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MCP (Model Context Protocol) exposes job configurations, hyperparameters, metrics, logs, and validation samples to your AI coding assistant — ask directly in Cursor / Claude: “analyze the reward curve of job xxx and suggest how to tune lr and KL”.

Setup steps

1

Open the MCP page

Console → MCP (/mcp).
2

Copy the client configuration

Pick your client (Cursor / Claude / VS Code, etc.) and copy the generated JSON snippet into the client’s MCP configuration.
3

OAuth authorization

When the client connects, it automatically opens the browser to complete OAuth 2.1 + PKCE authorization — no manual token entry.
4

Start asking


Tools and permissions

The MCP page lets you toggle tools individually. Read tools are enabled by default; write tools are disabled by default and must be explicitly enabled.
Enabling write tools means your AI agent can actually submit jobs (subject to full quota and validation, and the platform generates a submission plan for confirmation first). Be cautious about enabling them in shared team environments.

Endpoint and protocol

  • Transport: Streamable HTTP MCP (protocol 2026-07-28)
  • Dual-era: the same endpoint serves modern clients (no handshake, server/discover) and legacy initialize clients on 2025-11-25 and earlier
  • Auth: OAuth 2.1 + PKCE. Prefers Client ID Metadata Documents; Dynamic Client Registration remains as a compatibility fallback. Authorization-code redirects include RFC 9207 iss (skipped in FORGE_NO_AUTH=1 local debugging mode)
Console path: /mcp