Looker MCP MCP Server

About

## Looker MCP Server: Enterprise BI Platform The **Looker MCP Server** integrates Google's Looker BI platform into Google Antigravity. This enables semantic modeling, enterprise dashboards, and embedded analytics with governed data access. ### Why Looker MCP? Looker brings enterprise BI: - **Semantic Layer**: LookML data modeling - **Governed Access**: Role-based data security - **Embedded Analytics**: White-label embedding - **Google Cloud**: Native BigQuery integration - **API First**: Comprehensive API access ### Key Features #### 1. Run Queries ```python import looker_sdk sdk = looker_sdk.init40() # Run inline query query = sdk.create_query({ "model": "ecommerce", "view": "orders", "fields": ["orders.count", "orders.total_revenue"], "filters": {"orders.created_date": "last 7 days"} }) results = sdk.run_query(query.id, "json") ``` #### 2. Dashboard Management ```python # List dashboards dashboards = sdk.all_dashboards() # Get dashboard dashboard = sdk.dashboard(dashboard_id) # Run dashboard results = sdk.run_dashboard(dashboard_id) ``` #### 3. Embed Analytics ```python # Generate embed URL embed_user = { "external_user_id": "user-123", "first_name": "John", "last_name": "Doe", "permissions": ["access_data", "see_looks"], "models": ["ecommerce"] } embed_url = sdk.create_sso_embed_url({ "target_url": f"/embed/dashboards/{dashboard_id}", "session_length": 3600, **embed_user }) ``` ### Configuration ```json { "mcpServers": { "looker": { "command": "npx", "args": ["-y", "@anthropic/mcp-looker"], "env": { "LOOKERSDK_BASE_URL": "https://your.looker.com", "LOOKERSDK_CLIENT_ID": "your-client-id", "LOOKERSDK_CLIENT_SECRET": "your-secret" } } } } ``` ### Use Cases **Enterprise Analytics**: Governed data exploration. **Embedded BI**: Customer-facing analytics. **Data Modeling**: Consistent metric definitions. The Looker MCP Server brings enterprise BI to Antigravity.

Installation

{
  "mcpServers": {
    "looker": {}
  }
}

How to Use