Beanquery (Beancount Ledger)
Beancount MCP Server enables AI assistants to query and analyze Beancount ledger files using Beancount Query Language (BQL). Developed by Tammo van Lessen, this implementation provides tools to set ledger files and run BQL queries against them, returning tabular results that can be used for financial analysis. The server exposes resources for discovering available tables and accounts in the ledger, making it easier for AI assistants to formulate relevant queries. Ideal for personal finance tracking, expense analysis, and generating financial reports from Beancount data without requiring direct access to the beanquery command-line tool.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/vanto/beanquery-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Beanquery (Beancount Ledger) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.