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Predict California housing prices with batch scoring and chat-based model analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "California Housing MCP Agent" yet — see the docs or source repo.
Use the California Housing MCP Agent to predict the housing price from these features and explain the key drivers: median_income=8.3, housing_median_age=21, total_rooms=6200, total_bedrooms=980, population=2400, households=910, latitude=34.19, longitude=-118.45.
A predicted housing price with a brief explanation of the main influencing factors.
Use the California Housing MCP Agent to batch score the following 10 housing samples, return the predicted price for each record, and sort them from highest to lowest: [...]
A list or table of predicted prices for each sample, sorted by value.
Using the California Housing MCP Agent, chat with me about which location and income features most strongly raise California housing prices, and provide actionable conclusions based on the model.
Business-friendly analysis summarizing key variables and their impact directions.
Aggregate real estate data for market insights, valuation, and investment analysis.
Chat with an AI agent, get weather data, and monitor agent status via MCP.
Query current and historical AI model API prices with cited sources.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Perform accurate arithmetic, trigonometric, logarithmic, and other math calculations.
Route AI responses by confidence and delegate generation to local models.