A
licenseA
qualityD
maintenanceConvert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.
5
8
MIT
Document & FinTech Parser MCP
by Whambammy
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TDQS
A3.7/5.0
Scored across 4 tools
Disambiguation4/5
Each tool performs a distinct operation on documents: table extraction, page rasterization, dewarping/repair, and form flattening. Boundaries are clear from the descriptions, though the rasterizer vs. table extractor split (both PDF-reading, output-different) requires reading descriptions to pick correctly.
Naming Consistency4/5
All four names are snake_case with a consistent pattern of domain prefix + operation + qualifier (pdf_table_stream_extractor_resilient, pdf_page_rasterizer_highres). Minor deviation: one uses an 'ocr_' prefix instead of 'pdf_', and names are unusually verbose.
Tool Count4/5
Four tools is lean but reasonable for a specialized document-parsing pipeline where each tool handles a distinct transformation. It sits at the low end, leaving little room for composition flexibility.
Completeness3/5
Covers table extraction, rasterization, dewarping, and form flattening, but a 'Document & FinTech Parser' would be expected to also offer plain text/content extraction, metadata or key-value parsing, and format conversion. Agents needing raw text or structured JSON output would hit a dead end.
Maintenance
ActivityMaintained
ResponsivenessNo issues