BigQuery MCP Server
A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.
what is BigQuery MCP Server?
BigQuery MCP Server is a Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets, allowing Large Language Models (LLMs) to query and analyze data through a standardized interface.
how to use BigQuery MCP Server?
To use the BigQuery MCP Server, set up authentication, add your Google Cloud project details to Claude Desktop's configuration, and start chatting with your BigQuery data using plain English queries.
key features of BigQuery MCP Server?
- Run SQL queries by asking questions in natural language.
- Access both tables and materialized views in datasets.
- Explore dataset schemas with clear labeling.
- Analyze data within a 1GB query limit, ensuring data security with read-only access.
use cases of BigQuery MCP Server?
- Querying sales data to find trends.
- Analyzing customer behavior through BigQuery datasets.
- Generating reports by simply asking about the data.
FAQ from BigQuery MCP Server?
- What LLMs can use the MCP Server?
Currently, it is designed for use with Claude Desktop.
- Is there a limit on query size?
Yes, there is a 1GB processing limit per query.
- Can I modify the data in BigQuery?
No, the server provides read-only access for security.
what is BigQuery MCP Server?
BigQuery MCP Server is a Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery datasets, allowing Large Language Models (LLMs) to query and analyze data through a standardized interface.
how to use BigQuery MCP Server?
To use the BigQuery MCP Server, set up authentication, add your Google Cloud project details to Claude Desktop's configuration, and start chatting with your BigQuery data using plain English queries.
key features of BigQuery MCP Server?
- Run SQL queries by asking questions in natural language.
- Access both tables and materialized views in datasets.
- Explore dataset schemas with clear labeling.
- Analyze data within a 1GB query limit, ensuring data security with read-only access.
use cases of BigQuery MCP Server?
- Querying sales data to find trends.
- Analyzing customer behavior through BigQuery datasets.
- Generating reports by simply asking about the data.
FAQ from BigQuery MCP Server?
- What LLMs can use the MCP Server?
Currently, it is designed for use with Claude Desktop.
- Is there a limit on query size?
Yes, there is a 1GB processing limit per query.
- Can I modify the data in BigQuery?
No, the server provides read-only access for security.
