beanquery-mcp
The Beancount MCP Server is an experimental server designed for querying and analyzing financial data stored in Beancount ledger files. It leverages the Model Context Protocol for standardized communication with AI assistants, enhancing data accessibility. It includes various tools and resources for setting ledger files and running queries.
What is the Beancount MCP Server?
It is an experimental implementation of the Model Context Protocol designed to interface with Beancount ledger files for querying and analysis.
What is the Beancount Query Language (BQL)?
BQL is a query language used to run queries against Beancount ledger files.
Is the Beancount MCP Server stable?
No, it is experimental and may undergo significant changes.
How can I ensure the privacy of my financial data?
Mask or redact sensitive data, use self-hosted LLMs, and review data being sent via MCP.
What are the prerequisites for running the server?
Python 3.10 or later and uv for managing Python projects.