Reducto MCP Server
Connect to the Reducto MCP server to parse documents, extract structured data, split files into sections, and fill or edit forms using AI agents on Gumloop, Claude, or Cursor.
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Reducto
Installation
Set up the Reducto MCP server in Gumloop
Do this once to provision your hosted server URL.
Create a Gumloop account
To use this MCP, you need a Gumloop account. If you don't have one yet, sign up and start a 14-day free trial.
Add and authorize the Reducto server
In Gumloop, open Connectors and add Reducto. Paste your Reducto API key when prompted. The credential is stored securely in Gumloop.
Then use it in your client
Use in GumloopUse Reducto in an agent
Once Reducto is set up, just open any Gumloop agent, add Reducto as a connector, and start chatting with the agent.
Tools (9)
Upload Document
3 creditsUpload a file from Gumloop storage to Reducto for processing. Returns a reducto:// URL that can be used as document_url in other tools.
Download Document
3 creditsDownload a file from a Reducto result URL (e.g. pdf_url from parse results or document_url from edit results) and store it in Gumloop storage.
Parse Document
90 creditsParse a document into structured content including text, tables, and figures. Accepts public URLs, presigned S3 URLs, or reducto:// URLs from upload_document.
Extract Data
90 creditsExtract structured data from a document into JSON using a provided schema. Accepts public URLs, presigned S3 URLs, or reducto:// URLs.
Split Document
90 creditsSplit a document into logical sections based on provided descriptions. Useful for dividing documents into targeted parts for further processing.
Edit Document
180 creditsFill forms or modify a document with natural language instructions. Returns a URL to the edited document.
List Jobs
3 creditsList processing jobs with pagination support
Get Job Status
3 creditsGet the status and result of a processing job by its ID
Cancel Job
3 creditsCancel a running processing job
What is Reducto MCP?
The Reducto MCP server gives AI agents access to Reducto’s document processing. That means agents can parse documents into structured content, extract structured data into JSON, split files into logical sections, fill or edit forms with natural language instructions, and move documents in and out of Gumloop storage. It turns messy PDFs and documents into clean, structured data an AI agent can actually work with.
If you spend time copying numbers out of PDFs, retyping tables into spreadsheets, or wrangling scanned forms by hand, an AI agent can take over a lot of that work. Describe what you need, and your AI agent will parse the document and pull the data for you.
MCP stands for Model Context Protocol. It’s an open standard that gives AI agents a way to connect to external tools and services. Instead of getting a Reducto API key, handling async processing jobs, and writing code against the Reducto API, you connect the Reducto MCP server on Gumloop. After that, you process documents just by asking your AI agent in natural language.
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What you can do with Reducto MCP on Gumloop
Parse documents into structured content
Turn a PDF or document into clean structured content, including text, tables, and figures, so an AI agent can read and reason over it.
Extract structured data into JSON
Pull specific fields out of a document into JSON using a schema you provide. Ideal for invoices, receipts, contracts, and forms where you need consistent, machine-readable output.
Split documents into sections
Break a long document into logical sections based on descriptions you give, so an agent can target the right part of a file for further processing.
Fill and edit forms with natural language
Modify a document or fill a form with plain-language instructions. Reducto returns a URL for the edited document, leaving your original untouched.
Move documents in and out of Gumloop storage
Upload a file from Gumloop storage to Reducto for processing, and download parsed or edited results back into your workspace for the next step in a workflow.
How to connect the Gumloop Reducto MCP Server
- 1
Create a Gumloop account
Sign up at gumloop.com. Every new account starts with a 14-day free trial.
- 2
Add the Reducto MCP server
Copy your MCP server URL from Gumloop and add it to your preferred client (Claude, Cursor, or Gumloop workflows). You'll authorize on first use.
- 3
Start using Reducto in your AI workflows
That's it. Your AI agent can now parse, extract, split, and edit documents as part of your workflows. Use it inside a Gumloop automation, in Claude Desktop, or in Cursor.
Reducto MCP use cases
Invoice and receipt data extraction for finance and ops
An AI agent can parse incoming invoices and receipts, extract the line items, totals, and dates into JSON with a schema, and push the results to a spreadsheet or accounting tool. Finance teams don’t have to retype numbers from PDFs.
Contract and document analysis
Point an agent at a long contract: it can split the file into sections, parse the relevant clauses, and extract key terms like dates, parties, and amounts into a structured summary for review.
Form filling automation
Hand an agent a form and the details to enter, and it can fill the form by following your natural-language instructions. It’ll then return a finished document, ready to send or store.
Document ingestion pipelines for data teams
Upload documents to Reducto, parse and extract them into structured records, and feed the output into your warehouse or database. Reliably turn unstructured files into clean data at scale.
Cross-platform document workflows
Combine Reducto with Google Drive, Google Sheets, and Slack in a single AI agent: pull a document from Drive, extract its data with Reducto, write the results to a sheet, and notify the team in Slack, all without manual steps.
Why use Gumloop for Reducto MCP
Built-in connection, no API key to manage
Building your own Reducto MCP server means managing an API key, handling async job polling, and writing code against the Reducto API. Gumloop comes with the Reducto connection built in, so you can start processing documents right away. No API key and no code.
Works with multiple MCP clients
Use the Reducto MCP server endpoint in Claude Desktop, Cursor, or directly inside Gumloop. Same server URL, works with any MCP client.
Chain Reducto with 100+ other integrations
Combine Reducto with Google Drive, Google Sheets, Salesforce, and other MCP tools in a single AI agent. Pull a document from one tool, extract its data with Reducto, and write the structured output anywhere.
Enterprise-grade and scalable
Built for teams, with role-based permissions and dedicated support for Pro users. Reducto processes documents at volume with async processing that returns results automatically.
Pricing with a free trial
You can test the Reducto MCP integration during Gumloop’s 14-day free trial before committing. Paid plans start at $37/month.
Frequently asked questions
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