Adding predictive insurance agent example using claude-code-sdk-python and kumo-rfm-mcp
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Hello 👋🏻! Blaz from Kumo here :)
We've recently built an MCP server to interact with our foundation model for machine learning (KumoRFM) which allows agents to make predictions with just a few simple tool calls. We are very excited to use the MCP tools to build a new generation of predictive agents for which predictions are a core part of their workflow.
This notebook demonstrates a very simple insurance agent, which generates both a churn prediction as well as personalized recommendations for users with expiring policies and compiles emails for outreach. The solution uses our MCP along with
claude-code-sdk-python.Super happy to make any changes/improvements needed to meet the quality bar for this repository.