# MCP Beancount Tool

> Use this tool when you need to manage and analyze local accounting ledgers, solving problems such as tracking financial transactions and balances, and generating auditable financial data. It takes in natural-language queries and ledger data as inputs, and outputs structured financial information and validated transactions. Ideal for use cases requiring offline access to reliable and secure financial data operations.

Canonical page: https://skillsregistry.net/skills/onesvat-mcp-beancount  
JSON: https://api.skillsregistry.net/v1/skills/onesvat-mcp-beancount

## Description

Enables interaction with local Beancount accounting ledgers through structured tools for viewing accounts, balances, and transactions, as well as inserting/removing transactions and answering natural-language questions via BeanQuery. Provides deterministic, validated, and auditable financial data operations with offline-first functionality.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cusvonu1s9)
- **Repository:** <https://github.com/onesvat/mcp-beancount>

## 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": "onesvat-mcp-beancount"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/onesvat-mcp-beancount` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/onesvat-mcp-beancount/pull`

---
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