Set Up Convai Analytics MCP with AI Agents Like Claude in Under 60 Seconds

Community Guides & Tutorials
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Hello everyone,

Managing and analyzing your AI character interactions just got a whole lot easier! We are excited to introduce the Convai Analytics MCP (Model Context Protocol).

In this quick video, we show you how to set up the Convai Analytics MCP with AI agents like Claude in under 60 seconds. This setup allows you to connect MCP-compatible AI tools directly to your Convai session telemetry, meaning you can query your analytics data using plain English—no more manually checking dashboards or writing custom queries!

:sparkles: What Can You Ask Your AI Agent?

Using tools like Claude, Cursor, Claude Code, Codex, or any MCP-compatible client, you can instantly extract deep insights such as:

  • :bar_chart: Usage Summary: Get a quick overview of your Convai account usage, including sessions, interactions, and overall user activity.

  • :robot: Character Insights: Understand which characters are receiving the most interactions and how users are engaging with them.

  • :stopwatch: Session Data: Analyze session-level performance and interaction trends across different time ranges.

  • :high_voltage: Latency Metrics: Query P50, P95, and P99 latency to better understand response times and optimize performance.

  • :warning: Error Insights: Identify error trends and reliability issues across your Convai experiences.

  • :chart_increasing: Dashboard View: Ask your AI agent to automatically generate a structured analytics dashboard view right from your Convai data.

:hammer_and_wrench: How It Works

Convai Analytics MCP is an open-source server that lets any STDIO MCP host query your Convai session telemetry using simply your Convai API key. In this tutorial, we specifically walk you through the setup process using Claude Desktop.

:link: Resources & Open Source Repository

Ready to start talking to your analytics data? Grab the repository and read the full guide below:

We are thrilled to bring this open-source tool to the community. Give it a try, star the repo on GitHub, and let us know what interesting insights you uncover from your data in the replies below!

Happy building!

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Only just seen this :ok_hand: nice!

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Wow this is genuinely awesome, really useful :heart_eyes: