Library / MCP Servers / retentioneering-tools
retentioneering-tools
MCP serverFREEPython 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
retentioneering/retentioneering-tools · Apache-2.0 · Python · updated today
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License · Quality · Upkeep
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What it helps you do
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
Should you use it?
License · A
Permissive license. Free for personal and business use.
Quality · A
Clear README, topics, license and an active community.
Maintenance · A
Updated in the last 30 days.
Job area: Data & analysis. Always read the project README before you install, and test on a copy of your data first.
How to start
- 1Open the project on GitHub and read the README.
- 2Run: git clone https://github.com/retentioneering/retentioneering-tools.git
- 3Add the server to Claude, Cursor or another MCP client, as the README shows.
- 4Test with a small task before real work.