INDIVIDUAL MCP TOOL

search_deals

Licences of data to AI companies disclosed since July 2023: licensor, licensee, content, use (training or display), term, value where disclosed, with a verbatim quote and the source.

aidata.brokernone authenticationAvailability not checked

LIVE ENDPOINT

https://aidata.broker/mcp

No auth detected

Connect to this endpoint to inspect the live schema for search_deals and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

aidata.broker

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.aidata-broker]
url = "https://aidata.broker/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "aidata-broker": {
      "type": "http",
      "url": "https://aidata.broker/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: aidata-broker
Remote MCP URL: https://aidata.broker/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "aidata-broker": {
      "url": "https://aidata.broker/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "aidata-broker": {
      "type": "http",
      "url": "https://aidata.broker/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "aidata-broker",
  "transport": "streamable-http",
  "url": "https://aidata.broker/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

get_market_rates — Median, middle half and range per comparable unit (per hour of video or audio, per image, per task, per company, per title, and more) for each kind of AI training data and each side of the market, computed from published prices.
search_prices — The individual price observations behind the market rates: what a lab, vendor, marketplace or court said data was paid, offered, listed or sold for, with the figure as published, the figure per unit, the date, the source's own words and a link.
value_data — What published prices imply for a holding of data: a low-to-high range in US dollars with the arithmetic behind it.
find_buyers — Organisations with a public way to sell them data, with their own published terms: what they want, what they pay, when they pay, who removes personal data, eligibility, and what they pay an introducer.
search_cases — Lawsuits, rulings, settlements and regulatory actions over data used to train AI, with parties, claim, amounts, outcome, status and the source.
check_software_terms — For a business system (Slack, Microsoft 365, Google Workspace, Salesforce, HubSpot, Zendesk, Zoom, GitHub, Notion and more): whether the owner can export its data, what the vendor's API terms say about training AI on data pulled through them, the content's rights risk, and the clauses word for word.
list_datasets — Every table behind these tools as a CSV and JSON download under CC BY 4.