Churn Predictor Ai MCP Server by MEOK AI Labs
74/100 B · ranked #299 of 339 MEOK MCPs · v1.0.6 · 13 tools
churn-predictor-ai-mcp scores 74/100 on the proofof.ai 100-point rubric — solid, with clear next steps.
That is around the fleet average of 85. Install: pip install churn-predictor-ai-mcp.
| Category | Score | |
|---|---|---|
| README | 8/10 | |
| Tool design | 10/10 | |
| Examples | 0/10 | |
| Tests + CI | 10/10 | |
| Transports | 5/10 | |
| Metadata | 10/10 | |
| Reliability | 8/10 | |
| Security | 10/10 | |
| Docs surface | 7/10 | |
| Provenance/Revenue | 6/10 |
Framework: fastmcp · transport: stdio. Tools: predict_churn, batch_predict_churn, get_customer_risk, track_customer, update_customer_signals, get_at_risk_customers, create_retention_action, get_retention_actions, update_retention_action, get_churn_analytics, get_cohort_retention, simulate_intervention.
pip install churn-predictor-ai-mcpMCP client config: add {"command":"uvx","args":["churn-predictor-ai-mcp"]} under mcpServers.