BigQuery MCP
data
Ask your BigQuery anything
Pull reports, find insights, and take action on BigQuery.
Just ask. No dashboards, no exports, no waiting.
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Available Actions
5 actions available to automate your BigQuery workflows.
Read Actions (4)
List Datasets
ReadList all datasets in the connected Google Cloud project.
List Tables
ReadList all tables and views in a dataset.
Get Table Schema
ReadGet the column names and types for a table or view.
Get Table Metadata
ReadGet full table metadata: schema, row count, size, and partitioning.
Write Actions (1)
Run Query
WriteExecute a Standard SQL query and return rows.
How to Use This MCP Server
MCP Server URL
https://bigquery.insightfulmcp.com/Connect to Claude
- 1Copy this URL:
https://bigquery.insightfulmcp.com/ - 2Click Claude Connectors Settings to open the settings page
- 3Scroll to the bottom and click Add custom connector
- 4Paste the URL and click Add
- 5Click Connect on the connector to start authorization
- 6Click Authorize access in the browser to complete the connection
That's it! Start a new chat, open the Connectors panel, and turn on the connector to use it.
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BigQuery MCP vs Traditional Methods
See why marketers prefer MCP connectors over manual exports and API integrations.
| Feature | MCP Server | Manual Export | Raw API |
|---|---|---|---|
| Natural language queries | ✓ | ✗ | ✗ |
| Real-time data access | ✓ | ✗ | ✓ |
| No coding required | ✓ | ✓ | ✗ |
| AI-powered insights | ✓ | ✗ | ✗ |
| Cross-platform analysis | ✓ | ✗ | ✗ |
| Setup time | 5 minutes | Ongoing | Days/Weeks |