BigQuery MCP by InsightfulPipe
RemoteAbout BigQuery MCP by InsightfulPipe
A hosted MCP server for querying BigQuery datasets, inspecting tables and schemas, and running SQL on connected Google Cloud projects. It is intended for teams working with BigQuery, with access determined by service-account roles and per-account action controls.
Key features
- 01List datasets, tables, and views
- 02Inspect table metadata and schemas
- 03Run Standard SQL queries
- 04Control actions per account
Use cases
- 01Explore datasets in a project
- 02Check a table’s columns and types
- 03Query daily session totals
- 04Restrict AI access to read actions
MCP support
Exposes BigQuery metadata and query actions to MCP clients through a hosted remote server. Service-account roles and account-level controls determine whether access is read-only or read and write.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://bigquery.insightfulmcp.com/claude mcp add --transport http com-insightfulpipe-bigquery https://bigquery.insightfulmcp.com/{"mcpServers":{"com-insightfulpipe-bigquery":{"type":"http","url":"https://bigquery.insightfulmcp.com/"}}}Open in Cursor{"servers":{"com-insightfulpipe-bigquery":{"type":"http","url":"https://bigquery.insightfulmcp.com/"}}}Open in VS Code{"mcpServers":{"com-insightfulpipe-bigquery":{"type":"http","url":"https://bigquery.insightfulmcp.com/"}}}{"mcpServers":{"com-insightfulpipe-bigquery":{"serverUrl":"https://bigquery.insightfulmcp.com/"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEBigQuery MCP Server by Insightful Pipe
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).
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
- Copy the MCP Server URL:
https://bigquery.insightfulmcp.com/ - Open Claude Connectors Settings
- Scroll to the bottom and click Add custom connector
- Paste the URL and click Add
- Click Connect and sign in to InsightfulPipe if asked. Claude then lists the connector as connected.
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.
- Turn on Developer mode in ChatGPT settings
- Create a new app for a remote MCP server and paste the URL:
https://bigquery.insightfulmcp.com/ - Sign in to InsightfulPipe if asked. The connection finishes as soon as you are signed in.
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/"
}
}
}
When Cursor shows Needs authentication, click Connect and sign in to InsightfulPipe if asked.
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, and you can try it for 7 days. 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.
Resources
Support
- Documentation: insightfulpipe.com/docs
- All MCP Servers: insightfulpipe.com/mcp-servers
- Email: [email protected]
Insightful Pipe — AI-powered marketing analytics through MCP servers. Explore all integrations →
License
MIT License - see LICENSE for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.