Schema | MCP CSV Analysis with Gemini AI

MCP CSV Analysis with Gemini AI

Describes the environment variables required to run the server.

Name	Required	Description
`DEBUG`	No	Optional flag to enable verbose logging (e.g., 'true').
`GEMINI_API_KEY`	Yes	Your Google Gemini API key used for data analysis and reasoning.
`PLOTLY_API_KEY`	Yes	Your Plotly API key, required for generating visualizations.
`PLOTLY_USERNAME`	Yes	Your Plotly username, required for generating visualizations.

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
generate-thinkingC	Generate detailed thinking process text using Gemini's experimental thinking model
analyze-csvC	Analyze CSV file using Gemini's AI capabilities for EDA and data science insights
visualize-dataC	Generate visualizations from CSV data using Chart.js

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/falahgs/MCP-CSV-Analysis-with-Gemini-AI'

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