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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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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 and install config. Checked Oct 25, 2026.

Tools
8 read · 0 write · 0 delete · 2 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
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

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
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Forks
0
Open issues
0
Weekly downloads
55
Last commit
Oct 21, 2026 (9 days ago)
Last release
Oct 9, 2026 (20 days ago)
Last package publish
Oct 9, 2026 (20 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 Registrygithub-graphql
Cite this page

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