Ergut MCP Bigquery Server
This is a server that allows an LLM (such as Claude) to directly interact with the BigQuery database. It acts as a secure translation layer between the AI assistant and the database, supporting data query in natural language without manually writing SQL.
rating : 2 points
downloads : 8
What is the BigQuery MCP Server?
This is a server that acts as a translator between the AI assistant and the BigQuery database, allowing you to query data in natural language without writing SQL. It is based on the Model Context Protocol (MCP) and currently supports Claude Desktop.How to use the BigQuery MCP Server?
Simply complete the authentication configuration and add project information to the Claude Desktop configuration file, and you can start querying data in natural language.Applicable scenarios
Suitable for business personnel, data analysts, and product managers who need to frequently query BigQuery data but do not want to write SQL.Main features
Natural language queryGet data by asking questions in everyday English without writing SQL
Schema explorationClearly display the dataset structure and distinguish between tables and views
Data securityRead-only access with a default query limit of 1GB
Advantages and limitations
Advantages
Query data without SQL knowledge
Support access to tables and views
Secure read-only access
Seamless integration with Claude
Limitations
Currently only supports Claude Desktop
Only local MCP server connections are allowed
There is a 1GB processing limit for queries
There may be limitations for certain complex view types
How to use
Installation preparation
Ensure that Node.js 14+ and Google Cloud CLI are installed
Authentication configuration
Choose to log in with Google Cloud CLI or use a service account
Add to Claude configuration
Modify the claude_desktop_config.json file
Usage examples
Sales data analysisQuery sales performance within a specific time period
Customer insightsGet information about high-value customers
Frequently asked questions
What permissions are required to use it?
Which AI models are supported?
Are there any query limitations?
Related resources
GitHub repository
Project source code and issue tracking
Smithery protocol page
Official protocol documentation
OREDATA official website
Project sponsor website
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