Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Document & FinTech Parser MCP extract the multi-page revenue table from annual_report.pdf as JSON"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Resilient streaming PDF table extraction, high-res page rasterization, AcroForm flattening, and OCR bounding box dewarp repair.
Built specifically for FinTech developers, legal AI agents, PDF ingestion pipelines, and enterprise automation bots.
smithery skill add whambammy/document-fintech-parser-mcpclaude_desktop_config.json){
"mcpServers": {
"document-fintech-parser-mcp": {
"command": "npx",
"args": ["-y", "@whambammy/document-fintech-parser-mcp"],
"env": {
"PAYMENT_WALLET": "0x9793E7269b3301893318dEa8338576Ba612F39B3",
"BASE_RPC_URL": "https://mainnet.base.org"
}
}
}
}Related MCP server: document-to-json-mcp
Tool Name | Price (USDC) | Capability |
| $0.040 | Extracts multi-page financial tables from complex PDFs with merged cells, ruled/unruled borders, and wrapped column baselines without misaligning cells. |
| $0.035 | Rasterizes complex vector PDF pages into crisp, 300 DPI antialiased WebP/PNG images optimized for multi-modal vision LLMs with zero text clipping. |
| $0.035 | Performs geometric perspective dewarping for photographed and scanned paper documents, correcting camera skew, tilt, and binding curvature. |
| $0.035 | Flattens interactive AcroForms and dynamic XML XFA forms into static, immutable PDF pages with 100% field content preservation for optical validation. |
A financial agent receives a scanned loan agreement -> rasterizes pages at 300 DPI -> repairs warped OCR bounding boxes -> extracts financial tables into structured JSON -> flattens any interactive signature forms.
When an agent invokes a tool without payment, the server responds with a deterministic HTTP 402 Payment Required challenge containing:
Target tool price in USDC
Base Native USDC Contract: 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Recipient payout wallet address
Single-use cryptographic nonce
Once broadcasted on Base L2, resubmitting with paymentSignature unlocks deterministic execution.
MIT License. Created by Whambammy.
Performs geometric perspective dewarping for photographed and scanned paper documents, correcting camera skew, tilt, and binding curvature. (0.035 USDC on Base L2)
Inputs: payload (required), paymentSignature.
Flattens interactive AcroForms and dynamic XML XFA forms into static, immutable PDF pages with 100% field content preservation for optical validation. (0.035 USDC on Base L2)
Inputs: payload (required), paymentSignature.
Rasterizes complex vector PDF pages into crisp, 300 DPI antialiased WebP/PNG images optimized for multi-modal vision LLMs with zero text clipping. (0.035 USDC on Base L2)
Inputs: payload (required), paymentSignature.
Extracts multi-page financial tables from complex PDFs with merged cells, ruled/unruled borders, and wrapped column baselines without misaligning cells. (0.040 USDC on Base L2)
Inputs: payload (required), paymentSignature.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 4 tools
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.
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.
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.
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.
Pay-per-call document and web tools for AI agents: PDF parsing and OCR (Japanese-strong), web and structured extraction, invoice verification, company profiles and PDF utilities. x402 (USDC on Base), no API key; failed calls are never charged.
Extract tables from a PDF. x402 $0.01 USDC, Base. As is, no warranty.
Extract tables from a PDF. x402 $0.01 USDC, Base. As is, no warranty.
Pay-per-call tools for AI agents: product photos, documents, web pages, data. USDC via x402.
