Plausible Analytics FAQs

Question 1

What is the Plausible Analytics MCP Server?

Accepted Answer

It's a Model Context Protocol (MCP) server that provides programmatic access to the Plausible Analytics API, allowing you to query your website's statistics and analytics data from various compatible clients like VS Code and Claude Desktop.

Question 2

What kind of website data can I query using this tool?

Accepted Answer

You can query a wide range of data including visitors, pageviews, bounce rate, conversion rates, scroll depth, time on page, and break down insights by dimensions like country, device, traffic source, pages, and custom events. It supports historical and real-time data.

Question 3

Does it support advanced queries and filters?

Accepted Answer

Yes, it offers full Plausible API support including advanced filtering (simple, logical, behavioral), multiple dimensions, and options for ordering and pagination. It includes specialized tools like `plausible_query`, `plausible_aggregate`, `plausible_breakdown`, and `plausible_timeseries` for diverse data retrieval needs.

Question 4

What are the prerequisites to use the Plausible Analytics MCP Server?

Accepted Answer

You need Node.js 16 or higher, a Plausible Analytics account with API access, and your Plausible API key. The server can then be integrated with MCP-compatible clients like VS Code or Claude Desktop by configuring the API key as an environment variable.

Question 5

How does the server handle errors and API rate limits?

Accepted Answer

The server features robust error handling, including automatic retries with exponential backoff for failed requests, intelligent rate limit handling (respecting `Retry-After` headers), configurable timeouts, and detailed error messages for troubleshooting.

Plausible Analytics

소개

주요 기능

사용 사례