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retentioneering

retentioneering-tools

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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

MCP Servers910 stars136 forksPythonApache-2.0Updated today
Install in Claude Code / Claude Desktop
Method: UVX (Python) · retentioneering-tools
Claude Code CLI
claude mcp add retentioneering-tools -- uvx retentioneering-tools
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "retentioneering-tools": {
      "command": "uvx",
      "args": ["retentioneering-tools"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/retentioneering/retentioneering-tools and follow its README.
Use cases

MCP Servers overview

README preview not available. Visit the repo on GitHub for full documentation.
agent-skillsanalytics-mcpbehaviour-analysisclickstreamclickstream-analysiscustomer-journey-analyticscustomer-journey-mapdata-visualizationgraph-visualizermachine-learningpredictive-analyticspredictive-modelingproduct-analyticspythonquant-uxsegmentationuser-flowuser-trajectoriesuser-trajectories-analysisweb-analytics

What people ask about retentioneering-tools

What is retentioneering/retentioneering-tools?

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retentioneering/retentioneering-tools is mcp servers for the Claude AI ecosystem. 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 It has 910 GitHub stars and was last updated today.

How do I install retentioneering-tools?

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You can install retentioneering-tools by cloning the repository (https://github.com/retentioneering/retentioneering-tools) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is retentioneering/retentioneering-tools safe to use?

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retentioneering/retentioneering-tools has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains retentioneering/retentioneering-tools?

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retentioneering/retentioneering-tools is maintained by retentioneering. The last recorded GitHub activity is from today, with 2 open issues.

Are there alternatives to retentioneering-tools?

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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy retentioneering-tools to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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