pvoo/bigquery-mcp

Practical MCP server for large BigQuery datasets. Supports vector search. Keep LLM context small while staying fast and allowing only safe read-only actions.

48
/ 100
Emerging

Implements MCP (Model Context Protocol) as a stdio-based server with dual-mode tools that minimize token usage by defaulting to lightweight responses—basic dataset listings return names only, detailed metadata loads on-demand. Enforces read-only safety through query validation (SELECT/WITH statements only) and automatic cost tracking with a ~$0.50 per-query billing cap. Integrates with BigQuery's Vertex AI embeddings for semantic vector search and supports dataset access control via allowlisting.

Available on PyPI.

Maintenance 6 / 25
Adoption 11 / 25
Maturity 18 / 25
Community 13 / 25

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Stars

8

Forks

2

Language

Python

License

MIT

Last pushed

Dec 11, 2025

Monthly downloads

773

Commits (30d)

0

Dependencies

3

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