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mcp/harbor
Gemini CLI

mathlas for Gemini CLI

io.github.archerkattri/mathlas

Airtight math for AI agents: 3.68M-doc theorem search + numeric/Lean verification. No LLM, no key.

client:Gemini CLI transport:stdio runtime:pypi

Install mathlas 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": {
    "mathlas": {
      "command": "uvx",
      "args": [
        "mathlas-mcp"
      ],
      "env": {
        "MATHLAS_SEED": "<MATHLAS_SEED>",
        "MATHLAS_INDEX": "<MATHLAS_INDEX>"
      }
    }
  }
}

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

mathlas in other clients

mathlas MCP server