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Google Analytics 4

Google Analytics 4 MCP Server provides AI assistants with direct access to GA4 analytics data through a standardized interface. Developed by Surendran B, this Python implementation uses the Google Analytics Data API to retrieve metrics and dimensions from GA4 properties, exposing tools for exploring available data categories and running customized reports with flexible date ranges. The server authenticates via Google service account credentials and requires minimal configuration through environment variables. Particularly valuable for teams wanting to analyze website or app performance metrics, track user behavior patterns, and generate data-driven insights directly through AI assistant interactions without leaving their workflow.

Cognium trust score

89%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: data-analytics
Source: PulseMCP
Repository: github.com/surendranb/google-analytics-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Google Analytics 4 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"