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Horse Truth Machine Intelligence

Australian thoroughbred racing intelligence for AI agents and developers. Provides horse profiles, race rankings and race-day analysis through MCP, with free discovery tools and paid machine-readable data.

build.protocol_tooling.mcp

Install Horse Truth Machine Intelligence in your MCP client

Horse Truth Machine Intelligence is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

  1. Locate your client's MCP config file.
    • Cursor: ~/.cursor/mcp.json
    • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
    • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
    • VS Code: Settings → Extensions → MCP
    • Windsurf: Settings → MCP Servers
  2. Add Horse Truth Machine Intelligence to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
  3. Restart your client so it picks up the new server.
  4. Verify — ask the assistant to list available tools; Horse Truth Machine Intelligence's tools should appear.
{
  "mcpServers": {
    "horse-truth-machine-intelligence": {
      "command": "npx",
      "args": [
        "-y",
        "@horse-truth-machine-intelligence/mcp-server"
      ],
      "note": "Replace with the actual package name from the server's documentation."
    }
  }
}

Install Horse Truth Machine Intelligence in Cursor

Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. Horse Truth Machine Intelligence will show up in the assistant's tool list on next launch.

Install Horse Truth Machine Intelligence in Claude Desktop (macOS)

Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). Horse Truth Machine Intelligence will show up in the assistant's tool list on next launch.

Install Horse Truth Machine Intelligence in Claude Desktop (Windows)

Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). Horse Truth Machine Intelligence will show up in the assistant's tool list on next launch.

Install Horse Truth Machine Intelligence in VS Code

Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. Horse Truth Machine Intelligence will show up in the assistant's tool list on next launch.

Tools exposed by Horse Truth Machine Intelligence

Once installed, Horse Truth Machine Intelligence exposes the following MCP tools to your AI assistant. Each tool can be called directly by the assistant whenever its capability is relevant to your prompt.

  • discover_purchase_options

    FREE: Return the self-service purchase, products, sandbox and checkout navigation needed for an autonomous client to buy Horse Truth machine access. Use this tool when you need to know how to pay: x402 per call, a direct credit pack, or the Apify marketplace. Use sandbox_preview instead to see what a result looks like.

  • horse_changes

    PAID: US$0.02 per successful autonomous x402 call, or 1 Horse Truth direct credit. Return material Horse Truth change events for one horse. Use this tool when you want the history of material changes for one horse, newest first, each with the fields that changed and when. Use horse_snapshot instead for the current state, and horse_explanation for the reasons behind it.

  • horse_compare

    PAID: US$0.02 per successful autonomous x402 call, or 1 Horse Truth direct credit. Compare compact derived snapshots for two to five horses. Use this tool when you want two to five horses side by side on the same derived measures. Use horse_snapshot instead for a single horse.

  • horse_explanation

    PAID: US$0.02 per successful autonomous x402 call, or 1 Horse Truth direct credit. Return a structured explanation of the current derived Horse Truth read without exposing raw provider records. Use this tool when you want the reasons behind the current read, as a list of factors each with its derived value. Use horse_snapshot instead for the summary values themselves, and horse_changes for what changed over time.

  • horse_intelligence

    PAID: US$0.02 per successful autonomous x402 call, or 1 Horse Truth direct credit. Return derived intelligence for one horse. Raw provider records are not exposed. Use this tool when you need the full derived state of one horse, including race history and every read. Use horse_snapshot instead for a short summary, horse_explanation for the reasons only, and horse_changes for what changed.

  • horse_provenance

    PAID: US$0.02 per successful autonomous x402 call, or 1 Horse Truth direct credit. Return a cryptographic receipt for the current derived horse-intelligence payload. Use this tool when you need a cryptographic receipt for the current read, so you can later prove what was returned. Use horse_intelligence instead for the read itself.

  • horse_rankings

    PAID: US$0.02 per successful autonomous x402 call, or 1 Horse Truth direct credit. Return current derived Horse Truth rankings from the already-warmed canonical model cache. Use this tool when you want the current ranked list of horses in the Horse Truth model. Use horse_snapshot or horse_compare instead for named horses.

  • horse_signal

    PAID: US$0.02 per successful autonomous x402 call, or 1 Horse Truth direct credit. Return one named derived Horse Truth signal for a horse, such as readiness, biomechanics, progression, trouble watch, class, reliability, alerts or winning conditions. Use this tool when you need one named signal only (for example readiness or class_rating). Use horse_snapshot instead for several signals at once, and horse_intelligence for everything.

  • horse_snapshot

    PAID: US$0.02 per successful autonomous x402 call, or 1 Horse Truth direct credit. Return a compact derived operating snapshot for one horse. Use this tool when you want a short current summary of one horse: readiness, progression, soundness and trouble watch, closing par, latest run and alerts. Use horse_intelligence instead for the full state, horse_explanation for the reasons behind the read, and horse_changes for what changed over time.

  • resolve_horse

    PAID: US$0.001 per successful autonomous x402 call, or 1 Horse Truth direct credit. Resolve a horse identity against Horse Truth profiles. Use this tool when you have a partial or uncertain horse name and need the exact Horse Truth identity before other calls. Use horse_snapshot or horse_intelligence instead once you know the exact name.

  • sandbox_preview

    FREE: Return a real derived Horse Truth proof for today's default sample horse (picked once a day by a published rule, with a deep, stable read) plus the cheapest exact paid next actions. Pass an optional horse name to get the free public teaser for that horse instead. No paid entitlement is consumed and no raw provider records are exposed. Use this tool when you want to see a real example result, or the free public teaser for one horse, before paying. Use discover_purchase_options instead to le

Transport

Horse Truth Machine Intelligence supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

streamable-http

Other Model Context Protocol servers in the same space as Horse Truth Machine Intelligence. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.