# Dataset Explorer (pypi · dataset-explorer-mcp)

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

- Trust score: 71/100 (medium)
- Change this week: 0
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- pypi · `dataset-explorer-mcp`: 71/100 (this document), [markdown](https://verifymcp.io/servers/khanarmaghanrasheed-18-dataset-explorer/dataset-explorer-mcp.md), [page](https://verifymcp.io/servers/khanarmaghanrasheed-18-dataset-explorer/dataset-explorer-mcp)

## Channel facts

- Registry: `pypi`
- Package: `dataset-explorer-mcp`
- Version: `0.2.2`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it.
  - 2 of 37 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 97/100
  - Source repository is publicly reachable at the declared URL.
  - Cryptographically verified build provenance (signed, bound to khanarmaghanrasheed-18/MCP-Dataset-Explorer).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 26 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 33/100
  - 0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (fair).
  - Tool/resource definitions use about 323 tokens (~29/item across 11 items; 10 tools + 1 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (80% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### How do I install the Dataset Explorer MCP server?

Dataset Explorer runs locally as a PyPI package, launched with uvx dataset-explorer-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add khanarmaghanrasheed-18-dataset-explorer -- uvx dataset-explorer-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "khanarmaghanrasheed-18-dataset-explorer": {
      "command": "uvx",
      "args": [
        "dataset-explorer-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "khanarmaghanrasheed-18-dataset-explorer": {
      "command": "uvx",
      "args": [
        "dataset-explorer-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add khanarmaghanrasheed-18-dataset-explorer -- uvx dataset-explorer-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "khanarmaghanrasheed-18-dataset-explorer": {
      "type": "local",
      "command": [
        "uvx",
        "dataset-explorer-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add khanarmaghanrasheed-18-dataset-explorer --command uvx --arg dataset-explorer-mcp
```

### Hermes

```yaml
mcp_servers:
  khanarmaghanrasheed-18-dataset-explorer:
    command: "uvx"
    args: ["dataset-explorer-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "khanarmaghanrasheed-18-dataset-explorer": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "dataset-explorer-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add khanarmaghanrasheed-18-dataset-explorer -t stdio -c uvx -a dataset-explorer-mcp
```

### Other

```json
{
  "mcpServers": {
    "khanarmaghanrasheed-18-dataset-explorer": {
      "command": "uvx",
      "args": [
        "dataset-explorer-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-01 (score 71, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-31 (score 56, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-29 (score 71, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-26 (score 56, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-25 (score 71, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-23 (score 56, −15)

- [security regression] Malware scan: pass → unverified

### 2026-10-17 (score 71, +37)

- [security improvement] Injection markers: unverified → pass
- [security improvement] Malware scan: unverified → pass
- [security] First check of Judged manipulation: pass
- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] Tool coverage: unverified → 100
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Schema quality: unverified → 0
- [functional] First check of Tool coverage: 0
- [functional] First check of Schema quality: fail
- [functional] First check of Schema quality: fair
- [functional] First check of Tool coverage: 80
- [functional] First check of Destructive annotations: pass
- [functional] First check of Schema quality: pass

### 2026-10-16 (score 34, −15)

- [security regression] Malware scan: pass → unverified

## MCP tools (10)

### `get_dataset_overview` (~35 tokens)

Returns dataset features, missing-value counts, categorical columns, numerical columns, and data types.

Input parameters:

- `path` (string, required)

### `dataset_shape` (~26 tokens)

Returns the number of rows and columns in a dataset.

Input parameters:

- `path` (string, required)

### `dataset_statistical_summary` (~27 tokens)

Returns the mean and median of every numerical feature.

Input parameters:

- `path` (string, required)

### `inspect_Column` (~35 tokens)

Gives a detailed summary of a specific column/feature.

Input parameters:

- `col_name` (string, required)
- `path` (string, required)

### `analyze_target` (~32 tokens)

Gives a detailed summary of the target column.

Input parameters:

- `path` (string, required)
- `target_name` (string, required)

### `duplicate_finder` (~23 tokens)

Reports duplicate rows in the dataset.

Input parameters:

- `path` (string, required)

### `analyze_missing_values` (~25 tokens)

Reports columns with missing values in the dataset.

Input parameters:

- `path` (string, required)

### `find_correlations` (~35 tokens)

Finds strongly correlated numerical feature pairs above a specified absolute threshold.

Input parameters:

- `path` (string, required)
- `threshold` (number)

### `detect_outliers` (~24 tokens)

Detects Outliers in the dataset.

Input parameters:

- `path` (string, required)

### `screen_target_relationships` (~55 tokens)

Screens numerical-numerical relationships with Pearson correlation and numerical-categorical relationships with correlation ratio eta squared. Screens categorical-categorical relationships with Cramer's V.

Input parameters:

- `path` (string, required)
- `target` (string, required)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/khanarmaghanrasheed-18-dataset-explorer/dataset-explorer-mcp#diagnostics

## Score history

- 2026-11-05: 71
- 2026-11-04: 71
- 2026-11-03: 71
- 2026-11-02: 71
- 2026-11-01: 71
- 2026-10-31: 56
- 2026-10-30: 71
- 2026-10-29: 71
- 2026-10-28: 56
- 2026-10-27: 56
- 2026-10-26: 56
- 2026-10-25: 71
- 2026-10-24: 56
- 2026-10-23: 56
- 2026-10-22: 71
- 2026-10-21: 71
- 2026-10-20: 71
- 2026-10-19: 71
- 2026-10-18: 71
- 2026-10-17: 71
- 2026-10-16: 34
- 2026-10-15: 49
- 2026-10-14: 49
- 2026-10-13: 49
- 2026-10-12: 49

## Common questions

### What is the Dataset Explorer MCP server?

Dataset Explorer is an MCP server listed in the public MCP registry as io.github.khanarmaghanrasheed-18/dataset-explorer. Local MCP analysis for CSV, TSV, Excel, JSON and Parquet: summaries, outliers and relationships. This page covers its PyPI package (dataset-explorer-mcp).

### Is the Dataset Explorer MCP server safe to use?

Dataset Explorer scores 71 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Dataset Explorer MCP server expose?

Dataset Explorer exposes 10 tools: get_dataset_overview, dataset_shape, dataset_statistical_summary, inspect_Column, analyze_target, and 5 more. Their descriptions and schemas cost roughly 317 tokens of context every time the server is loaded.

### Is the Dataset Explorer MCP server still maintained?

Dataset Explorer is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Dataset Explorer MCP server under?

Dataset Explorer declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

### What did VerifyMCP test on the Dataset Explorer MCP server?

VerifyMCP ran 15 checks on Dataset Explorer, covering Malware scan, Known CVEs, Install scripts, Dependency health and 11 more. One item could not be completed, a gap on our side rather than a finding about Dataset Explorer: Stability. One category scores 0 for that reason, because we only credit what we can confirm. Endpoint Security and Transport & Reachability do not apply to a PyPI package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.

## Links

- PyPI project: https://pypi.org/project/dataset-explorer-mcp/
- Socket report: https://socket.dev/pypi/package/dataset-explorer-mcp
- Repository: https://github.com/khanarmaghanrasheed-18/MCP-Dataset-Explorer
- Changelog RSS feed: https://verifymcp.io/servers/khanarmaghanrasheed-18-dataset-explorer/dataset-explorer-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/khanarmaghanrasheed-18-dataset-explorer/dataset-explorer-mcp/changelog.json
- Trust report (JSON): https://verifymcp.io/servers/khanarmaghanrasheed-18-dataset-explorer/dataset-explorer-mcp.json
- HTML version of this page: https://verifymcp.io/servers/khanarmaghanrasheed-18-dataset-explorer/dataset-explorer-mcp