Schema | Dataset Explorer MCP Server

Dataset Explorer MCP Server

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
get_dataset_overviewB	Returns dataset features, missing-value counts, categorical columns, numerical columns, and data types.
dataset_shapeB	Returns the number of rows and columns in a CSV dataset.
dataset_statistical_summaryA	Returns the mean and median of every numerical feature.
inspect_ColumnC	Gives a detailed summary of a specific column/feature.
analyze_targetC	Gives a detailed summary of the target column.
duplicate_finderC	Reports duplicate rows in the dataset.
analyze_missing_valuesC	Reports columns with missing values in the dataset.
find_correlationsA	Finds strongly correlated numerical feature pairs above a specified absolute threshold.
detect_outliersC	Detects Outliers in the dataset.

Interactive templates invoked by user choice

Name	Description
`explore_dataset`

Contextual data attached and managed by the client

Name	Description
`dataset_guide`

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/khanarmaghanrasheed-18/MCP-Dataset-Explorer'

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