Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "retentioneering-tool": {
      "command": "uvx",
      "args": [
        "retentioneering-tools"
      ]
    }
  }
}

Or install with pip: pip install retentioneering-tools

README Excerpt

**Retentioneering is an open-source Python toolkit, MCP server, and collection of agent skills for reproducible product analytics on clickstream and event log data.** Instead of relying on one-off scripts generated for a single question, analysts and AI agents can use tested analytical primitives and reusable workflows to inspect customer journeys, explore graph-based user flows, discover behavioral segments, evaluate experiments, and cross-check results through independent, auditable computatio

Topics

agent-skillsanalytics-mcpbehaviour-analysisclickstreamclickstream-analysiscustomer-journey-analyticscustomer-journey-mapdata-visualizationgraph-visualizermachine-learningpredictive-analyticspredictive-modelingproduct-analyticspythonquant-ux

retentioneering-tools

Quick Install

README Excerpt

Topics

Related Data/Analytics Servers