# Ledger CLI

> Use this tool when you need to analyze financial data, generate reports, or track budgets through a command-line interface. It solves problems related to accounting and financial management by providing structured access to balance reports, transaction registers, and budget analysis. The Ledger CLI takes a valid Ledger file path as input and outputs detailed financial information, making it ideal for use cases where natural language queries are preferred for financial data analysis.

Canonical page: https://skillsregistry.net/skills/ledger  
JSON: https://api.skillsregistry.net/v1/skills/ledger

## Description

The mcp-server-ledger provides AI assistants with structured access to Ledger CLI, a powerful command-line accounting system. Built with Python using the FastMCP framework, it exposes nine tools that map directly to Ledger commands including balance reports, transaction registers, account listings, and budget analysis. The server requires a valid Ledger file path and includes security measures to prevent command injection. It's particularly valuable for users who want to analyze financial data, generate reports, and track budgets through natural language queries without leaving their AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ledger)
- **Repository:** <https://github.com/minhyeoky/mcp-server-ledger>

## 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": "ledger"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ledger` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ledger/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