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minhyeoky/mcp-server-ledger

by Various

A Model Context Protocol server for interacting with Ledger CLI, a powerful double-entry accounting system. This server enables Large Language Models to query and analyze financial

M

MCP

minhyeoky/mcp-server-ledger

Added 1 June 2026

Overview

A Model Context Protocol server that provides a standardized interface for LLMs to interact with Ledger CLI double-entry accounting data. It allows AI assistants to execute queries and perform financial analysis on ledger files.

Best for

Best for
Developers adding financial query capabilities to AI assistants

Use cases

  • Query account balances and transactions via natural language
  • Generate income statements and balance sheet reports
  • Analyze budget versus actual spending patterns

Notes

A Model Context Protocol server that provides a standardized interface for LLMs to interact with Ledger CLI double-entry accounting data. It allows AI assistants to execute queries and perform financial analysis on ledger files.

48 stars on GitHub. Last updated 2025-10-19.

Use cases

  • Query account balances and transactions via natural language
  • Generate income statements and balance sheet reports
  • Analyze budget versus actual spending patterns

Pros

  • Enables natural language interaction with existing ledger data
  • Standard Protocol interface simplifies LLM integration
  • Leverages mature, reliable Ledger CLI tooling

Cons

  • Requires Ledger CLI installed and configured separately
  • Limited to read-only queries, cannot modify ledger entries
  • Small community (48 stars) and sparse documentation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Enables natural language interaction with existing ledger data
  • Standard Protocol interface simplifies LLM integration
  • Leverages mature, reliable Ledger CLI tooling

Cons

  • Requires Ledger CLI installed and configured separately
  • Limited to read-only queries, cannot modify ledger entries
  • Small community (48 stars) and sparse documentation