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Cronhaus Inbox MCP Server

Cronhaus Inbox MCP Server

by son1kkesp

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    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables accounts payable teams to extract invoice data from PDFs and images, detect duplicates, normalize vendor names, calculate payment terms, and validate invoice completeness. Supports local extraction for text PDFs and optional vision providers for scanned documents.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives AI agents a safe way to read and check invoices, returning a deterministic APPROVE, REVIEW or STOP decision with every reason, while no tool can pay, approve or change anything.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Exposes a ledger system (invoice queue, duplicate control, VAT register, contractor history, decision journal) as MCP tools for AI agents, enabling accurate invoice processing with deterministic validation.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents and finance teams to extract structured fields from messy invoices and audit them before payment, applying seven evidence-backed risk rules that catch total/tax mismatches, duplicate invoices, missing fields, future dates, and round amounts, then returning a 0–100 score with a payment link. Exposes four MCP tools over stdio and Streamable HTTP (spec 2025-11-25) plus a web UI, backed by an optional AWS Bedrock or OpenAI-compatible extraction brain that degrades gracefully to a zero-dependency offline engine.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables accounts-payable teams to turn emailed or uploaded invoice PDFs into structured, source-cited fields via Claude, run deterministic arithmetic, date, PO and duplicate checks, and route each invoice to a named human for approval or rejection through scoped bearer tokens. Also supports listing pending approvals and forecasting what falls due in the coming weeks, with per-extraction cost tracking.
      MIT