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Backroom

MCP server · installable · v0.1.1 · io.github.pardhuparimi/backroom
NEW · 3h agoNew version 3h agoSeen in the registry 2h ago

Invoice extraction for agents: submit a PDF, get verified structured data — never a guess.

What it does

Backroom is an MCP server, a connector that lets an AI assistant use it as a tool. It is installed locally as a package and runs on your machine.

From the publisher's description, Electra Index matched it to 3 capabilities: data extraction, document understanding and invoicing. That makes it a candidate for tasks such as extract data from PDFs or extract website data.

Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence). None of this is a test of the tool.

At a glance

Hosted (remote)NO
Local installYES
Version0.1.1
PackagesPyPI
PriceNot in the registry
First seen28 Oct 2026
Last checked2h ago

How to connect

As declared in the Official MCP Registry · not tested by Electra Index

Install package

  • PYPI backroom-mcp v0.1.1 · runs locally (stdio)

Required: BACKROOM_API_KEY (get it from the publisher)

MCP settings (Claude Desktop, Cursor and other MCP clients)

{
  "mcpServers": {
    "backroom": {
      "command": "uvx",
      "args": [
        "backroom-mcp"
      ],
      "env": {
        "BACKROOM_API_KEY": "<your BACKROOM_API_KEY>"
      }
    }
  }
}

Replace the values in <angle brackets>.

Tasks it helps with

Share of each task's required capabilities it covers
Extract data from PDFs
Data Extraction · Document Understanding
100%
Extract website data
Data Extraction
50%
Automate bookkeeping
Data Extraction
50%
Clean and merge spreadsheets
Data Extraction
50%
Fill web forms automatically
Data Extraction
50%
Label and classify data
Data Extraction
50%
Operate legacy software
Data Extraction
50%
Process expense receipts
Data Extraction
50%

Similar tools

Listed for the same task: extract data from PDFs
  • OcrspaceREMOTELOCAL
    OCR.space MCP — wraps the OCR.space API (ocr.space) for image/PDF → text OCR
  • Scan receipts with Taggun OCR from a URL or file and read receipt-validation campaigns
  • Turn PDFs and images into typed fields — invoices, receipts, IDs and custom models — via Mindee OCR
  • docling.rsREMOTELOCAL
    Documents to Markdown for agents: PDF layout, tables and OCR, Office, HTML, scans. docling in Rust
  • Documents to Markdown and PDF, OCR, transcription, TTS, screenshots, domain checks, video frames
  • LatheREMOTELOCAL
    Local file and media tools: images, PDF, audio, video, OCR, batch and metadata. Runs locally

Ready-made AI agents

An MCP server is a connector you add to your own assistant. These are finished products that do the same job for you:

Facts & evidence

Each fact shows where it was seen and when.
FactValueEvidenceSourceLast confirmed
Install packagebackroom-mcpDECLAREDSRC-001 Official MCP Registry2h ago
Version0.1.1DECLAREDSRC-001 Official MCP Registry2h ago
Package registriespypiDECLAREDSRC-001 Official MCP Registry2h ago
Local install (package)yesDECLAREDSRC-001 Official MCP Registry2h ago
Remote access (hosted)noDECLAREDSRC-001 Official MCP Registry2h ago
Websitehttps://backroom-api-wmk6.onrender.com/backroom/api/docsDECLAREDSRC-001 Official MCP Registry2h ago
Repositoryhttps://github.com/pardhuparimi/backroomDECLAREDSRC-001 Official MCP Registry2h ago
Registry statusactiveDECLAREDSRC-001 Official MCP Registry2h ago
MCP serveryesDECLAREDSRC-001 Official MCP Registry2h ago

Change history

  • VERSION28 Oct 2026
    0.1.0 → 0.1.1
  • NEW28 Oct 2026
    first seen in the index

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Questions about Backroom

How do I connect Backroom?

Install the PyPI package backroom-mcp. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.

Does Backroom need an API key or token?

Yes. The registry entry lists a required value: BACKROOM_API_KEY. Get it from the publisher.

What can I use Backroom for?

Based on its description, it is most relevant to: extract data from PDFs, extract website data, automate bookkeeping, clean and merge spreadsheets.