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.

47
/ 100
Emerging

This project helps data professionals and analysts interact with large BigQuery datasets using natural language. It allows you to ask questions about your data, retrieve schemas, table details, and even run safe, read-only queries. The output provides structured insights about your BigQuery environment, making it easier to navigate complex data landscapes without deep SQL knowledge.

Available on PyPI.

Use this if you want to explore and query large BigQuery datasets using natural language, discover relevant tables, understand their structure, and ensure query safety.

Not ideal if you need to perform write operations (insert, update, delete) on your BigQuery data or require a full-featured SQL client.

data-exploration bigquery-management data-analysis data-governance semantic-search
Maintenance 6 / 25
Adoption 4 / 25
Maturity 24 / 25
Community 13 / 25

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Stars

8

Forks

2

Language

Python

License

MIT

Last pushed

Dec 11, 2025

Commits (30d)

0

Dependencies

3

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