"Plausible Analytics" matching MCP servers:

Enables querying privacy-focused website analytics from Plausible's read-only Stats API v2, with tools for overview, timeseries, breakdown, and goal performance metrics.

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.

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.

A read-only stdio-based MCP server that provides tools to query Plausible Analytics data, including listing sites, fetching statistics with metrics/dimensions/filters, and getting realtime visitor counts.

Allows AI models to query and retrieve analytics data from Plausible Analytics through the Plausible API, enabling natural language interactions with website statistics.

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.

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.

MCP server for Plausible Analytics that enables querying traffic, conversions, and comparing time periods from any AI tool supporting MCP.

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.

MCP server for Plausible Analytics, enabling querying of traffic, conversions, sources, and device breakdowns from any MCP-compatible AI assistant.

Enables teams to query Plausible Analytics from Claude using Google sign-in, with org-wide access managed through allowlisted domains or emails and no per-person API keys.

Enables querying Plausible Analytics data for website statistics, traffic, engagement, and conversions through natural language, with support for filters, dimensions, and time-series.

Provides AI assistants with read access to Clamp analytics data including pageviews, visitors, referrers, and custom events. Enables traffic analysis, conversion funnel evaluation, and metric alerts through natural language queries.

Official Google Analytics MCP Server

Privacy friendly, cookieless web analytics built MCP-first. "Add analytics to my Next.js app" → an AI agent runs the setup_analytics_for_site tool, picks the right install snippet, edits your layout file, and verifies the script is loading. OAuth onboarding, no API keys to paste.

Enables LLMs to interact with Google Analytics via Admin and Data APIs, allowing users to retrieve account summaries, run reports, and analyze realtime data.

Enables unified querying of GA4, Cloudflare Web Analytics, Vercel Analytics, and Google Search Console through a single MCP interface, with cross-tracker comparisons and discrepancy reporting.

Connects Huawei AppGallery Connect operational data to any MCP-capable AI client, letting users analyze report trends across 16 report types, crash and AppFreeze metrics, review and rating insights, and generate Markdown daily or weekly digests. All 13 tools are strictly read-only, run with zero dependencies, and keep credentials in memory only.

Enables natural language analytics queries for Pirsch Analytics, providing comprehensive website traffic statistics, period comparisons, and trend analysis through an MCP interface.

Enables LLMs to interact with Google Analytics Admin and Data APIs to retrieve account summaries, property details, and custom metrics. It allows users to run core and real-time reports to analyze website performance and configuration via natural language.