversation with our growing builder community on Discord https://discord.gg/jQZxvPy9uX our product team will be here all day
Today we’re excited to share the fileAI MCP server. AI agents are powerful — but without access to the right data, they struggle. Our MCP server changes that by giving agents secure, real-time access to your files, complete with AI OCR, classification, and schema-based field extraction.
Why MCP? The Model Context Protocol is like a universal port for AI agents: plug in once, and they can instantly discover and use the tools they need — no brittle connectors or custom code.
We built this because developers (and our enterprise customers) wanted a faster, simpler way to integrate fileAI into their workflows.
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!
Report
Curious to see how this evolves! Agentic workflows + file ingestion are such a good match.
Report
Used this to extract data from some horribly scanned PDFs — surprisingly accurate even with poor contrast. Great job to the team!!
@file_ais We are rich in poor contrast. Thank you for the support!
Report
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.
@ivan_saverchenko Thanks for the support with the launch! Glad you see the same things that we do.
Report
💬 “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!
Report
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.
Replies
fileAI
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?
fileAI
@jingen_fileai Great examples of use cases. The Claims triage is probably my favorite.
@jingen_fileai Love these examples! For startups, I see huge value in automating the extraction and comparison of key details from legal contracts. There’s so much dense legal and financial language to parse and having an assistant that can surface, compare, and explain the essentials would save a ton of time!
fileAI
Hey there Product Hunt, it's Tim again, Head of Product & Engineering at fileAI. Thrilled to be here with our second launch.
We built the fileAI MCP Server because we kept seeing the same problem: agents are powerful, but without easy access to accurate, reliable data, they're more like to stall or fail at their tasks. fileAI's MCP Server goes a long way to fix that by making file parsing, AI OCR, and schema extraction something any developer or enterprise can drop straight into their workflow.
Agentic AI is moving fast, but it needs the right infrastructure to actually work in production. That’s what we’re aiming to deliver with our fileAI MCP Server.
I’ll be here throughout the launch answering questions, hearing your feedback, and swapping ideas on how you’d use MCP in your own projects. Excited to be part of the conversation!
PS: you can also join the conversation with our growing builder community on Discord https://discord.gg/jQZxvPy9uX our product team will be here all day
fileAI
Hey PH, we're back with our second launch!
Today we’re excited to share the fileAI MCP server. AI agents are powerful — but without access to the right data, they struggle. Our MCP server changes that by giving agents secure, real-time access to your files, complete with AI OCR, classification, and schema-based field extraction.
Why MCP? The Model Context Protocol is like a universal port for AI agents: plug in once, and they can instantly discover and use the tools they need — no brittle connectors or custom code.
We built this because developers (and our enterprise customers) wanted a faster, simpler way to integrate fileAI into their workflows.
👉 You can try it here: mcp.file.ai
We’d love your thoughts, feedback, and questions — especially ideas for the kinds of workflows you’d want to run with MCP.
Thanks for checking us out!
fileAI
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!
Curious to see how this evolves! Agentic workflows + file ingestion are such a good match.
Used this to extract data from some horribly scanned PDFs — surprisingly accurate even with poor contrast. Great job to the team!!
fileAI
@file_ais We are rich in poor contrast. Thank you for the support!
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.
fileAI
@ivan_saverchenko Thanks for the support with the launch! Glad you see the same things that we do.
💬 “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!
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.
fileAI
@vivek_sharma_25 Appreciate the support!
Structured output in one prompt? Huge time saver — especially when you’re building fast.