Enables AI assistants to query and analyze Beancount ledger files using Beancount Query Language.
Beanquery is an experimental server that leverages the Model Context Protocol (MCP) to provide a standardized way for AI assistants to interact with and analyze Beancount ledger files. By utilizing Beancount Query Language (BQL) via the beanquery tool, the server allows users to extract and analyze financial data stored in Beancount format. This integration streamlines the process of querying financial data within Beancount ledgers by facilitating communication between AI tools and the ledger itself.