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mcp/harbor
Gemini CLI

Junê for Gemini CLI

io.github.junemind/june-mcp

Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions

client:Gemini CLI transport:stdio runtime:pypi

Install Junê 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": {
    "june-mcp": {
      "command": "uvx",
      "args": [
        "june-mcp"
      ],
      "env": {
        "JUNE_BASE_URL": "<JUNE_BASE_URL>",
        "JUNE_CANVAS": "<JUNE_CANVAS>",
        "JUNE_API_KEY": "<JUNE_API_KEY>",
        "JUNE_LLM_KEY": "<JUNE_LLM_KEY>",
        "JUNE_CANVAS_CREATE": "<JUNE_CANVAS_CREATE>",
        "JUNE_READONLY": "<JUNE_READONLY>",
        "JUNE_FILES_ROOT": "<JUNE_FILES_ROOT>",
        "JUNE_DOCS_CANVAS": "<JUNE_DOCS_CANVAS>",
        "JUNE_DOCS_REFRESH": "<JUNE_DOCS_REFRESH>",
        "JUNE_REFRESH_CALLS": "<JUNE_REFRESH_CALLS>",
        "JUNE_REFRESH_MINUTES": "<JUNE_REFRESH_MINUTES>",
        "JUNE_DIGEST_CHARS": "<JUNE_DIGEST_CHARS>",
        "JUNE_EXPORT_ROOT": "<JUNE_EXPORT_ROOT>"
      }
    }
  }
}

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

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