LucasHild/mcp-server-bigquery

Overview

An open-source Model Context Protocol server that exposes BigQuery as a tool for AI models. It enables models like Claude to query BigQuery databases by wrapping SQL operations in MCP endpoints. Built in Python and maintained by the community.

Best for

Best for
Developers who want to give AI assistants live query access to BigQuery datasets via the Model Context Protocol

Use cases

• Letting an AI assistant run BigQuery SQL queries on demand
• Integrating BigQuery data retrieval into MCP-compatible chat interfaces
• Building automated data exploration workflows that use natural language to query BigQuery

Notes

An open-source Model Context Protocol server that exposes BigQuery as a tool for AI models. It enables models like Claude to query BigQuery databases by wrapping SQL operations in MCP endpoints. Built in Python and maintained by the community.

126 stars on GitHub. Last updated 2026-03-26. Licensed MIT.

Use cases

• Letting an AI assistant run BigQuery SQL queries on demand
• Integrating BigQuery data retrieval into MCP-compatible chat interfaces
• Building automated data exploration workflows that use natural language to query BigQuery

Pros

• Simple setup for developers already using BigQuery and MCP
• Lightweight Python implementation easy to extend or debug
• Directly bridges AI models with a major cloud data warehouse

Cons

• Requires manual BigQuery authentication and service account setup
• Limited to the MCP protocol, not a general-purpose BigQuery client
• Community-driven with modest adoption and documentation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.