# Statement Normalizer

> Statement Normalizer — jfortier93-statement-normalizer-mcp. Use this tool when you need to parse and normalize messy bank statement exports into clean, categorized data. It solves the problem of inconsistent and disorganized financial data by converting CSV/OFX files into structured ledger rows. The Statement Normalizer takes in unprocessed bank statement files and outputs standardized, categorized transactions, making it ideal for AI agents requiring reliable financial data processing.

Canonical page: https://skillsregistry.net/skills/jfortier93-statement-normalizer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jfortier93-statement-normalizer-mcp

## Description

Deterministic bank-statement parsing for AI agents: messy CSV/OFX exports to clean, categorized ledger rows. In-memory only, no storage, no external calls, no LLM in the loop.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ocderyxgvo)
- **Repository:** <https://github.com/jfortier93/statement-normalizer-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jfortier93-statement-normalizer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jfortier93-statement-normalizer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jfortier93-statement-normalizer-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
