A
licenseNot graded
qualityB
maintenanceEnables AI assistants to query BigQuery read-only via MCP with enforced dataset boundaries, result limits, and audit labels.
MIT
bq-guard-mcp
by rk-chavali
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TDQS
A3.9/5.0
Scored across 5 tools
Disambiguation5/5
Each tool targets a distinct action: listing datasets, listing tables, describing a table, dry-running a query, and running a query. There is no overlap or ambiguity between them.
Naming Consistency5/5
All tool names follow a consistent verb_noun snake_case pattern (list_datasets, list_tables, describe_table, dry_run, run_query). The naming is predictable and uniform.
Tool Count5/5
Five tools is well-scoped for a BigQuery guard server, covering metadata exploration and query execution without excess or redundancy. Each tool earns its place.
Completeness4/5
The surface covers the core workflow: discover datasets, browse tables, inspect schema, estimate cost, and run queries. Minor gaps like dataset-level metadata or query cancellation are not essential for the stated purpose.
Maintenance
ActivityMaintained
ResponsivenessNo issues