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.
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.
pip install beanquery-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"vanto-beanquery-mcp-github": {
"command": "uvx",
"args": [
"pip install beanquery-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from beanquery mcp?"
No configuration required. This server works out of the box.
"What resources are available in beanquery mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in beanquery mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in beanquery mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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