DataClue — AI training data
REMOTE · DATACLUE.APP
Search and license real-world AI training data: egocentric video, UMI gripper demos, custom EEG.
Available components
Last scanned (2 hours ago)
Scores higher than 54% of remote servers
Reachable. Last reached 5 Nov 2026.
Category AI and Machine Learning
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. How we score → Why this is hard to score →
Endpoint Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation check failed: no authorisation is required to call this server, and it exposes a tool marked destructive (request_quote). See how to fix → View diagnostics → Fail
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- 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. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management40
- Stability observed for 12 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +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.
- 3 Nov 26 +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.
- 1 Nov 26 +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.
- 30 Oct 26 +1
- The server rewrote its instructions, which are the text every model session reads security
- 28 Oct 26 +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.
- 26 Oct 26 +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.
- 25 Oct 26 +4
- HTTPS: unverified → pass ▲ security
- The server rewrote its instructions, which are the text every model session reads security
- Stability: unverified → 0.03 ▲ functional
- 24 Oct 26 59
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://dataclue.app/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=dataclue.app | CN=WE1,O=Google Trust Services,C=US | 14 Oct 2026 | 12 Jan 2027 | ECDSA 256 | ECDSA-SHA256 | 169d05959e0993d20effa79bb3f8a429 |
| SANs: dataclue.app, *.dataclue.app | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of dataclue.app. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| app. | present | 23684 | 8 | Verified |
| dataclue.app. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://dataclue.app/mcp | Verified | 200 | |
| http (plaintext) | http://dataclue.app/mcp | HTTPS enforced | 301 | https://dataclue.app/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_dataset Get dataset details ~74
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.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | Dataset slug, e.g. "manufacturing-operations", "household-activities", "warehouse-logistics". |
No output schema declared.
No examples provided.
get_pricing_and_terms Get pricing and terms ~44
DataClue's list prices, what is included, quote paths (free samples, paid pilot, volume quote, custom collection), licensing, payment and consent terms.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
request_quote Request samples or a quote ~289
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.
| Name | Type | Req | Description |
|---|---|---|---|
| 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). |
| string | yes | 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 | yes | 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. |
No output schema declared.
No examples provided.
search_datasets Search datasets ~121
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.
| Name | Type | Req | Description |
|---|---|---|---|
| query | string | yes | What data is needed: domain, task, volume, resolution, frame rate, session length, sensors. |
No output schema declared.
No examples provided.
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.
remote · dataclue.app
claude mcp add --transport http app-dataclue-catalog 'https://dataclue.app/mcp'
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.