Skip to content

Latest commit

 

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 

Repository files navigation

BigQuery MCP Server by Insightful Pipe

MCP Compatible Insightful Pipe License

Connect BigQuery to AI assistants: datasets, schemas and SQL on Google Cloud.

Part of the Insightful Pipe MCP Server Collection — use BigQuery from Claude, ChatGPT, Cursor, and other AI assistants through the Model Context Protocol (MCP).

BigQuery MCP Server

MCP Server URL

https://bigquery.insightfulmcp.com/

What is BigQuery MCP?

BigQuery MCP is a remote Model Context Protocol server hosted by InsightfulPipe. Query BigQuery datasets, list tables, inspect schemas, and run SQL on your connected Google Cloud projects. The roles you grant the service account in GCP decide whether the connection is read-only or read & write.

Installation

Claude

  1. Copy the MCP Server URL: https://bigquery.insightfulmcp.com/
  2. Open Claude Connectors Settings
  3. Scroll to the bottom and click Add custom connector
  4. Paste the URL and click Add
  5. Click Connect on the connector to start authorization
  6. Click Authorize access in the browser to complete the connection

ChatGPT

Custom MCP servers are added through ChatGPT's Developer mode. Availability depends on your ChatGPT plan, and workspace admins may need to allow it.

  1. Turn on Developer mode in ChatGPT settings
  2. Create a new app for a remote MCP server and paste the URL: https://bigquery.insightfulmcp.com/
  3. Authorize with your InsightfulPipe account

See OpenAI's guide: Developer mode and MCP apps in ChatGPT

Claude Code

claude mcp add --transport http bigquery https://bigquery.insightfulmcp.com/

Cursor

Add the server to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):

{
  "mcpServers": {
    "bigquery": {
      "url": "https://bigquery.insightfulmcp.com/"
    }
  }
}

Then authorize the connection when Cursor prompts you.

Available Actions

5 actions: 4 read, 1 write.

Read Actions (4)

Action Description
get_table_metadata Get full metadata for a table or view: schema, row count, size, partitioning, expiration
get_table_schema Get the schema (column names + types) for a table or view
list_datasets List all datasets in the connected Google Cloud project
list_tables List all tables and views in a dataset

Write Actions (1)

Action Description
run_query Execute a Standard SQL query and return rows

Control What Your AI Can Do

You decide what AI agents can do with each connected account:

  • Turn individual actions on or off for every connected account, so agents only see the actions you allow.
  • Connect as Read-only or Read & Write. A read-only connection can only enable read actions.
  • Destructive actions stay off by default. Actions such as deletes are disabled until an admin enables them.
  • Team access per account. Restricted team members only use the accounts they are granted, with the read actions enabled on them.

Usage Examples

"List the datasets in my project"
"Show the schema of the events table"
"Run a query for daily sessions over the last 30 days"

Pricing

The BigQuery MCP server is included in every InsightfulPipe plan, together with all other MCP servers and the CLI. Plans start at $29.99/month with a 7-day free trial. See insightfulpipe.com/pricing for current plans.

Explore More MCP Servers by Insightful Pipe

Visit insightfulpipe.com/mcp-servers to discover our full collection of MCP servers.

View All MCP Servers →

Resources

Support


Insightful Pipe — AI-powered marketing analytics through MCP servers. Explore all integrations →

License

MIT License - see LICENSE for details.

About

BigQuery MCP server: connect BigQuery to Claude, ChatGPT, Cursor and Claude Code. Hosted remote MCP for datasets, schemas and SQL on Google Cloud.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors