What are the prerequisites for Beanquery MCP?
Python 3.10 or later and uv (recommended) for managing the project.
@vanto
基本情報
Beancount MCP Server is an experimental implementation that utilizes the Model Context Protocol (MCP) to enable AI assistants to query and analyze Beancount ledger files using Beancount Query Language (BQL) and the beanquery tool.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"beanquery-mcp": {
"command": "uv",
"args": [
"run",
"mcp",
"install",
"server.py",
"-v",
"BEANCOUNT_LEDGER=$(pwd)/sample.bean",
"--with",
"beancount",
"--with",
"beanquery"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Beanquery MCP is an experimental Model Context Protocol (MCP) server that interfaces with Beancount ledger files. It uses the Beancount Query Language (BQL) and the beanquery tool to enable querying and analysis of financial data, allowing AI assistants to interact with Beancount ledgers through a standardized protocol.
Install with Python 3.10+ and uv (recommended). Run in development mode using mcp dev server.py. Install into Claude Desktop with mcp install server.py, optionally setting the BEANCOUNT_LEDGER environment variable. Use the run_query tool to execute BQL queries and the set_ledger_file tool to specify a ledger file. Access resources at beanquery://tables and beanquery://accounts.
Python 3.10 or later and uv (recommended) for managing the project.
Use the `set_ledger_file` tool or set the `BEANCOUNT_LEDGER` environment variable when installing.
It provides `run_query` to run BQL queries and `set_ledger_file` to specify the ledger file.
No, the server is experimental and may undergo significant changes. Use in a development environment.
Yes, parts of your ledger may be transmitted to LLM providers via MCP. The README includes a privacy warning and recommends caution, especially with sensitive data.

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