The BigQuery MCP server allows AI agents to query and retrieve data from Google BigQuery. It exposes SQL query execution, table metadata retrieval, and dataset management. It connects directly to BigQuery's REST API. Developers use it to integrate BigQuery data into AI workflows, enabling data analysis, reporting, and insights generation.
The BigQuery MCP server allows AI agents to query and retrieve data from Google BigQuery. It exposes SQL query execution, table metadata retrieval, and dataset management. It connects directly to BigQuery's REST API. Developers use it to integrate BigQuery data into AI workflows, enabling data analysis, reporting, and insights generation.
pip install mcp-server-bigqueryAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"lucashild-mcp-server-bigquery-github": {
"command": "uvx",
"args": [
"pip install mcp-server-bigquery"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from bigquery?"
API Key Required
This server requires an API key from bigquery. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| BIGQUERY_API_KEY | Yes | Your bigquery API key |
"What resources are available in bigquery?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in bigquery"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in bigquery with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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