What are the prerequisites for Beanquery MCP?
Python 3.10 or later and uv (recommended) for managing the project.
@vanto
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"beanquery-mcp": {
"command": "uv",
"args": [
"run",
"mcp",
"install",
"server.py",
"-v",
"BEANCOUNT_LEDGER=$(pwd)/sample.bean",
"--with",
"beancount",
"--with",
"beanquery"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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