MainBook Bank Statement Converter
by mainbook.ai MCP server in PDF tools, indexed and not reviewed
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No score, grade or rank. This listing is facts from the official MCP registry and our own checks, and it stays out of the rankings until the panel reviews it.
Convert PDF bank statements to checked Excel, CSV or JSON with balance validation.
Facts
- MCP registry
ai.mainbook/bank-statement-converter· 0.5.2- Endpoint
https://mcp.mainbook.ai/mcp- Packages
pypimainbook-mcp stdio- Website
- mainbook.ai/mcp
- PyPI / week
- 32
- GitHub stars
- 0
- Registry entry
- updated 20 Aug 2026
From the official MCP registry, the package registries and our own checks. JSON · Markdown
Why it's listed
- It's published in the registry under mainbook.ai, a namespace the registry only gives to whoever proves they control that domain.
Being indexed says nothing about quality, and nobody can pay for it. Is this yours? Ask for a review.
Tools it lists 4 · about 5,168 tokens of context · checked 3 hours ago
| Tool | What it does | Hint |
|---|---|---|
convert_bank_statementConvert bank statement | Convert one PDF bank statement through the complete MainBook workflow: create a job, upload, start, poll, and return structured data. This creates a job and spends page credits; it is not read-only. | writes |
get_balanceGet page-credit balance | Return total, reserved, and available MainBook credits. Every value is measured in PDF pages. | read-only |
list_conversionsList conversions | List one cursor page of conversion jobs visible to the MainBook account. Pass the returned next_cursor to continue. | read-only |
get_conversionGet conversion | Get the current state of one MainBook conversion. When successful, return JSON inline or save XLSX/CSV locally over stdio. HTTP mode returns safe download instructions. Use this after convert_bank_statement times out. | read-only |
What https://mcp.mainbook.ai/mcp answered to tools/list, asked without credentials over MCP 2026-07-28. The token figure is the size of the list as sent, divided by four; a model sees about that much before it calls anything. Full definitions, input schemas included, are in the listing's JSON under mcpTools.
How its tools read to an agent 0 errors · 2 warnings · 1 note
- warnTC22convert_bank_statementthe definition is about 2,289 tokens
- warnTC22get_conversionthe definition is about 1,949 tokens
- noteTC29serverabout 928 tokens (17% of the definitions) are titles that repeat property or function names
The checks from /check and anchor check, run each day on the list above: about 5,168 tokens of definitions. Not part of the score yet. Check your own server.