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bigquery-mcp-server

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

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Last scanned: 10/21/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/Insightful-Pipe/bigquery-mcp-server
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "bigquery": {
      "command": "node",
      "args": ["/path/to/bigquery-mcp-server/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/Insightful-Pipe/bigquery-mcp-server and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

# BigQuery MCP Server by Insightful Pipe

[![MCP Compatible](https://img.shields.io/badge/MCP-Compatible-blue)](https://insightfulpipe.com/mcp-servers/bigquery)
[![Insightful Pipe](https://img.shields.io/badge/Insightful_Pipe-MCP_Servers-purple)](https://insightfulpipe.com/mcp-servers)
[![License](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)

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

Part of the [Insightful Pipe MCP Server Collection](https://insightfulpipe.com/mcp-servers) — use BigQuery from Claude, ChatGPT, Cursor, and other AI assistants through the Model Context Protocol (MCP).

<img src="images/bigquery-icon.svg" alt="BigQuery MCP Server" width="64" height="64">

## 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](https://claude.ai/settings/connectors)
3. Scroll to the bottom and click **Add custom connector**
4. Paste the URL and click **Add**
5. 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.

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. 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](https://help.openai.com/en/articles/12584461-developer-mode-and-mcp-apps-in-chatgpt)

### Claude Code

```bash
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):

```json
{
  "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](https://insightfulpipe.com/pricing) for current plans.

## Explore More MCP Servers by Insightful Pipe

Visit **[insightfulpipe.com/mcp-servers](https://insightfulpipe.com/mcp-servers)** to discover our full collection of MCP servers.

- [PostgreSQL MCP](https://insightfulpipe.com/mcp-servers/postgresql)
- [MySQL MCP](https://insightfulpipe.com/mcp-servers/mysql)
- [SQL Server MCP](https://insightfulpipe.com/mcp-servers/mssql)

**[View All MCP Servers →](https://insightfulpipe.com/mcp-servers)**

## Resources

- [Documentation](https://insightfulpipe.com/docs)
- [Video Tutorial](https://www.youtube.com/playlist?list=PLJNzvjxzI5Xwe__BJJLAelSF0ewO3mEFk)
- [InsightfulPipe Blog](https://insightfulpipe.com/blog)

## Support

- **Documentation**: [insightfulpipe.com/docs](https://insightfulpipe.com/docs)
- **All MCP Servers**: [insightfulpipe.com/mcp-servers](https://insightfulpipe.com/mcp-servers)
- **Email**: support@insightfulpipe.com

---

**[Insightful Pipe](https://insightfulpipe.com)** — AI-powered marketing analytics through MCP servers. [Explore all integrations →](https://insightfulpipe.com/mcp-servers)

## License

MIT License - see [LICENSE](LICENSE) for details.
ai-agentsbigquerychatgptclaudecursordata-warehousegoogle-cloudmcpmcp-servermodel-context-protocolsql

Lo que la gente pregunta sobre bigquery-mcp-server

¿Qué es Insightful-Pipe/bigquery-mcp-server?

+

Insightful-Pipe/bigquery-mcp-server es mcp servers para el ecosistema de Claude AI. BigQuery MCP server: connect BigQuery to Claude, ChatGPT, Cursor and Claude Code. Hosted remote MCP for datasets, schemas and SQL on Google Cloud. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-10-10.

¿Cómo se instala bigquery-mcp-server?

+

Puedes instalar bigquery-mcp-server clonando el repositorio (https://github.com/Insightful-Pipe/bigquery-mcp-server) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

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+

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+

Insightful-Pipe/bigquery-mcp-server es mantenido por Insightful-Pipe. La última actividad registrada en GitHub es del 2026-10-10, con 0 issues abiertos.

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