Container Host AIops vs Inference AIops

In-depth architectural comparison of the Container Host AIops and Inference AIops MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose Container Host AIops when:

• You need dedicated capabilities in the Developer Tools domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Container Host AIops Details

Choose Inference AIops when:

• You need dedicated capabilities in the Developer Tools domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Inference AIops Details

Feature & Specification Comparison

Specification	Container Host AIops Developer Tools	Inference AIops Developer Tools
Summary	Governed Docker + Portainer container-host ops: reads, RCA analyses, guarded writes. 34 tools.	Governed GPU inference ops (vLLM + Ray Serve): latency RCA, scaling, drain, 30 tools.
Category & Scope	Developer Tools	Developer Tools

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "container-host-aiops": {
      "command": "npx",
      "args": [
        "-y",
        "container-host-aiops"
      ]
    }
  }
}

{
  "mcpServers": {
    "inference-aiops": {
      "command": "npx",
      "args": [
        "-y",
        "inference-aiops"
      ]
    }
  }
}

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