Koskamo

DataClue MCP

An official MCP server operated by DataClue that allows AI agents to search their catalog of licensable AI training data, retrieve detailed dataset specifications and pricing, and request quotes or samples from their sales team.

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Endpoint and access

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DataClue MCP logo, by DataClueVendor evidenceStreamable HTTPNo sign-inEndpoint checked 2026-11-01Operated by DataClue
MCP endpoint (Streamable HTTP)
https://dataclue.app/mcp
Vendor documentation

What you can do with it

  • Search for specific AI training datasets like egocentric video or UMI gripper demos
  • Retrieve detailed specifications, pricing, and licensing terms for a dataset
  • Request free evaluation samples or paid pilots for robotics training data

Source and maintenance

Vendor evidenceRegistry 1.0.0
mcp-registry: app.dataclue/catalog@1.0.0Project website

Protocol and capabilities

Server
dataclue 1.0.0
MCP protocol
2025-06-18
Tools
4 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

DataClue licenses real-world AI training data, 1,500,000+ hours in all: egocentric (first-person) video of people doing real work (800,000+ hours fully annotated at list price), stereo and multi-camera capture, tactile glove data, robot teleoperation, UMI handheld-gripper demonstrations, and custom collection (new scenarios, robot teleoperation, non-invasive EEG / brain-computer interface data). Use search_datasets to find data for a need, get_dataset for specs, scenarios and samples, and get_pricing_and_terms for prices and licensing. Use request_quote only when the user asks to contact DataClue (for samples, a pilot, a quote or a custom collection) and has given their own work email; confirm the details with the user before calling it.

Tools

4 advertised

search_datasets — Search datasets
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

search_datasets input schema
{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "What data is needed: domain, task, volume, resolution, frame rate, session length, sensors."
    }
  },
  "additionalProperties": false
}
search_datasets annotations
{
  "title": "Search datasets",
  "readOnlyHint": true,
  "openWorldHint": false,
  "destructiveHint": false
}
get_dataset — Get dataset details
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

get_dataset input schema
{
  "type": "object",
  "required": [
    "slug"
  ],
  "properties": {
    "slug": {
      "type": "string",
      "description": "Dataset slug, e.g. \"manufacturing-operations\", \"household-activities\", \"warehouse-logistics\"."
    }
  },
  "additionalProperties": false
}
get_dataset annotations
{
  "title": "Get dataset details",
  "readOnlyHint": true,
  "openWorldHint": false,
  "destructiveHint": false
}
get_pricing_and_terms — Get pricing and terms
Advertised by the server during the last successful anonymous check.
Advertised read-only

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

get_pricing_and_terms input schema
{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
get_pricing_and_terms annotations
{
  "title": "Get pricing and terms",
  "readOnlyHint": true,
  "openWorldHint": false,
  "destructiveHint": false
}
request_quote — Request samples or a quote
Advertised by the server during the last successful anonymous check.
Advertised destructiveOpen-world

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.

request_quote input schema
{
  "type": "object",
  "required": [
    "email",
    "plan"
  ],
  "properties": {
    "name": {
      "type": "string",
      "description": "The user's name (required except for samples)."
    },
    "plan": {
      "enum": [
        "sample",
        "pilot",
        "volume",
        "custom"
      ],
      "type": "string",
      "description": "sample = free evaluation clips; pilot = 10-hour paid pilot; volume = quote for a number of hours; custom = data collected to order."
    },
    "email": {
      "type": "string",
      "description": "The user's work email. DataClue replies here."
    },
    "hours": {
      "type": "number",
      "description": "Hours needed. Required for volume."
    },
    "company": {
      "type": "string",
      "description": "The user's company (required except for samples)."
    },
    "details": {
      "type": "string",
      "description": "Requirements in the user's words. Required for custom (what should be collected)."
    },
    "datasets": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Dataset slugs (from search_datasets). Required for pilot and volume."
    },
    "timeline": {
      "type": "string",
      "description": "When the data is needed."
    },
    "use_case": {
      "enum": [
        "Robot policy / VLA pretraining",
        "World model training",
        "Perception & action recognition",
        "Evaluation / benchmarking",
        "Research (non-commercial)",
        "Other"
      ],
      "type": "string",
      "description": "Intended use. Required for volume."
    },
    "scenarios": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional scenario slugs."
    }
  },
  "additionalProperties": false
}
request_quote annotations
{
  "title": "Request samples or a quote",
  "readOnlyHint": false,
  "openWorldHint": true,
  "idempotentHint": false,
  "destructiveHint": true
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
445 ms
95th percentile latency
445 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 445 ms · metadata changed · 4 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http dataclue-mcp https://dataclue.app/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add dataclue-mcp --url https://dataclue.app/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable dataclue-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "dataclue-mcp": {
      "url": "https://dataclue.app/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "dataclue-mcp": {
      "type": "streamableHttp",
      "url": "https://dataclue.app/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start dataclue-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "dataclue-mcp": {
      "type": "http",
      "url": "https://dataclue.app/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http dataclue-mcp https://dataclue.app/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "dataclue-mcp": {
      "url": "https://dataclue.app/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "dataclue-mcp": {
      "serverUrl": "https://dataclue.app/mcp"
    }
  }
}

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