# DataRaum (pypi · dataraum)

Pre-computed metadata context engine for AI-driven data analytics

- Trust score: 0/100 (low)
- Change this week: −24
- Registry status: active
- Liveness: dead
- Owner verified: no
- Last scored: 2026-08-05

> **Dead**: every channel of this server has been unreachable for long enough to be marked dead. Its trust score is pinned to 0 and does not recover automatically.

## Components

- pypi · `dataraum`: 0/100 (this document), [markdown](https://verifymcp.io/servers/dataraum-dataraum/dataraum.md), [page](https://verifymcp.io/servers/dataraum-dataraum/dataraum)

## Channel facts

- Registry: `pypi`
- Package: `dataraum`
- Version: `0.2.1`
- 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 2026-08-05.

- **Supply Chain Security**: 50/100
  - No malware found by supply-chain analysis.
  - Known CVEs could not be checked: we could not find this package in its registry.
  - Install-script risk not yet assessed.
  - Dependency health could not be checked: we could not find this package in its registry.
- **Provenance & Transparency**: 26/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: the registry has no such package, so there's no artefact to verify.
  - License check failed: the registry has no such package, so no license can be read.
  - Maintenance check failed: the registry has no such package, so there's no release history to read.
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 0/100
  - Schema quality not yet verified: our sandbox could not run this package, so we have no schema to assess.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: our sandbox could not run this package, so we have no schema to compare.
- **Tool Coverage**: 0/100
  - Tool coverage not yet verified: our sandbox could not run this package, so we have no tool definitions to assess.
- **Tool Safety**: not scored yet
  - Not scored yet: our latest scan of this package recorded no findings here. That is usually because the category is newer than the scan, or because we have not captured the MCP schema this package serves yet. It fills in the next time we score it.
- **Capabilities**: 0/100
  - Protocol version not yet verified: our sandbox could not run this package, so we never saw its MCP handshake.

**Unverified: 4 categories.** Categories scored 0 because our sandbox could not run this package, so we have no schema for these checks to read. That is a gap on our side rather than a finding about the package, and we only credit what we can confirm, so the score stands at 0 until we can run it.

## Install

### How do I install the DataRaum MCP server?

DataRaum runs locally as a PyPI package, launched with uvx dataraum. 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 dataraum-dataraum -- uvx dataraum
```

### Cursor

```json
{
  "mcpServers": {
    "dataraum-dataraum": {
      "command": "uvx",
      "args": [
        "dataraum"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "dataraum-dataraum": {
      "command": "uvx",
      "args": [
        "dataraum"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add dataraum-dataraum -- uvx dataraum
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add dataraum-dataraum --command uvx --arg dataraum
```

### Hermes

```yaml
mcp_servers:
  dataraum-dataraum:
    command: "uvx"
    args: ["dataraum"]
```

### Netclaw

```json
{
  "McpServers": {
    "dataraum-dataraum": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "dataraum"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add dataraum-dataraum -t stdio -c uvx -a dataraum
```

### Other

```json
{
  "mcpServers": {
    "dataraum-dataraum": {
      "command": "uvx",
      "args": [
        "dataraum"
      ]
    }
  }
}
```

## 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.

### 2026-08-05 (score 0, −20)

The score moved with no change recorded against any check. We would rather say so than guess.

### 2026-08-04 (score 20, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-08-03 (score 5, −15)

- [security regression] Malware scan: pass → unverified

### 2026-08-02 (score 20, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-08-01 (score 5, −1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-31 (score 6, −18)

- [security regression] Malware scan: pass → unverified

### 2026-07-28 (score 24, 0)

- [functional] Schema quality: Schema quality not yet verified: our sandbox run of this package did not complete, so we have no schema to assess.
- [functional] Tool coverage: Tool coverage not yet verified: our sandbox run of this package did not complete, so we have no tool definitions to assess.

### 2026-07-26 (score 24)

First indexed and scored.

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

## MCP tools (0)

Tools for package channels are captured by running the package in an isolated sandbox. Our sandbox could not run this package, so no tool list has been captured. That is a gap on our side, not a finding about the package.

## Diagnostics

Captured diagnostic sections: Provenance. The full working is on the page: https://verifymcp.io/servers/dataraum-dataraum/dataraum#diagnostics

## Score history

- 2026-08-05: 0
- 2026-08-04: 20
- 2026-08-03: 5
- 2026-08-02: 20
- 2026-08-01: 5
- 2026-07-31: 6
- 2026-07-29: 24
- 2026-07-28: 24
- 2026-07-27: 24
- 2026-07-26: 24

## Common questions

### What is the DataRaum MCP server?

DataRaum is an MCP server listed in the public MCP registry as io.github.dataraum/dataraum. Pre-computed metadata context engine for AI-driven data analytics. This page covers its PyPI package (dataraum).

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

DataRaum scores 0 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.

### Is the DataRaum MCP server still maintained?

DataRaum has been unreachable for long enough that we treat it as dead, and its score is pinned to zero. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- PyPI project: https://pypi.org/project/dataraum/
- Socket report: https://socket.dev/pypi/package/dataraum
- Repository: https://github.com/dataraum/dataraum
- Changelog RSS feed: https://verifymcp.io/servers/dataraum-dataraum/dataraum.xml
- Changelog JSON feed: https://verifymcp.io/servers/dataraum-dataraum/dataraum.json
- HTML version of this page: https://verifymcp.io/servers/dataraum-dataraum/dataraum