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Betterlytics

Query Betterlytics analytics for traffic, funnels, journeys, events, errors, and uptime through MCP.

Install Betterlytics

Pick your client, then add it in one click or paste the config.

Streamable HTTP (Remote)
Server URL
https://betterlytics.io/api/mcp

Remote servers are added in the app, not the config file: Customize → Connectors → Add custom connector, then paste this URL.

Hosted endpointLive · TodayLive Remote EndpointOur automated health check connected to this remote MCP endpoint successfully.Last checked 11/8/2026, 9:45:31 PM

Clients with native remote MCP support can connect directly to this URL.

Remote endpoint
https://betterlytics.io/api/mcp

Overview

Betterlytics MCP server connects AI agents to Betterlytics web analytics and monitoring data. It lets Claude, Codex, and other MCP clients query traffic, funnels, user journeys, events, errors, and uptime information. Reach for it when an agent needs to investigate website performance or behavior using data from a Betterlytics deployment. Betterlytics itself combines analytics, session replay, error tracking, Core Web Vitals, and uptime monitoring in one platform.

Use cases

  • Investigate traffic and visitor trends
  • Analyze funnels and user journeys
  • Review captured events and client-side errors
  • Check uptime and website monitoring data

Key features

  • Query traffic and real-time analytics
  • Inspect funnels and user journeys
  • Review custom events and captured errors
  • Access uptime and monitoring data
  • Connect Claude, Codex, or other MCP clients

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

24/29 checks healthy over the last 90d

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars180Stargazers on the source repository.
Last commitTodayMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Directory activity2 viewsConfig copies, upvotes, and views on AllMCPs.

How Betterlytics works

What Betterlytics does

Betterlytics MCP server gives AI agents access to data from the Betterlytics analytics and monitoring platform. Queries can cover core web analytics such as page views, visitors, bounce rate, traffic sources, geographic information, device data, real-time activity, and custom events. The MCP integration also supports more focused analysis of funnels, user journeys, errors, and uptime.

The underlying Betterlytics product combines several website observability functions in one system. Alongside analytics, it includes session replay, client-side error tracking with grouped errors and stack traces, Core Web Vitals, SSL certificate monitoring, uptime monitoring, and public status pages. The MCP server is intended for querying these data areas through an AI client rather than replacing the Betterlytics dashboard.

How it works

Betterlytics includes a built-in MCP server. An MCP-compatible AI application connects to Betterlytics and submits questions or requests about the available analytics and monitoring data. The repository specifically identifies Claude and Codex as supported AI-agent use cases and describes the service as usable by MCP clients generally.

This makes the server useful for conversational investigation: an agent can inspect traffic patterns, examine conversion funnels, follow journeys, review captured events, investigate client-side errors, or check uptime-related data. The exact analytics available to an agent depend on the data collected by the connected Betterlytics instance.

Betterlytics is designed as a broader monitoring platform rather than a single-purpose traffic counter. Its data model can bring analytics, replay, errors, performance measurements, and uptime information together for analysis. The platform supports cookieless tracking, data anonymization, and EU hosting, with self-hosting available for teams that want to operate the service on their own infrastructure.

Setup and configuration

Betterlytics is available as a managed cloud service or as a self-hosted deployment. Cloud accounts are hosted on EU-based infrastructure, include a free tier, and receive managed updates. Self-hosted installations run on infrastructure controlled by the user and are installed manually with Docker; updates and operating costs are then managed by that user.

The MCP capability is built into Betterlytics. Teams can therefore choose the cloud or self-hosted deployment model before connecting an MCP-compatible client. The available product also includes role-based access control, two-factor authentication, and OAuth sign-in through Google or GitHub, which can be relevant when deciding how an organization should manage access.

Betterlytics is open source under the AGPL-3.0 license. Its broader collection and hosting model are aimed at privacy-conscious deployments: tracking is cookieless, the service supports GDPR, CCPA, and PECR readiness, and self-hosting keeps the data on the operator's own servers.

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Frequently Asked Questions about Betterlytics

Betterlytics is an MCP server that connects AI agents to the Betterlytics web analytics and monitoring platform. Its main tools query traffic, funnels, user journeys, events, errors, and uptime data. It is built into Betterlytics and can be used with Claude, Codex, and other MCP-compatible clients.

Use Betterlytics as a managed cloud service or deploy it yourself with Docker. The MCP capability is built into the platform, so choose a cloud or self-hosted deployment and then connect an MCP-compatible client to Betterlytics.

Yes, Betterlytics supports self-hosting through a manual Docker installation. Your team manages the infrastructure, updates, and operating costs, while the deployment keeps the service on your own servers.

Betterlytics can query traffic, funnels, user journeys, events, errors, and uptime data through MCP. The broader platform also collects page views, visitors, traffic sources, device and geographic insights, real-time activity, Core Web Vitals, and session replay data.

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