Statement to Budget

Turn bank statement PDFs, CSVs, XLSX and OFX into categorised transactions plus a summary.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
87%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~312Tokens (tool definitions)
~495 BTypical response size
Minimal attention impact (0.24% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "bank-statement-converter": {
      "url": "https://www.statementtobudget.com/api/mcp"
    }
  }
}

Remote endpoints

https://www.statementtobudget.com/api/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟡convert_statement(filename, content_base64, password)

Upload a bank statement (PDF, CSV, XLS, XLSX, or OFX) as base64 and run AI extraction + categorisation. Returns a session_id plus access.level: "full" when an API key with credit was supplied, otherwise "preview" (5 sample rows, other rows masked) with an unlock_url a human can open to buy the full file for $4.99. Large statements can take 1-3 minutes; if status is "processing", poll get_job.

Input Schema

{
  "type": "object",
  "properties": {
    "filename": {
      "type": "string",
      "description": "Original file name including extension"
    },
    "content_base64": {
      "type": "string",
      "description": "File bytes encoded as base64"
    },
    "password": {
      "type": "string",
      "description": "PDF password if the file is locked"
    }
  },
  "required": [
    "filename",
    "content_base64"
  ]
}
🟢get_job(session_id)

Poll a conversion job by session_id. Status is processing, complete, or error.

Input Schema

{
  "type": "object",
  "properties": {
    "session_id": {
      "type": "string"
    }
  },
  "required": [
    "session_id"
  ]
}
🟢get_transactions(session_id)

Fetch categorised transactions and a spending summary for a completed session. Preview sessions return 5 sample rows, locked_rows (date, category, masked description) for the rest, and unlock_url.

Input Schema

{
  "type": "object",
  "properties": {
    "session_id": {
      "type": "string"
    }
  },
  "required": [
    "session_id"
  ]
}

Community

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Evidence

Recent observations

verifiedversion not recorded3 tools
verifiedversion not recorded3 tools