Document & File Management · Extracta ai + Claude
Extracta.ai MCP with Claude: Turn Documents Into Structured Data Automatically
The short answer
Claude connects to Extracta.ai through the Model Context Protocol, an open standard that lets Claude use the tool securely with permissions you control. Once connected, Claude can ask Extracta.ai to pull tables, summarise documents, parse receipts and convert images into structured data, all triggered by plain-language requests.
What is Extracta ai?
Extracta.ai is an AI-driven service for extracting data from documents, PDFs and images. It reads unstructured files and returns structured information, removing the need for manual data entry. Finance teams, operations staff, administrators and anyone handling large volumes of paperwork typically use it to turn invoices, forms, receipts and reports into information that systems can use.
How Claude connects to Extracta ai through MCP
The Model Context Protocol, or MCP, is an open standard that lets Claude use other software securely. Think of it as a universal adapter between Claude and a tool. For Extracta.ai, the connection can run through an MCP server or a direct API connection, using an API key for sign-in.
Once connected, Claude can ask Extracta.ai to extract tables, summarise documents, parse receipts and convert images to structured data. Your team can simply describe what they need in natural language, and Claude carries out the request and returns the results in a clear format.
Permissions and approvals keep people in charge. Access is limited to the actions your organisation allows, using least-privilege settings. Consequential steps, such as passing extracted figures into a payment or accounting system, can require a person to approve them first. Every action can be logged for audit.
What you can automate
Accounts payable invoice capture
Finance teams receive invoices as PDFs from many suppliers. Claude can ask Extracta.ai to pull supplier names, invoice numbers, dates, line items and totals, then prepare them for review. Staff check the results before anything is posted, which typically cuts the time spent keying invoice data by hand.
Expense receipt processing
Employees often photograph receipts after business trips. Claude can request that Extracta.ai parse each image into merchant, date, amount and tax fields, and group them by expense category. Finance reviewers then approve the claims, reducing back-and-forth over unclear receipts.
Table extraction from reports
Analysts regularly need figures locked inside PDF reports or scanned tables. Claude can instruct Extracta.ai to extract those tables into rows and columns that can be used in a spreadsheet. This saves time copying numbers manually and lowers the risk of transcription errors.
Document summarisation for busy teams
Managers and legal or compliance staff may need the key points of long contracts or reports quickly. Claude can ask Extracta.ai to summarise a document and highlight dates, obligations and named parties. The reviewer still reads the source for anything important, but gets to the essentials much faster.
Intake forms and onboarding paperwork
HR and operations teams collect forms from new starters, customers or applicants. Claude can extract the relevant fields from each submitted form and pass them into the right record. Staff focus on exceptions, such as missing or unclear entries, rather than typing every field.
An end-to-end workflow: Supplier invoice to accounting system
TriggerA new supplier invoice PDF is saved to a shared finance folder.
Claude detects the new file and asks Extracta.ai to extract the invoice header and line items.
Claude checks the extracted supplier name and invoice number against the supplier list held in the CRM or ERP system.
Claude flags any mismatches, missing totals or duplicate invoice numbers for a person to review.
An accounts clerk approves the verified invoice in a single review screen.
Claude prepares the approved entry and posts it to the accounting system, with the source file linked for audit.
OutcomeInvoices reach the ledger faster, with fewer keying errors and a clear audit trail. Typical results depend on invoice quality and volume, and approvals remain with your finance team.
How we set it up
Free automation audit
We review how your team handles documents today and identify the workflows, such as invoices, receipts or forms, that are worth automating with Extracta.ai.
Secure connection with an API key
We connect Claude to Extracta.ai using an API key for sign-in, through an MCP server or direct API connection. The key is stored securely and access is limited to what each workflow needs.
Workflow design across your systems
We design the end-to-end process across Extracta.ai and your other systems, such as Microsoft 365, CRM, ERP or ticketing, and agree which actions need human approval.
Testing with real documents
We test the workflow against past invoices, receipts and forms, measure accuracy, and tune the instructions until results meet your standards.
Launch, monitoring and training
We launch with monitoring and audit logs in place, then train your team on reviewing outputs and handling exceptions.
Who benefits
- Finance director
- Faster invoice and expense processing with clear approval steps and an audit trail.
- Operations manager
- Less time spent keying data from forms and reports, so staff can focus on exceptions.
- IT head
- A controlled, least-privilege connection with logging, so the tool is governed like any other system.
- Compliance officer
- Faster access to key clauses and dates in long documents, with the source always available for checking.
Security and control
- Access is limited to the actions each workflow needs, using least-privilege settings.
- People approve consequential actions, such as posting financial entries, before they take effect.
- Every action can be recorded in audit logs for review.
- API keys are stored securely and can be rotated or revoked at any time.
- Extraction results are checked against source documents during testing and review.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host the Claude workflow in their chosen region to support their data handling obligations. Businesses in India must align with the Digital Personal Data Protection Act, 2023, and we design India-hosted options where needed. Organisations in the UAE and Saudi Arabia must meet local data protection laws, and we select hosting regions to match those requirements.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Extracta.ai MCP server do?
The Extracta.ai MCP server gives Claude a secure way to use Extracta.ai's document extraction features. Through it, Claude can request table extraction, document summaries, receipt parsing and image-to-data conversion, using natural language instructions. The exact actions available depend on how the connection is set up for your organisation.
Is connecting Claude to Extracta.ai secure?
Security depends on the setup. Access uses an API key and is limited to the actions your workflow needs. Consequential steps can require human approval, and activity can be logged for audit. We also help you manage and rotate keys, so access can be controlled over time.
What can Claude do with Extracta.ai once connected?
Claude can ask Extracta.ai to extract tables, summarise documents, parse receipts and convert images into structured data. It then uses those results in your workflow, for example by preparing entries for review or passing them to another system, under the rules you set.
How long does setup take?
Timing depends on the number of document types and systems involved. A focused single workflow is often set up and tested in a short period after the free automation audit. Broader programmes with several document types and integrations take longer, and we agree a timeline during the audit.
Which plan or permissions are needed?
You need an Extracta.ai account with an API key that allows the extraction actions your workflow requires. The exact plan and permission level depend on your Extracta.ai arrangement and your volumes, so we confirm these during the free automation audit.