Google Analytics MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GOOGLE_CREDENTIALS | Yes | Google Cloud service account key JSON string |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analytics_reportC | Get comprehensive Google Analytics data with custom dimensions and metrics. Can create any type of report. |
| realtime_dataC | Get real-time analytics data for current active users and activity |
| quick_insightsC | Get predefined analytics insights for common use cases |
| get_metadataA | Get available dimensions and metrics for Google Analytics property |
| search_metadataC | Search for specific dimensions or metrics by name or category |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool targets a distinct aspect of Google Analytics: general-report, metadata, predefined insights, real-time data, and metadata search. There is no overlap, and even the general reporting tool is clearly separated from the predefined insights.
Tool names mix imperative verbs ('get_', 'search_') with descriptive noun phrases ('analytics_report', 'quick_insights', 'realtime_data'). This inconsistency makes the set less predictable, though all names are still readable.
With 5 tools, the server is well-scoped for providing core analytics data access: metadata discovery, predefined insights, real-time tracking, and a flexible custom report generator. The number feels neither too few nor excessive.
The tool surface covers the main data retrieval use cases (custom reports, real-time, insights, metadata). A minor gap is the lack of a tool to list or select Google Analytics properties, which may require prior knowledge of property IDs.