# DataClue — AI training data (remote · dataclue.app)

Search and license real-world AI training data: egocentric video, UMI gripper demos, custom EEG.

- Trust score: 69/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `dataclue.app`: 69/100 (this document), [markdown](https://verifymcp.io/servers/app-dataclue-catalog/dataclue.md), [page](https://verifymcp.io/servers/app-dataclue-catalog/dataclue)

## Channel facts

- Endpoint: `https://dataclue.app/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, 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.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation check failed: no authorisation is required to call this server, and it exposes a tool marked destructive (request_quote).
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 68/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 695 tokens (~173/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 40/100
  - Stability observed for 12 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% 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.
  - All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.
  - An AI judge read all 5 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.

## Install

### How do I install the DataClue — AI training data MCP server?

DataClue — AI training data is a hosted endpoint at https://dataclue.app/mcp, so there is nothing to install locally. 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 --transport http app-dataclue-catalog 'https://dataclue.app/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "app-dataclue-catalog": {
      "url": "https://dataclue.app/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "app-dataclue-catalog": {
      "type": "http",
      "url": "https://dataclue.app/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.app-dataclue-catalog]
url = "https://dataclue.app/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "app-dataclue-catalog": {
      "type": "remote",
      "url": "https://dataclue.app/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add app-dataclue-catalog --url 'https://dataclue.app/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  app-dataclue-catalog:
    url: "https://dataclue.app/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "app-dataclue-catalog": {
      "Transport": "http",
      "Url": "https://dataclue.app/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add app-dataclue-catalog -t streamable-http -u 'https://dataclue.app/mcp'
```

### Other

```json
{
  "mcpServers": {
    "app-dataclue-catalog": {
      "type": "http",
      "url": "https://dataclue.app/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## 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.

### 2026-11-05 (score 69, +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.

### 2026-11-03 (score 68, +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.

### 2026-11-01 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 66, +1)

- [security] The server rewrote its instructions, which are the text every model session reads

### 2026-10-28 (score 65, +1)

No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-26 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-25 (score 63, +4)

- [security improvement] HTTPS: unverified → pass
- [security] The server rewrote its instructions, which are the text every model session reads
- [functional improvement] Stability: unverified → 0.03

### 2026-10-24 (score 59)

First indexed and scored.

## MCP tools (4)

### `search_datasets` (~121 tokens)

Search datasets

Search DataClue's catalog of licensable AI training data (egocentric video of real work, UMI gripper demonstrations) with a plain-English need, e.g. "50,000 hours of household manipulation video, 1080p, long sessions". Returns matching datasets with hours in stock, price per hour, scenarios and which requirements they meet, plus custom-collection options when nothing in stock fits.

Input parameters:

- `query` (string, required): What data is needed: domain, task, volume, resolution, frame rate, session length, sensors.

### `get_dataset` (~74 tokens)

Get dataset details

Full details for one DataClue dataset: overview, scenarios with measured sample specs, delivered resolution, sensors, annotation, delivery format, licensing, FAQs, sample clip URLs and price.

Input parameters:

- `slug` (string, required): Dataset slug, e.g. "manufacturing-operations", "household-activities", "warehouse-logistics".

### `get_pricing_and_terms` (~44 tokens)

Get pricing and terms

DataClue's list prices, what is included, quote paths (free samples, paid pilot, volume quote, custom collection), licensing, payment and consent terms.

### `request_quote` (~289 tokens)

Request samples or a quote

Send a request to DataClue's sales team on the user's behalf: free evaluation samples, a paid pilot, a volume quote, or a custom collection. Side effect: emails the request (including the user's name, work email and company) to DataClue, who reply to that email. Only call this when the user has asked to contact DataClue and has provided their own work email, and show them the details to confirm before sending. Each call sends a new request, so do not retry a successful call.

Input parameters:

- `company` (string): The user's company (required except for samples).
- `datasets` (array): Dataset slugs (from search_datasets). Required for pilot and volume.
- `details` (string): Requirements in the user's words. Required for custom (what should be collected).
- `email` (string, required): The user's work email. DataClue replies here.
- `hours` (number): Hours needed. Required for volume.
- `name` (string): The user's name (required except for samples).
- `plan` (string, required): sample = free evaluation clips; pilot = 10-hour paid pilot; volume = quote for a number of hours; custom = data collected to order.
- `scenarios` (array): Optional scenario slugs.
- `timeline` (string): When the data is needed.
- `use_case` (string): Intended use. Required for volume.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/app-dataclue-catalog/dataclue#diagnostics

## Score history

- 2026-11-05: 69
- 2026-11-04: 68
- 2026-11-03: 68
- 2026-11-02: 67
- 2026-11-01: 67
- 2026-10-31: 66
- 2026-10-30: 66
- 2026-10-29: 65
- 2026-10-28: 65
- 2026-10-27: 64
- 2026-10-26: 64
- 2026-10-25: 63
- 2026-10-24: 59

## Common questions

### What is the DataClue — AI training data MCP server?

DataClue — AI training data is an MCP server listed in the public MCP registry as app.dataclue/catalog. Search and license real-world AI training data: egocentric video, UMI gripper demos, custom EEG. This page covers its hosted endpoint (https://dataclue.app/mcp).

### Is the DataClue — AI training data MCP server safe to use?

DataClue — AI training data scores 69 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 DataClue — AI training data MCP server expose?

DataClue — AI training data exposes 4 tools: search_datasets, get_dataset, get_pricing_and_terms, request_quote. Their descriptions and schemas cost roughly 528 tokens of context every time the server is loaded.

### Does the DataClue — AI training data MCP server require authentication?

No. We connected to DataClue — AI training data without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the DataClue — AI training data MCP server still maintained?

DataClue — AI training data 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.

## Links

- Remote endpoint: https://dataclue.app/mcp
- Website: https://dataclue.app/ai-agents
- Changelog RSS feed: https://verifymcp.io/servers/app-dataclue-catalog/dataclue.xml
- Changelog JSON feed: https://verifymcp.io/servers/app-dataclue-catalog/dataclue.json
- HTML version of this page: https://verifymcp.io/servers/app-dataclue-catalog/dataclue