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bug2context

MCP server · installable · v0.1.1 · io.github.emanueld92/bug2context
NEW · 2h agoSeen in the registry 1h ago

Turn bug screen recordings into chronological context for AI agents: frames, OCR, logcat, voice.

What it does

bug2context 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 2 capabilities: data extraction and document understanding. That makes it a candidate for tasks such as extract data from PDFs or analyze financial documents.

Facts come from the Official MCP Registry, as declared by the publisher. Capabilities are matched automatically (low confidence) and are not a test of the tool.

At a glance

Hosted (remote)NO
Local installYES
Version0.1.1
PackagesPyPI
PriceNot in the registry
First seen21 Oct 2026
Last checked1h ago

How to connect

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

Install package

  • PYPI bug2context v0.1.1 · runs locally (stdio)

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

{
  "mcpServers": {
    "bug2context": {
      "command": "uvx",
      "args": [
        "bug2context"
      ]
    }
  }
}

Tasks it helps with

Share of each task's required capabilities it covers
Extract data from PDFs
Data Extraction · Document Understanding
100%
Analyze financial documents
Document Understanding
50%
Analyze patents
Document Understanding
50%
Answer questions from internal documents
Document Understanding
50%
Automate bookkeeping
Data Extraction
50%
Clean and merge spreadsheets
Data Extraction
50%
Extract website data
Data Extraction
50%
Fact-check a document
Document Understanding
50%

Similar tools

Listed for the same task: extract data from PDFs
  • docling.rsREMOTELOCAL
    Documents to Markdown for agents: PDF layout, tables and OCR, Office, HTML, scans. docling in Rust
  • Extract tables from a PDF. x402 $0.01 USDC, Base. As is, no warranty
  • 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
  • CoreNexis APIREMOTELOCAL
    PDF from HTML or Markdown, OCR, email validation, image conversion and hosting, QR and barcodes
  • docsREMOTELOCAL
    Documents and web for AI agents: PDF parse, OCR, web extract, invoice checks. x402, no API key

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 packagebug2contextDECLAREDSRC-001 Official MCP Registry1h ago
Package registriespypiDECLAREDSRC-001 Official MCP Registry1h ago
Local install (package)yesDECLAREDSRC-001 Official MCP Registry1h ago
Remote access (hosted)noDECLAREDSRC-001 Official MCP Registry1h ago
Repositoryhttps://github.com/emanueld92/bug2contextDECLAREDSRC-001 Official MCP Registry1h ago
Registry statusactiveDECLAREDSRC-001 Official MCP Registry1h ago
Version0.1.1DECLAREDSRC-001 Official MCP Registry1h ago
MCP serveryesDECLAREDSRC-001 Official MCP Registry1h ago

Change history

  • NEW21 Oct 2026
    first seen in the index

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Questions about bug2context

How do I connect bug2context?

Install the PyPI package bug2context. The exact settings are in "How to connect" above, as declared in the Official MCP Registry.

What can I use bug2context for?

Based on its description, it is most relevant to: extract data from PDFs, analyze financial documents, analyze patents, answer questions from internal documents.