Google Analytics MCP Server connects Google Analytics 4 data to MCP clients such as Claude and Cursor, enabling natural language querying over 200+ GA4 dimensions and metrics. It supports GA4 property access via a service account and provides built-in safeguards to manage data volume, including automatic row estimation, warnings when results would exceed 2,500 rows, and optimization suggestions. The server performs server-side processing with intelligent aggregation, smart sorting, and efficient filtering to improve response quality and prevent context-window crashes. A set of discovery and reporting tools is exposed, including search_schema, get_ga4_data, list_dimension_categories, list_metric_categories, get_dimensions_by_category, get_metrics_by_category, and get_property_schema. The MCP can be deployed via pip or by downloading from GitHub, with a configurable MCP JSON specifying command, arguments, and environment variables like GA4_PROPERTY_ID and GOOGLE_APPLICATION_CREDENTIALS. The project includes a ga4_mcp module with server, coordinator, and tools for data reporting and metadata. The MCP targets users who want to analyze website traffic, user behavior, and e-commerce metrics using natural language queries across GA4 data.