AI Workbench MCP Server

What the code does

We read the source, 20 h ago · rules 3dff92dd89df

A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.

        result = subprocess.run(

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

    result = subprocess.run(

      - name: Create or update PR gate check run
        shell: bash
        env:
          GH_TOKEN: ${{ github.token }}

        path = os.path.join(policy_dir, policy_name)

            shell=True,

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

claude mcp add ai-workbench-mcp -- uvx ai-workbench-mcp

{
  "mcpServers": {
    "ai-workbench-mcp": {
      "args": [
        "ai-workbench-mcp"
      ],
      "command": "uvx"
    }
  }
}

[mcp_servers.ai-workbench-mcp]
command = "uvx"
args = ["ai-workbench-mcp"]

{
  "mcpServers": {
    "ai-workbench-mcp": {
      "args": [
        "ai-workbench-mcp"
      ],
      "command": "uvx"
    }
  }
}

{
  "mcpServers": {
    "ai-workbench-mcp": {
      "args": [
        "ai-workbench-mcp"
      ],
      "command": "uvx"
    }
  }
}