mcp-business-pdf-field-extractor
LocalAbout mcp-business-pdf-field-extractor
mcp-business-pdf-field-extractor is an MCP server for extracting fixed fields from invoice, purchase order, and contract PDFs. It uses labels and column positions rather than AI, and can OCR scanned pages through an Apify actor.
Key features
- 01Extract fields from invoices, orders, and contracts
- 02Identify document type automatically
- 03OCR for scanned pages
- 04Return line items and amount checks
- 05Batch processing through Apify
Use cases
- 01Read invoice totals and line items
- 02Extract terms and renewal details from contracts
- 03Process batches of business PDFs
MCP support
Exposes the `extract_business_pdf_fields` tool to MCP clients. The tool starts the Apify actor, waits for completion, and returns dataset rows.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y @mambalabsdev/mcp-business-pdf-field-extractorAPIFY_TOKENSecretApify API token from https://console.apify.com/account/integrationsLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
1Saved tool list · updated 1d ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| pdf_file | string | No | Optional. One PDF file from your computer, stored in your Apify account. |
| pdf_urls | array | No | Web addresses of PDF files, up to 1,000. Each file up to 40 MB. The address must answer without a login. In Clay, put the column in a one item list. |
| max_pages | number | No | Pages to read per file, up to 500. Default 50. |
| date_order | enum | No | How to read a date such as 03/04/2025 when both readings are valid. mdy (default) reads March 4, dmy reads 3 April. Unambiguous dates ignore this.mdy | dmy |
| read_scans | boolean | No | yes (default): a page with no text layer goes through OCR, charged per page. no: those pages are skipped and the row says so. |
| include_text | boolean | No | yes: add the document text to the row, up to 200,000 characters. Default no. |
| ocr_language | enum | No | Language of scanned pages: eng (default), deu, fra, spa, nld, ita, or por.eng | deu | fra | spa | nld | ita | por |
| document_type | enum | No | auto (default) works it out per file. Set invoice, purchase_order, or contract to read every file as that type.auto | invoice | purchase_order | contract |
| max_documents | number | No | Files to read in this run, up to 1,000. Default 100. |
| max_ocr_pages | number | No | Scanned pages to read per file, up to 100. Default 10. This caps the OCR charge per file. |
| line_item_rows | boolean | No | yes (default): each line item is also its own free row, which suits CSV and Clay. no: line items stay in the line_items field only. |
| max_charge_usd | string | No | Optional. The run stops before a charge that would pass this amount. Summary rows are always returned. |
Details
From the project READMEBusiness PDF Field Extractor MCP Server
An MCP server for the Mamba Labs Business PDF Field Extractor actor on Apify. Read invoices, purchase orders, and contracts from PDFs as fixed fields.
What's Inside
- What it does
- Quick start
- Prerequisites
- Example prompts
- Tool
- Inputs
- Pricing
- Full actor documentation
- License
What it does
Give PDF addresses. The actor reads each file's text, or runs OCR on scanned pages, works out whether it is an invoice, a purchase order, or a contract, and returns fixed fields. Invoices and purchase orders return numbers, dates, parties, totals, line items, and a check that the amounts add up. Contracts return parties, dates, term, renewal, notice days, governing law, and which standard clauses appear. It uses labels and column position with no AI, so a value with no known label stays null and is listed as missing.
All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.
Quick start
You need Node.js 18 or newer and an Apify account with an API token.
Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:
{
"mcpServers": {
"mamba-business-pdf-field-extractor": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-business-pdf-field-extractor"
],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}
Restart the client. The extract_business_pdf_fields tool appears.
Prerequisites
- Node.js 18 or newer.
- An Apify API token from console.apify.com/account/integrations, set as
APIFY_TOKEN. The server lists its tool without a token; a call needs one.
Example prompts
- "Extract the fields from this invoice PDF: "
- "Read these purchase orders and list the line items: "
- "What is the renewal and notice wording in this contract PDF: "
Tool
extract_business_pdf_fields. One tool. Example arguments:
{
"pdf_urls": [
"https://docs.oasis-open.org/ubl/cd-UBL-1.0/fs/Order/pdf/OfficeOrder.Example-us.pdf",
"https://raw.githubusercontent.com/Azure/azure-sdk-for-python/main/sdk/formrecognizer/azure-ai-formrecognizer/samples/sample_forms/forms/Invoice_1.pdf",
"https://gba.georgia.gov/document/publication/services-contractsample-agreement-templatepdf/download"
]
}
Inputs
Every buyer facing input of the actor. Omitted inputs take the actor's own defaults.
| Input | Type | Required | Description |
|---|---|---|---|
pdf_urls | array | no | Web addresses of PDF files, up to 1,000. Each file up to 40 MB. The address must answer without a login. In Clay, put the column in a one item list. |
pdf_file | string | no | Optional. One PDF file from your computer, stored in your Apify account. |
document_type | string | no | auto (default) works it out per file. Set invoice, purchase_order, or contract to read every file as that type. |
date_order | string | no | How to read a date such as 03/04/2025 when both readings are valid. mdy (default) reads March 4, dmy reads 3 April. Unambiguous dates ignore this. |
read_scans | boolean | no | yes (default): a page with no text layer goes through OCR, charged per page. no: those pages are skipped and the row says so. |
ocr_language | string | no | Language of scanned pages: eng (default), deu, fra, spa, nld, ita, or por. |
max_pages | number | no | Pages to read per file, up to 500. Default 50. |
max_ocr_pages | number | no | Scanned pages to read per file, up to 100. Default 10. This caps the OCR charge per file. |
max_documents | number | no | Files to read in this run, up to 1,000. Default 100. |
line_item_rows | boolean | no | yes (default): each line item is also its own free row, which suits CSV and Clay. no: line items stay in the line_items field only. |
include_text | boolean | no | yes: add the document text to the row, up to 200,000 characters. Default no. |
max_charge_usd | string | no | Optional. The run stops before a charge that would pass this amount. Summary rows are always returned. |
Pricing
Pay per event on Apify, billed to your Apify account. Prices in USD.
| Event | Free plan | Bronze | Silver | Gold |
|---|---|---|---|---|
document-row, one PDF with at least one field read | $0.01 | $0.0095 | $0.009 | $0.0085 |
ocr-page, one scanned page read by OCR, charged when OCR returned text | $0.015 | $0.01425 | $0.0135 | $0.01275 |
apify-actor-start, per run start | $0.004 | $0.004 | $0.004 | $0.004 |
Line item rows, documents with no fields read, failed downloads, and refused input are free. Mamba Labs pays the platform costs of the run, Apify proxy traffic included.
Full actor documentation
apify.com/mambalabs/business-pdf-field-extractor
License
MIT. See LICENSE.
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