mcpField
O
OpenTrain

OpenTrain

Local
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About OpenTrain

Hire human data labelers, RLHF annotators, and evaluators from your coding agent

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "opentrain-ai-opentrain": {
      "command": "npx",
      "args": [
        "-y",
        "@opentrain-ai/mcp"
      ],
      "env": {
        "OPENTRAIN_PERSONAL_API_TOKEN": "<OPENTRAIN_PERSONAL_API_TOKEN>",
        "OPENTRAIN_API_BASE_URL": "<OPENTRAIN_API_BASE_URL>"
      }
    }
  }
}
Run commandnpx -y @opentrain-ai/mcp
Environment variables to set
OPENTRAIN_PERSONAL_API_TOKENSecretOpenTrain personal API token (ot_pat_...). Optional: if absent, the server can register an anonymous agent account at runtime for a human to claim.
OPENTRAIN_API_BASE_URLOpenTrain API base URL. Defaults to https://app.opentrain.ai.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@opentrain-ai/mcp0.2.2

Tools

41

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
forcebooleanNoSet true to overwrite existing saved OpenTrain credentials with a brand-new agent account.
agentNamestringNoOptional display name for the agent identity (e.g. "Claude Code").
organizationNamestringNoOptional name for the employer organization created with the agent account.

Details

The maintainer has not added details yet. Check the README in the repository.

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.