station

Use CloudShip AI for optimized inference with Llama and Qwen models. This is the default when a registration key is available.

# Set your CloudShip registration key
export CLOUDSHIPAI_REGISTRATION_KEY="csk-..."
# Or use: export STN_CLOUDSHIP_KEY="csk-..."

stn init --provider cloudshipai --ship  # defaults to cloudship/llama-3.1-70b

Available models:

• cloudship/llama-3.1-70b (default) - Best balance of performance and cost
• cloudship/llama-3.1-8b - Faster, lower cost
• cloudship/qwen-72b - Alternative large model

⚠️ DEPRECATED: Anthropic OAuth is currently unavailable.

Anthropic has restricted third-party use of OAuth tokens. This authentication method is not working until further notice.

Please use one of the following alternatives:

• OpenAI API Key (recommended)
• Google Gemini API Key
• Anthropic API Key (pay-per-token, not subscription-based)

Use your existing Claude Max or Claude Pro subscription - no API billing required.

# ❌ NOT WORKING - Anthropic OAuth disabled
# stn init --provider anthropic --ship
# stn auth anthropic login

export OPENAI_API_KEY="sk-..."
stn init --provider openai --ship  # defaults to gpt-5-mini

export GEMINI_API_KEY="..."
stn init --provider gemini --ship

claude mcp add station -e OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 --scope user -- stn stdio

Verify with claude mcp list.

Add to opencode.jsonc:

{
  "mcp": {
    "station": {
      "enabled": true,
      "type": "local",
      "command": ["stn", "stdio"],
      "environment": {
        "OTEL_EXPORTER_OTLP_ENDPOINT": "http://localhost:4318"
      }
    }
  }
}

Add to .cursor/mcp.json in your project (or ~/.cursor/mcp.json for global):

{
  "mcpServers": {
    "station": {
      "command": "stn",
      "args": ["stdio"],
      "env": {
        "OTEL_EXPORTER_OTLP_ENDPOINT": "http://localhost:4318"
      }
    }
  }
}