DataClue — AI training data
Search and license real-world AI training data: egocentric video, UMI gripper demos, custom EEG.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"catalog": {
"url": "https://dataclue.app/mcp"
}
}
}遠端端點
https://dataclue.app/mcpstreamable-http它能做什麼
工具清單
工具（4）
🟢search_datasets(query)
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.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "What data is needed: domain, task, volume, resolution, frame rate, session length, sensors."
}
},
"required": [
"query"
],
"additionalProperties": false
}🟢get_dataset(slug)
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.
輸入結構描述
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Dataset slug, e.g. \"manufacturing-operations\", \"household-activities\", \"warehouse-logistics\"."
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢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.
輸入結構描述
{
"type": "object",
"properties": {},
"additionalProperties": false
}🔴request_quote(email, name, company, plan, datasets, ...)
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.
輸入結構描述
{
"type": "object",
"properties": {
"email": {
"type": "string",
"description": "The user's work email. DataClue replies here."
},
"name": {
"type": "string",
"description": "The user's name (required except for samples)."
},
"company": {
"type": "string",
"description": "The user's company (required except for samples)."
},
"plan": {
"type": "string",
"enum": [
"sample",
"pilot",
"volume",
"custom"
],
"description": "sample = free evaluation clips; pilot = 10-hour paid pilot; volume = quote for a number of hours; custom = data collected to order."
},
"datasets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Dataset slugs (from search_datasets). Required for pilot and volume."
},
"scenarios": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional scenario slugs."
},
"hours": {
"type": "number",
"description": "Hours needed. Required for volume."
},
"use_case": {
"type": "string",
"enum": [
"Robot policy / VLA pretraining",
"World model training",
"Perception & action recognition",
"Evaluation / benchmarking",
"Research (non-commercial)",
"Other"
],
"description": "Intended use. Required for volume."
},
"timeline": {
"type": "string",
"description": "When the data is needed."
},
"details": {
"type": "string",
"description": "Requirements in the user's words. Required for custom (what should be collected)."
}
},
"required": [
"email",
"plan"
],
"additionalProperties": false
}社群
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