Plausible Analytics is a simple, open-source, lightweight and privacy-friendly web analytics tool that doesn't use cookies and is compliant with privacy regulations like GDPR and CCPA.
Provides tools for interacting with the Plausible Analytics API, enabling retrieval of aggregate stats, segmented breakdowns, realtime visitor counts, and timeseries trend data from Plausible Cloud or self-hosted instances.
Enables AI agents to query a privacy-focused analytics service for aggregate stats, breakdowns, realtime visitors, and time-series trends across cloud or self-hosted deployments. It also provides connectivity checks and guided analytics playbooks.
8
MIT
Why this server?
Provides tools for querying a self-hosted Plausible Analytics instance, including aggregate stats, top pages, traffic breakdown by source/country/device, timeseries trends, site discovery, and health checks.
Enables querying a self-hosted Plausible Analytics instance to retrieve compressed analytics data such as overview stats, top pages, traffic sources, and trends, with computed deltas and human-readable filters.
6
18 npm
MIT
Why this server?
Provides tools to query traffic and conversion metrics from Plausible Analytics, including timeseries, breakdowns, conversions, and period comparisons.
MCP server for Plausible Analytics that enables querying traffic, conversions, and comparing time periods from any AI tool supporting MCP.
4
23 npm
50
MIT
Why this server?
Provides tools for querying traffic, conversions, sources, device breakdowns, real-time visitors, and other analytics from Plausible Analytics, supporting various metrics, dimensions, filters, and date ranges.
MCP server for Plausible Analytics, enabling querying of traffic, conversions, sources, and device breakdowns from any MCP-compatible AI assistant.
12
43 npm
MIT
Why this server?
Provides read-only tools for querying website traffic from Plausible Analytics, including aggregate totals, timeseries trends, top-N breakdowns, realtime visitor counts, and site access checks.
Lets MCP clients answer questions about website traffic using Plausible Analytics Stats API v2 through read-only tools for totals, trends, breakdowns, and realtime visitors.
5
MIT
Why this server?
Enables querying Plausible Analytics traffic, conversions, and comparisons across time periods. Provides tools for time series metrics, breakdowns by page/source/country/device, goal conversion rates, and period comparisons.
Enables AI tools that support the Model Context Protocol to query Plausible Analytics traffic and conversion data, break metrics down by page, source, country, device, and UTM parameters, and compare two date ranges side by side. All query tools are read-only and work with either a hosted bring-your-own-key endpoint or a local STDIO install.
4
23 npm
MIT
Why this server?
Allows AI models to query analytics data from Plausible, enabling access to website traffic statistics and generating analytics reports for specified domains.
Allows AI models to query and retrieve analytics data from Plausible Analytics through the Plausible API, enabling natural language interactions with website statistics.
1
8
MIT
Why this server?
Provides tools to query website statistics from Plausible Analytics, including real-time visitor counts, aggregate metrics like visitors and pageviews, traffic trends, and detailed breakdowns by dimensions such as pages, sources, and geography.
Enables AI assistants to query website statistics from Plausible Analytics, providing access to metrics like real-time visitors, traffic trends, and page performance. It supports both Plausible Cloud and self-hosted instances through the Stats API v2.
6
23 npm
1
MIT
Why this server?
Provides tools for reading Plausible Analytics data, including sites, realtime visitors, aggregates, time series, breakdowns, and period comparisons, with natural-language date resolution in the site's timezone.
MCP server that provides read access to Plausible Analytics data with natural-language date resolution, enabling users to query analytics like 'yesterday' or 'last week' without needing to know exact date formats.