The CoreMedia Engagement Cloud Metrics MCP Server enables AI assistants to securely access web analytics from CoreMedia Engagement Cloud (CMEC) through the Model Context Protocol (MCP). It integrates seamlessly with CoreMedia KIO via its MCP extension capabilities, allowing editors, marketers, and business users to explore content performance and visitor behavior using natural language.

 Business teams benefit from conversational access to actionable insights, helping them identify top-performing content, analyze traffic trends, and make informed, data-driven decisions without navigating traditional analytics dashboards.

Install

As an open source project, the Metrics MCP Server can be easily adopted, extended, and integrated into existing CoreMedia solutions. The source code and documentation are available on GitHub.

Example Questions for CoreMedia KIO

Once the MCP server is connected to CoreMedia KIO, users can ask questions such as:

Content Performance

• Which are the top 10 most visited pages on this site?
• Show me the pages with the highest exit rate.
• Which content has gained the most traffic during the last month?

Audience & Geography

• Which countries generate the most traffic for this page?
• Show the top pages for visitors from Germany.
• Which regions have the highest engagement?

Devices & Browsers

• How are visitors to this page split across desktop, mobile, and tablet?
• Which browsers are most commonly used by visitors?
• Compare page performance across different device types.

Traffic Sources

• Where does traffic to this page come from?
• Show the traffic sources for the top pages on this site.
• Which acquisition channel drives the most visitors?

Visitor Segments

• Which visitor segments are most active on this page?
• Compare engagement across visitor segments.
• Which audience segment generates the most visits?

Trends Over Time

• How has traffic to this page developed over the past six months?
• Show monthly visits for this page.
• Compare this month's performance with the previous month.

Typical Use Cases

• Enable editors to explore content performance without leaving CoreMedia KIO.
• Give marketers instant access to analytics through natural language.
• Support business stakeholders with conversational reporting and KPI exploration.
• Build AI-powered dashboards and assistants using standardized MCP tools.
• Integrate CMEC analytics into custom AI workflows and applications.

Open Source

The CoreMedia Engagement Cloud Metrics MCP Server is an open source project. Developers can use it as-is, extend it with additional analytics capabilities, or integrate it into their own CoreMedia and AI solutions.