Google Analytics
This Google Analytics MCP server, developed by Ru Chen Chong, integrates Google Analytics 4 (GA4) data with AI assistants. It leverages the Google Analytics Data API to provide a streamlined interface for accessing web analytics metrics. The server offers operations for retrieving page views, active users, event data, and user behavior statistics with customizable date ranges and dimensions. By connecting AI systems with GA4's powerful analytics capabilities, this implementation enables assistants to analyze website performance, user engagement, and traffic patterns programmatically. It is particularly useful for marketing teams, web developers, and data analysts looking to incorporate real-time web analytics into their AI-driven decision-making processes or automated reporting systems.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- data-analytics
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Google Analytics from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.