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Tool connections (MCP)

Google Analytics MCP

googleanalytics/google-analytics-mcp

Let an assistant read Google Analytics reports and realtime data you can access.

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What is Google Analytics MCP?

Prepared by LessAI Tools from public project documentation

Google's experimental MCP reads Analytics account details, properties and reports through the Admin and Data APIs. It suits website owners already using GA4. It requires Python 3.10 or later, enabled APIs and Google credentials with access to the relevant property. It uses read-only Analytics authorization and does not install tracking on your site. Assistant and related-service charges remain separate.

Google Analytics MCP setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Google Analytics MCP use cases

  • Read account and property details
  • Retrieve traffic and funnel reports
  • Query realtime reporting data

Official project & documentation

View source code ↗Setup and usage guide ↗

Alternatives to Google Analytics MCP for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • DBHub — Connect an assistant to PostgreSQL, MySQL, SQLite and other SQL databases.
  • Brave Search MCP — Add web, news, image and video search to an AI assistant.
  • ClickHouse MCP — Let an assistant inspect ClickHouse tables and query analytical data.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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