Give your AI agent paperwork skills.

Connect CloudRaker to ChatGPT, Claude, Codex, Grok, or whatever agent you already talk to. Then ask it to read, extract, fill, redact, and sign real documents.

Setup

Connect. Ask. Done.

Three steps, once. After that you just talk to your agent the way you already do.

  1. 01

    Pick your agent.

    ChatGPT, Claude, Codex, Grok, or anything else that speaks MCP. You keep the assistant you already like. We are not asking you to switch.

    ChatGPTClaudeCodexGrok
  2. 02

    Add CloudRaker.

    Install CloudRaker from your agent's marketplace, or add the connector yourself. Either way it takes a minute, and your agent can then use every capability.

    MarketplaceOr one URL
  3. 03

    Ask for the work.

    Type what you want in your own words. Your agent figures out which capabilities to call and in what order. You get the finished paperwork back.

    Plain languageReal output
What your agent gains

Your agent just got better at paperwork.

Not one big black box. Eleven separate skills your agent can call, on their own or chained together.

Parse
Read any file, however it arrived. Scans, photos, spreadsheets, forty-page PDFs.
Extract
Pull the fields that matter and say which page each one came from.
Classify
Sort a pile into invoices, claims, contracts, and whatever else showed up.
Split
Break a scanned batch back into the individual documents it should be.
Merge
Assemble a set of files into one clean package, in the right order.
Fill
Populate a form or a template with the data, not with a guess.
Compose
Write the letter, the summary, or the certificate the file needs.
Redact
Remove personal data properly, so it is gone and not just painted over.
Redline
Compare two versions and show exactly what changed between them.
Convert
Turn a file into the format the next system will actually accept.
Sign
Send it for signature and track it until it comes back signed.
All eleven, in any order
Your agent chains them however the work needs. You never write the pipeline.
Explore all capabilities
The difference

Don't replace the agent. Upgrade what it can do.

Ask a general assistant to read a document and it will guess at the hard fields. Give it CloudRaker Extract and it stops guessing.

  1. Claude
    Agent alone 65.7–71.5%
    With CloudRaker Extract 92.1–99.3% *
  2. ChatGPT
    Agent alone 52.9–69.1%
    With CloudRaker Extract 92.1–99.3% *

* LLM figures from Peng et al. (2025), measured on sleep-medicine RCT extraction. CloudRaker figures from CloudRaker extraction testing; methodologies and datasets differ. Results vary by document and extraction task.

Setup guides

Connect the agent you already use.

Step-by-step instructions for each one. Takes about a minute.

Division of labour

Agents can reason. CloudRaker does the paperwork.

Your agent understands what you want. It cannot open a hundred scanned PDFs, find the policy number on page seven, and get a signature back. That part needs infrastructure.

So we split the job. The agent decides. CloudRaker executes, under the same rules, limits, and audit trail as every other run.

The agent gets better tools. You get work that actually gets done.

Other ways in

Agents aren't the only way in.

Same capabilities underneath. Pick whichever surface fits how you work.

API
Call the same capabilities from your own applications, workflows, services, and your terminal.
See the API
Workspace
Run and review the work in CloudRaker itself, with queues, approvals, and history for the whole team.
See the workspace
Get started

Your agent is ready. Give it some paperwork.

Connect it in a couple of minutes, then ask for something real. No credit card to start.