Unstructured Transform MCP | Unstructured

Transform MCP is now available for ClaudeClineCodexCursorDevinIBM Bob

Transform MCP gives your agents a faster way to turn any file into structured, agent-ready data. Point it at a file, describe what you need, and Transform automatically applies the best processing strategy so you get expert results, without becoming a file-processing expert.

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Table Accuracy

Extracts complex tables without losing structure.

Content Accuracy

Preserves your documents as they were written.

Lowest Hallucination Rate

Keeps extracted content grounded in the source.

Point. Parse. Done.

Every file is different, and Transform MCP knows how to handle each one. It automatically applies the right processing strategy, turning complex files into structured, agent-ready data with no manual setup.

Works with

Built for the hard files.

The hardest files require more than text extraction. Transform MCP understands layouts, tables, images, and mixed content to produce high-quality, agent-ready output.

It just works!

No Python packages. No API parameters. No parser configuration. Just install, point, and prompt.


  1. STEP 01

You point.

Give your agent a file and describe what you need in plain English.


  1. STEP 02

Transform decides.

It automatically chooses the right parsing strategy, chunking, OCR, and enrichments for every document.


  1. STEP 03

Files are done.

You receive structured output data ready for extraction, RAG, automation, or agent workflows.


Use Cases

Structured Data Extraction

"Extract all invoice numbers from this PDF." "Collect all term dates from this contract." "List every payment term in this doc."

RAG

"Get this document RAG-ready." "Chunk these files for semantic search." "Prepare this PDF for embeddings."

Agents

"Add these docs to my second brain." "Analyze these PDFs and build a report." "Research this topic across all these files."

Automation

"Turn this folder into structured data." "Extract invoice data into a spreadsheet." "Index these files for search."

FAQs

Why can't I just let my model read the PDF? Claude and GPT have vision now.

Why not just install your open-source and wrap it myself?

What do you actually build with this?

What does this actually cost me? My agent is already burning tokens.

How is this different from Foundation?

Do I lose control over how files get parsed?

Will it handle my weird files? Scanned stuff, handwriting, ugly tables.