DataClue — AI training data
Search and license real-world AI training data: egocentric video, UMI gripper demos, custom EEG.
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质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"catalog": {
"url": "https://dataclue.app/mcp"
}
}
}远程端点
https://dataclue.app/mcpstreamable-http它能做什么
工具清单
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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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.
输入模式
{
"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
}社区
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