Backroom
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
How to connect
As declared in the Official MCP Registry · not tested by Electra IndexInstall package
- PYPI
backroom-mcpv0.1.1 · 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- OcrspaceREMOTELOCALOCR.space MCP — wraps the OCR.space API (ocr.space) for image/PDF → text OCR
- Taggun MCP by usefulapiREMOTELOCALScan receipts with Taggun OCR from a URL or file and read receipt-validation campaigns
- Mindee MCP by usefulapiREMOTELOCALTurn PDFs and images into typed fields — invoices, receipts, IDs and custom models — via Mindee OCR
- docling.rsREMOTELOCALDocuments to Markdown for agents: PDF layout, tables and OCR, Office, HTML, scans. docling in Rust
- Document & media tools (Apify)REMOTELOCALDocuments to Markdown and PDF, OCR, transcription, TTS, screenshots, domain checks, video frames
- LatheREMOTELOCALLocal file and media tools: images, PDF, audio, video, OCR, batch and metadata. Runs locally
Ready-made AI agents
- Elicit74$49/mo · free plan · Prices & score →
- $20/mo · free plan · Prices & score →
- On quote · Prices & score →
- FIZ53Free plan · Prices & score →
Facts & evidence
Each fact shows where it was seen and when.| Fact | Value | Evidence | Source | Last confirmed |
|---|---|---|---|---|
| Install package | backroom-mcp | DECLARED | SRC-001 Official MCP Registry | 2h ago |
| Version | 0.1.1 | DECLARED | SRC-001 Official MCP Registry | 2h ago |
| Package registries | pypi | DECLARED | SRC-001 Official MCP Registry | 2h ago |
| Local install (package) | yes | DECLARED | SRC-001 Official MCP Registry | 2h ago |
| Remote access (hosted) | no | DECLARED | SRC-001 Official MCP Registry | 2h ago |
| Website | https://backroom-api-wmk6.onrender.com/backroom/api/docs | DECLARED | SRC-001 Official MCP Registry | 2h ago |
| Repository | https://github.com/pardhuparimi/backroom | DECLARED | SRC-001 Official MCP Registry | 2h ago |
| Registry status | active | DECLARED | SRC-001 Official MCP Registry | 2h ago |
| MCP server | yes | DECLARED | SRC-001 Official MCP Registry | 2h ago |
Change history
- VERSION28 Oct 20260.1.0 → 0.1.1
- NEW28 Oct 2026first 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.