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    An MCP chatbot server that answers questions about a Reinforcement Learning graduate project by dynamically selecting and calling structured tool functions to retrieve precise project data, including training rounds, hyperparameters, and infrastructure details.
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    MCP server for accessing SPEAR model output from various sources (AWS, STAC API, local) and integrating with AI assistants like Claude Desktop or a SPEAR Climate Chatbot.
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    A local MCP server for analyzing CSV files from your filesystem, particularly suited for chatbot conversation logs. Allows listing, reading, filtering, merging, and statistical analysis of CSV data via natural language.
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