# Dataloupe (oci · ghcr.io/aurelio-nakamura/dataloupe:0.15.0)

Offline MCP server to explore CSV/JSON/Parquet/Excel: preview, query, diff, render interactive HTML

- Trust score: 45/100 (low)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-21

## Components

- oci · `ghcr.io/aurelio-nakamura/dataloupe:0.15.0`: 45/100 (this document), [markdown](https://verifymcp.io/servers/aurelio-nakamura-dataloupe/ghcr-io-aurelio-nakamura-dataloupe-0-15-0.md), [page](https://verifymcp.io/servers/aurelio-nakamura-dataloupe/ghcr-io-aurelio-nakamura-dataloupe-0-15-0)

## Channel facts

- Registry: `oci`
- Package: `ghcr.io/aurelio-nakamura/dataloupe:0.15.0`
- 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 2026-09-21.

- **Supply Chain Security**: 0/100
  - Malware scan not yet available for this package.
  - Known CVEs could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.
  - Install-script risk not yet assessed.
  - Dependency health could not be checked: this artifact ships no SBOM, so there is no dependency list to read. Publishing one would let us assess it.
- **Provenance & Transparency**: 35/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - License check failed: no license is declared.
  - Actively maintained (last published 19 days ago).
  - Publishes a security disclosure policy (SECURITY.md).
- **Schema Quality & AI Usability**: 65/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 877 tokens (~125/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 67/100
  - Stability observed for 20 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 92/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 77% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 7 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 Dataloupe MCP server?

Dataloupe runs locally as a container image, launched with docker run --rm -i ghcr.io/aurelio-nakamura/dataloupe:0.15.0. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add aurelio-nakamura-dataloupe -- docker run --rm -i ghcr.io/aurelio-nakamura/dataloupe:0.15.0
```

### Cursor

```json
{
  "mcpServers": {
    "aurelio-nakamura-dataloupe": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/aurelio-nakamura/dataloupe:0.15.0"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "aurelio-nakamura-dataloupe": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/aurelio-nakamura/dataloupe:0.15.0"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add aurelio-nakamura-dataloupe -- docker run --rm -i ghcr.io/aurelio-nakamura/dataloupe:0.15.0
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "aurelio-nakamura-dataloupe": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "--rm",
        "-i",
        "ghcr.io/aurelio-nakamura/dataloupe:0.15.0"
      ],
      "enabled": true
    }
  }
}
```

### Hermes

```yaml
mcp_servers:
  aurelio-nakamura-dataloupe:
    command: "docker"
    args: ["run", "--rm", "-i", "ghcr.io/aurelio-nakamura/dataloupe:0.15.0"]
```

### Netclaw

```json
{
  "McpServers": {
    "aurelio-nakamura-dataloupe": {
      "Transport": "stdio",
      "Command": "docker",
      "Arguments": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/aurelio-nakamura/dataloupe:0.15.0"
      ]
    }
  }
}
```

### Other

```json
{
  "mcpServers": {
    "aurelio-nakamura-dataloupe": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/aurelio-nakamura/dataloupe:0.15.0"
      ]
    }
  }
}
```

## 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.

### 2026-09-20 (score 45, +1)

No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-18 (score 44, +1)

No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-15 (score 43, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-13 (score 42, +1)

No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-11 (score 41, +1)

No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-10 (score 40, +4)

- [functional improvement] Stability: unverified → 0.30

### 2026-09-01 (score 36)

First indexed and scored.

## MCP tools (7)

### `list_data_files` (~60 tokens)

List local data files

List tabular data files (CSV/TSV/JSON/NDJSON/Parquet/Excel) in a local directory, with sizes.

Input parameters:

- `dir` (string, required): Directory to scan.
- `recursive` (boolean): Recurse into subdirectories.

### `describe_data` (~87 tokens)

Describe a data file

Return the schema, row/column counts, and per-column statistics (type, nulls, unique, min/max/mean/median, top values) for a local data file. Token-efficient; reads a sample for very large files.

Input parameters:

- `limit` (integer): Max rows to sample when profiling (default: all/auto).
- `path` (string, required): Path to the data file.

### `preview_data` (~56 tokens)

Preview rows

Return the first N rows of a local data file as a Markdown table.

Input parameters:

- `limit` (integer): Rows to show (default 20).
- `offset` (integer)
- `path` (string, required): Path to the data file.

### `query_data` (~156 tokens)

Query a data file

Run a read-only structured query over a local data file: filter (where), select columns, order_by, limit/offset, and group_by with aggregations (count/sum/avg/min/max). Returns a Markdown table. No SQL, no writes — the file is never modified.

Input parameters:

- `aggregate` (array): Aggregations to compute per group (with group_by).
- `group_by` (array): Group rows by these columns.
- `limit` (integer)
- `offset` (integer)
- `order_by` (object)
- `path` (string, required): Path to the data file.
- `select` (array): Columns to keep in the output.
- `where` (array): Row filters (ANDed together).

### `sql_query` (~181 tokens)

Query a data file with SQL

Run a read-only SQL SELECT over a local data file and get a Markdown table back. Supports: SELECT * | <cols> | aggregates COUNT/SUM/AVG/MIN/MAX, WHERE (=, !=, >, >=, <, <=, LIKE, IN) with AND, GROUP BY, ORDER BY [ASC|DESC], LIMIT, OFFSET. The table name in FROM is ignored (single-table). No writes, no arbitrary SQL execution — the query string is compiled to a safe read-only plan (no eval), and the file is never modified.

Input parameters:

- `path` (string, required): Path to the data file.
- `sql` (string, required): A single SELECT statement, e.g. `SELECT species, AVG(body_mass_g) AS avg_mass FROM t GROUP BY species ORDER BY avg_mass DESC LIMIT 5`. Column names must match the file's headers.

### `visualize_data` (~214 tokens)

Visualize as an offline interactive HTML explorer

Turn a local data file (optionally after a query) into ONE self-contained, fully-offline, interactive HTML explorer file on disk (sortable/filterable table + column stats + charts). Returns the path. The user can open it in any browser; data never leaves the machine and the file has zero external requests. Use this to hand the user a shareable, explorable artifact instead of a plain text table.

Input parameters:

- `aggregate` (array): Aggregations to compute per group (with group_by).
- `group_by` (array): Group rows by these columns.
- `limit` (integer)
- `offset` (integer)
- `order_by` (object)
- `out_path` (string): Where to write the .html (default: a temp file).
- `path` (string, required): Path to the data file.
- `select` (array): Columns to keep in the output.
- `title` (string): Title shown in the explorer.
- `where` (array): Row filters (ANDed together).

### `diff_data` (~123 tokens)

Diff two data files

Compare two local data files (a git-style diff for data). Reports added/removed/changed/unchanged row counts (matched by --key when given), and optionally writes a self-contained offline HTML diff report. Both files stay local.

Input parameters:

- `after` (string, required): Path to the NEW file.
- `before` (string, required): Path to the OLD file.
- `key` (array): Column(s) that uniquely identify a row (enables cell-level changes).
- `out_path` (string): If set, write an offline HTML diff report here and return its path.

## Diagnostics

Captured diagnostic sections: Provenance. The full working is on the page: https://verifymcp.io/servers/aurelio-nakamura-dataloupe/ghcr-io-aurelio-nakamura-dataloupe-0-15-0#diagnostics

## Score history

- 2026-09-21: 45
- 2026-09-20: 45
- 2026-09-19: 44
- 2026-09-18: 44
- 2026-09-17: 43
- 2026-09-16: 43
- 2026-09-15: 43
- 2026-09-14: 42
- 2026-09-13: 42
- 2026-09-12: 41
- 2026-09-11: 41
- 2026-09-10: 40
- 2026-09-09: 36
- 2026-09-08: 36
- 2026-09-07: 36
- 2026-09-06: 36
- 2026-09-05: 36
- 2026-09-04: 36
- 2026-09-03: 36
- 2026-09-02: 36
- 2026-09-01: 36

## Common questions

### What is the Dataloupe MCP server?

Dataloupe is an MCP server listed in the public MCP registry as io.github.aurelio-nakamura/dataloupe. Offline MCP server to explore CSV/JSON/Parquet/Excel: preview, query, diff, render interactive HTML. This page covers its container image (ghcr.io/aurelio-nakamura/dataloupe:0.15.0).

### Is the Dataloupe MCP server safe to use?

Dataloupe scores 45 out of 100 on VerifyMCP. 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 Dataloupe MCP server expose?

Dataloupe exposes 7 tools: list_data_files, describe_data, preview_data, query_data, sql_query, and 2 more. Their descriptions and schemas cost roughly 877 tokens of context every time the server is loaded.

### Is the Dataloupe MCP server still maintained?

Dataloupe is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Repository: https://github.com/aurelio-nakamura/dataloupe
- Website: https://aurelio-nakamura.github.io/dataloupe/
- Changelog RSS feed: https://verifymcp.io/servers/aurelio-nakamura-dataloupe/ghcr-io-aurelio-nakamura-dataloupe-0-15-0.xml
- Changelog JSON feed: https://verifymcp.io/servers/aurelio-nakamura-dataloupe/ghcr-io-aurelio-nakamura-dataloupe-0-15-0.json
- HTML version of this page: https://verifymcp.io/servers/aurelio-nakamura-dataloupe/ghcr-io-aurelio-nakamura-dataloupe-0-15-0