Mixpanel
Let your coding agent query Mixpanel funnels, retention, cohorts, and event breakdowns while you iterate on activation and churn without living in the analytics UI.
Overview
com.mcparmory/mixpanel is a MCP server for the Grow phase that lets agents analyze user behavior with Mixpanel funnels, retention, cohorts, and event segmentation.
What is this MCP server?
- Analyze funnels and conversion paths through MCP tools instead of manual dashboard clicks
- Run retention and cohort analyses from chat-driven product questions
- Segment events to compare cohorts, features, or rollout variants
- Ships as stdio MCP with uvx (PyPI mcparmory-mixpanel 1.0.2) or Docker OCI image
- Pairs with agent workflows for weekly metrics reviews and experiment readouts
- Server version 1.0.2
- 2 package options: PyPI uvx (mcparmory-mixpanel) and OCI Docker (ghcr.io/mcparmory/mixpanel:1.0.2)
- stdio MCP transport
Community signal: 25 GitHub stars.
What problem does it solve?
Switching between your editor and Mixpanel dashboards breaks flow when you need quick funnel or retention answers while shipping growth fixes.
Who is it for?
Solo builders with Mixpanel already instrumented who want agent-assisted analytics during sprints and experiment reviews.
Skip if: Teams without Mixpanel data, or anyone who needs a no-code analytics UI instead of API-driven queries through an agent.
What do I get? / Deliverables
After you register the server, your agent can fetch behavioral analytics context on demand so growth investigations stay inside the same session as code changes.
- Agent-callable Mixpanel funnel and conversion analyses
- Retention and cohort summaries grounded in project events
- Segmented event views for comparisons across user or feature dimensions
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Journey fit
Product analytics sits in the Grow phase once you have users and events to measure, not during initial build or launch-only distribution work. Funnels, retention, cohorts, and segmentation are classic analytics subphase tasks for understanding behavior and lifecycle performance.
How it compares
MCP analytics bridge to Mixpanel, not a standalone skill or embedded chart widget.
Common Questions / FAQ
Who is com.mcparmory/mixpanel for?
Indie and solo builders using Mixpanel who want Claude Code, Cursor, or similar agents to run funnels, retention, cohorts, and segmentation without leaving the dev environment.
When should I use com.mcparmory/mixpanel?
Use it in the Grow phase when you are diagnosing activation, retention, or feature usage and need repeatable analytics pulls while iterating on product or messaging.
How do I add com.mcparmory/mixpanel to my agent?
Add an MCP stdio server entry pointing at uvx mcparmory-mixpanel (1.0.2) or the ghcr.io/mcparmory/mixpanel:1.0.2 image, with Mixpanel credentials configured per the mcparmory registry docs.