BigQuery MCP Server
by LucasHild
A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.
Last updated: N/A
What is BigQuery MCP Server?
The BigQuery MCP server is a tool that allows Large Language Models (LLMs) to interact with Google BigQuery. It implements the Model Context Protocol, enabling LLMs to inspect database schemas and execute SQL queries.
How to use BigQuery MCP Server?
The server is configured with a GCP project ID and location. It can be installed via Smithery or manually configured in Claude Desktop. Once installed, LLMs can use the provided tools to list tables, describe table schemas, and execute SQL queries against the BigQuery database.
Key features of BigQuery MCP Server
Execute SQL queries using BigQuery dialect
List all tables in the BigQuery database
Describe the schema of a specific table
Integration with Smithery for easy installation
Use cases of BigQuery MCP Server
Allowing LLMs to answer questions based on data stored in BigQuery
Enabling LLMs to generate reports from BigQuery data
Automating data analysis tasks using LLMs and BigQuery
Providing LLMs with context about the database schema before generating SQL queries
FAQ from BigQuery MCP Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a protocol that enables LLMs to interact with external tools and services.
What is BigQuery?
What is BigQuery?
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data.
How do I install the BigQuery MCP server?
How do I install the BigQuery MCP server?
You can install it via Smithery or manually configure it in Claude Desktop.
What configuration is required?
What configuration is required?
The server requires a GCP project ID and location. Optionally, you can specify specific datasets to consider.
How do I debug the server?
How do I debug the server?
The best debugging experience is with the MCP Inspector.