Redfish MCP Server

Redfish MCP Server

Enables AI agents and LLMs to control and monitor Redfish-enabled hardware through power operations, system inventory, event logs, health monitoring, sensor readings, and user account management.

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README

Redfish MCP Server

A Model Context Protocol (MCP) server that enables AI agents and LLMs to control Redfish-enabled hardware and simulators through a secure API. Built with FastMCP for enhanced development experience and structured output.

Features

This MCP server provides tools for:

  • Power Operations: Control system power states (On, Off, Restart, etc.)
  • System Inventory: Get detailed hardware information and specifications
  • Event Logs: Retrieve and manage system event logs (System, Security, Manager)
  • Health Monitoring: Monitor system health, status, and sensor readings
  • User Account Management: Manage BMC user accounts and permissions
  • Sensor Monitoring: Read temperature, fan, power, and voltage sensors
  • Configuration Management: Check connection status and auto-configure from environment

Architecture

  • FastMCP Framework: Built with FastMCP for better development experience
  • Structured Output: Uses Pydantic models for type-safe, structured responses
  • Environment Configuration: Auto-configures from environment variables
  • Secure Authentication: Username/password authentication with configurable SSL
  • Development Tools: Compatible with mcp dev mode and MCP inspector

Security

All communications with Redfish endpoints are authenticated using username/password credentials. SSL verification can be configured (disabled by default for self-signed certificates common in BMCs).

Installation

This project uses uv for dependency management:

# Install development dependencies
uv sync

Usage

Environment Variable Configuration (Recommended)

The simplest way to configure the Redfish MCP server is using environment variables. The server will automatically connect on startup if these are provided:

export REDFISH_HOST="https://192.168.1.100"
export REDFISH_USERNAME="admin"
export REDFISH_PASSWORD="password123"
export REDFISH_VERIFY_SSL="false"  # Optional, defaults to false
export REDFISH_TIMEOUT="30"        # Optional, defaults to 30 seconds

MCP Client Configuration

Configure the server in your MCP client with environment variables:

Claude Desktop

Add to ~/.config/claude-desktop/claude_desktop_config.json:

{
  "mcpServers": {
    "redfish": {
      "command": "uv",
      "args": ["run", "redfish-mcp-server"],
      "cwd": "/path/to/your/redfish-mcp-server",
      "env": {
        "REDFISH_HOST": "https://192.168.1.100",
        "REDFISH_USERNAME": "admin",
        "REDFISH_PASSWORD": "password123",
        "REDFISH_VERIFY_SSL": "false"
      }
    }
  }
}

LM Studio

Add to your LM Studio configuration (mcp.json):

{
  "mcpServers": {
      "redfish": {
        "command": "uv",
        "args": [
          "--directory",
          "C:\\Users\\MyUser\\repos\\redfish-mcp-server",
          "run",
          "mcp",
          "run",
          "main.py"
        ],
        "env": {
          "REDFISH_HOST": "http://localhost:8000",
          "REDFISH_USERNAME": "admin",
          "REDFISH_PASSWORD": "password123"
        }
    }
  }
}

If developing under Windows with WSL2 where the server is running in WSL, you may need to set the REDFISH_HOST to the WSL IP address or use localhost if accessing from Windows:

{
  "mcpServers": {
      "redfish": {
        "command": "bash",
        "args": [
          "-c",
          "REDFISH_HOST=http://localhost:8000 REDFISH_USERNAME=admin REDFISH_PASSWORD=password123 /home/carlosedp/.local/bin/uv --directory /home/carlosedp/repos/redfish-mcp-server run mcp run main.py"
        ]
      }
  }
}

Manual Configuration

If you prefer not to use environment variables, you can use the tools to configure the connection:

  1. Use the redfish_get_config_status tool to check current configuration status

  2. Use the redfish_configure tool to set up connection parameters manually:

    • Host URL (e.g., https://192.168.1.100)
    • Username and password for BMC authentication
    • SSL verification settings
  3. Use the available tools to interact with your Redfish-enabled hardware:

Available Tools

  • redfish_get_config_status - Check current configuration status and connection
  • redfish_configure - Configure connection to Redfish endpoint (if not using env vars)
  • redfish_get_system_info - Get system information and inventory
  • redfish_power_control - Control system power state
  • redfish_get_event_logs - Retrieve system event logs
  • redfish_get_health_status - Get system health and status
  • redfish_manage_users - Manage user accounts
  • redfish_get_sensors - Get sensor readings
  • redfish_clear_logs - Clear system event logs

Example Usage

# Check current configuration status
await redfish_get_config_status({})

# If not configured via environment variables, configure manually
await redfish_configure({
    "host": "https://192.168.1.100",
    "username": "admin", 
    "password": "password123",
    "verify_ssl": false
})

# Get system information
await redfish_get_system_info({})

# Power on the system
await redfish_power_control({
    "action": "On"
})

# Check system health
await redfish_get_health_status({})

Development

FastMCP Development Features

This server is built with FastMCP, providing enhanced development experience:

  • Development Mode: Use mcp dev for hot reloading during development
  • MCP Inspector: Compatible with MCP inspector for debugging and testing
  • Structured Output: All responses use Pydantic models for type safety
  • Auto-generated Schemas: Tools automatically generate JSON schemas from type hints

Running the Server for Development

# Set environment variables for automatic configuration
export REDFISH_HOST="https://192.168.1.100"
export REDFISH_USERNAME="admin"
export REDFISH_PASSWORD="password123"
export REDFISH_VERIFY_SSL="false"

# Run in development mode with the inspector
uv run mcp dev main.py

The server requires a Redfish hardware or simulator to connect to. Ensure the Redfish endpoint is accessible and the credentials are correct.

You can use Redfish-Mockup-Server for testing with simulated Redfish endpoints. Get the mockup data from the DMTF Redfish Mockup bundle.

Unpack them, install dependencies and run the mockup server:

# Create a venv and install dependencies
python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`
pip install -r requirements.txt

# Run the mockup server
python redfishMockupServer.py --short-form -D public-rackmount1`

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