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mcp/harbor
Gemini CLI

codabench mcp for Gemini CLI

io.github.harshitagr/codabench-mcp

MCP server for the Codabench REST API — drives a full ML-benchmark participant workflow.

client:Gemini CLI transport:stdio runtime:pypi

Install codabench mcp in Gemini CLI

~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json

Held in this page only — never stored, logged, or sent anywhere but back to your screen. 

{
  "mcpServers": {
    "codabench-mcp": {
      "command": "uvx",
      "args": [
        "codabench-mcp"
      ],
      "env": {
        "CODABENCH_API_TOKEN": "<CODABENCH_API_TOKEN>"
      }
    }
  }
}

Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs

codabench mcp in other clients

codabench mcp MCP server