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mcp/harbor
Gemini CLI

tachibot mcp for Gemini CLI

io.github.bypawel/tachibot-mcp

Multi-model AI orchestration with 31 tools, YAML workflows, and 5 token-optimized profiles.

client:Gemini CLI transport:stdio runtime:npm

Install tachibot mcp in Gemini CLI

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

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{
  "mcpServers": {
    "tachibot-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "tachibot-mcp"
      ],
      "env": {
        "PERPLEXITY_API_KEY": "<PERPLEXITY_API_KEY>",
        "GROK_API_KEY": "<GROK_API_KEY>",
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "GOOGLE_API_KEY": "<GOOGLE_API_KEY>",
        "OPENROUTER_API_KEY": "<OPENROUTER_API_KEY>",
        "TACHIBOT_PROFILE": "<TACHIBOT_PROFILE>"
      }
    }
  }
}

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

tachibot mcp in other clients

tachibot mcp MCP server