MCP Servers

BigQuery MCP Server

Enables read-only interaction with Google BigQuery, including SQL queries, dataset/table listing, schema retrieval, table preview, and metadata access via service account authentication.

README

BigQuery MCP Server

A custom MCP server for Google BigQuery with service account authentication.

Setup

Install dependencies:
```
pip install -r requirements.txt
```

Set environment variables:

export BQ_SERVICE_ACCOUNT_KEY="/path/to/your-service-account-key.json"
export BQ_PROJECT_ID="your-default-project-id"

Run the server:
```
python bigquery_mcp.py
```

Configuration for Claude Desktop / Cowork

Add this to your MCP settings (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "bigquery": {
      "command": "python",
      "args": ["/path/to/bigquery_mcp.py"],
      "env": {
        "BQ_SERVICE_ACCOUNT_KEY": "/path/to/your-service-account-key.json",
        "BQ_PROJECT_ID": "looplink-drt"
      }
    }
  }
}

Available Tools

Tool	Description
`bq_execute_sql`	Run a read-only SQL query
`bq_list_datasets`	List all datasets in a project
`bq_list_tables`	List tables in a dataset
`bq_get_table_schema`	Get column definitions for a table
`bq_preview_table`	Preview first N rows (free, no query cost)
`bq_get_table_info`	Get table metadata (rows, size, partitioning)

Notes

Only SELECT queries are allowed (safety enforced)
10 GB billing cap per query
Supports both looplink-drt and dandelion-tf-production projects via project_id parameter

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