Beanquery

About

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.

Key Features

• Supports standardized communication with AI assistants via MCP.
• Integrates with Claude.ai for financial data analysis.
• Provides resources for accessing table and account information.
• Enables querying of Beancount ledgers using BQL.
• 5 GitHub stars

Use Cases

• Automating financial reporting and analysis.
• Analyzing personal financial data using AI assistants.
• Extracting specific financial insights from Beancount ledgers.