mcp-server-bigquery
The BigQuery MCP server is designed to offer large language models access to Google BigQuery for inspecting and querying databases. It supports executing SQL queries, listing tables, and describing table schemas in the BigQuery environment.
What is the purpose of the BigQuery MCP server?
The BigQuery MCP server allows LLMs to interact with Google BigQuery by executing SQL queries and inspecting database schemas.
How can I configure the BigQuery MCP server?
The server can be configured using command line arguments or environment variables, specifying details like project ID, location, and datasets.
What tools does the BigQuery MCP server provide?
It provides tools to execute queries, list tables, and describe table schemas in a BigQuery database.
Can I use the BigQuery MCP server with multiple datasets?
Yes, you can specify multiple datasets either by repeating the command line argument or by using a comma-separated list in the environment variable.
How do I debug the BigQuery MCP server?
For debugging, it is recommended to use the MCP Inspector, which can be launched via npm to provide a browser-accessible debugging interface.