Dataset Explorer

Local MCP analysis for CSV, TSV, Excel, JSON and Parquet: summaries, outliers and relationships.

Connector by khanarmaghanrasheed-18 · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)

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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/khanarmaghanrasheed-18-dataset-explorer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Local MCP analysis for CSV, TSV, Excel, JSON and Parquet: summaries, outliers and relationships.

Reviews

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Nov 1, 2026.

Tools: 8 read · 0 write · 0 delete · 2 not yet classified
Secrets: None asked for
Install scripts: None found
Runs as: Python package

Tools by what they do 10

Read from the source code; the running server may list different tools.

Read 8 · Look things up without changing anything.

analyze_missing_values
analyze_target
dataset_shape
dataset_statistical_summary
detect_outliers
find_correlations
get_dataset_overview
inspect_Column

Not yet classified 2 · We could not tell from the name and description.

duplicate_finder
screen_target_relationships

Network hosts it talks to 1

github.com · found in code

Files it touches

Any path the agent passes to its tools

Tools (10)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

analyze_missing_values
Reports columns with missing values in the dataset.
analyze_target
Gives a detailed summary of the target column.
dataset_shape
Returns the number of rows and columns in a dataset.
dataset_statistical_summary
Returns the mean and median of every numerical feature.
detect_outliers
Detects Outliers in the dataset.
duplicate_finder
Reports duplicate rows in the dataset.
find_correlations
Finds strongly correlated numerical feature pairs above a specified absolute threshold.
get_dataset_overview
Returns dataset features, missing-value counts, categorical columns, numerical columns, and data types.
inspect_Column
Gives a detailed summary of a specific column/feature.
screen_target_relationships
Screens numerical-numerical relationships with Pearson correlation and numerical-categorical relationships with correlation ratio eta squared. Screens categorical-categorical relationships with Cramer's V.

Signals

Stars: 0
Forks: 0
Open issues: 0
Weekly downloads: 55
Last commit: Oct 21, 2026 (11 days ago)
Last release: Oct 9, 2026 (23 days ago)
Last package publish: Oct 9, 2026 (23 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name: io.github.khanarmaghanrasheed-18/dataset-explorer
Version: 0.2.2
Auth: No auth
Packages: pypi dataset-explorer-mcp
License: MIT
Repository: github.com/khanarmaghanrasheed-18/MCP-Dataset-Explorer
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

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Cite this page

Dataset Explorer MCP server. Agent Mart. https://agentmart.dev/connectors/khanarmaghanrasheed-18-dataset-explorer (last updated 2026-10-24)