Schema | data-explore

data-explore

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
analyze_datasetB	Analyze dataset and return actual results. Args: dataset_path: Path to the dataset file (CSV format) analysis_type: Type of analysis - "summary", "correlation", "distribution", "missing_values" columns: Specific columns to analyze (if None, analyzes all columns)
clean_dataA	Perform data cleaning operations and return results. Args: dataset_path: Path to the dataset file (CSV format) operations: List of cleaning operations - "remove_nulls", "fill_nulls", "remove_duplicates", "standardize_columns", "convert_types" output_path: Path to save cleaned dataset (optional)
statistical_summaryA	Perform statistical analysis and return results. Args: dataset_path: Path to the dataset file (CSV format) columns: Specific columns to analyze (if None, analyzes all numeric columns) tests: Statistical tests to perform - "normality", "correlation_test", "ttest"

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/Mingwei2/mcp-data-explore'

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