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mcp/harbor
Gemini CLI

crowdsentinel mcp server for Gemini CLI

io.github.thomasxm/crowdsentinel-mcp-server

AI threat hunting & incident response for Elasticsearch/OpenSearch with endpoint & network forensics

client:Gemini CLI transport:stdio runtime:pypi

Install crowdsentinel mcp server in Gemini CLI

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

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{
  "mcpServers": {
    "crowdsentinel-mcp-server": {
      "command": "uvx",
      "args": [
        "crowdsentinel-mcp-server"
      ],
      "env": {
        "ELASTICSEARCH_HOSTS": "<ELASTICSEARCH_HOSTS>",
        "ELASTICSEARCH_CLOUD_ID": "<ELASTICSEARCH_CLOUD_ID>",
        "ELASTICSEARCH_API_KEY": "<ELASTICSEARCH_API_KEY>",
        "ELASTICSEARCH_USERNAME": "<ELASTICSEARCH_USERNAME>",
        "ELASTICSEARCH_PASSWORD": "<ELASTICSEARCH_PASSWORD>",
        "ELASTICSEARCH_BEARER_TOKEN": "<ELASTICSEARCH_BEARER_TOKEN>",
        "VERIFY_CERTS": "<VERIFY_CERTS>",
        "REQUEST_TIMEOUT": "<REQUEST_TIMEOUT>"
      }
    }
  }
}

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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