← datajockey.us

INDIVIDUAL MCP TOOL

list_research_library

Nine sourced operator, investor and research references on AI restructuring, each with a link and the reason Data Jockey reads it.

datajockey.usnone authenticationAvailability not checked

LIVE ENDPOINT

https://datajockey.us/mcp

No auth detected

Connect to this endpoint to inspect the live schema for list_research_library 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

datajockey.us

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.datajockey]
url = "https://datajockey.us/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "datajockey": {
      "type": "http",
      "url": "https://datajockey.us/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: datajockey
Remote MCP URL: https://datajockey.us/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": {
    "datajockey": {
      "url": "https://datajockey.us/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "datajockey": {
      "type": "http",
      "url": "https://datajockey.us/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "datajockey",
  "transport": "streamable-http",
  "url": "https://datajockey.us/mcp"
}
MCP Inspector

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

Related tools

  • search_site — Full-text search across every page, FAQ, product, service and research entry on datajockey.us.
  • get_page — Return the full markdown of one page of datajockey.us.
  • list_faqs — The eight questions Data Jockey answers on its homepage, with the published answers.
  • list_products — Cold Play and DJ Studio in full: what each one is, its stages, who it fits, who it does not fit yet, the numbers it runs at, and the third-party cost of the thing it replaces.
  • get_company_facts — Legal name, founding, location, principals, contact, how Data Jockey compares to consultancies and platforms, the twelve week education model, and the systems it integrates with.
  • check_fit — Match a company against the fit criteria Data Jockey publishes on its product pages.
  • get_booking_link — A Cal.com link for a thirty minute discovery call, optionally prefilled with a name and email.
  • submit_inquiry — Send a discovery enquiry that reaches a real inbox a person reads.