Litmus MCP Server

What does “Litmus” MCP Server do?

The Litmus MCP (Model Context Protocol) Server is the official server developed by Litmus Automation that enables Large Language Models (LLMs) and intelligent systems to interact seamlessly with Litmus Edge for device configuration, monitoring, and management. Built on the MCP SDK and adhering to the Model Context Protocol specification, the Litmus MCP Server allows AI assistants to connect with external industrial data sources and IoT devices, thereby enhancing development workflows. This server plays a pivotal role in facilitating tasks such as device data queries, remote device management, real-time monitoring, and workflow automation, making it a powerful tool for industrial IoT solutions and smart automation.

List of Prompts

No specific prompt templates were mentioned or documented in the repository.

List of Resources

No explicit MCP resources are documented in the repository.

List of Tools

No tool definitions found in the server.py or equivalent files in this repository.

Use Cases of this MCP Server

• Device Configuration
  Utilize the Litmus MCP Server to remotely configure industrial devices connected via Litmus Edge, streamlining deployment and management across multiple environments.
• Real-time Monitoring
  Enable LLMs and intelligent systems to receive real-time data streams and alerts from edge devices, improving operational response times.
• Device Management Automation
  Automate routine device management tasks such as firmware updates, status checks, and diagnostics, reducing manual intervention and error rates.
• Workflow Integration
  Integrate MCP Server capabilities into broader automation workflows, connecting device data and control actions with business logic and analytics tools.

How to set it up

Windsurf

1. Ensure you have Node.js and Windsurf installed.
2. Open your Windsurf configuration file.
3. Add the Litmus MCP Server using the following JSON snippet:

   "mcpServers": {
     "litmus-mcp": {
       "command": "npx",
       "args": ["@litmus/mcp-server@latest"]
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify the setup via the Windsurf interface.

Securing API Keys Example

"mcpServers": {
  "litmus-mcp": {
    "command": "npx",
    "args": ["@litmus/mcp-server@latest"],
    "env": {
      "LITMUS_API_KEY": "${LITMUS_API_KEY}"
    },
    "inputs": {
      "apiKey": "${LITMUS_API_KEY}"
    }
  }
}

Claude

1. Install Node.js and set up Claude.
2. Locate the Claude configuration file.
3. Insert the Litmus MCP Server under mcpServers:

   "mcpServers": {
     "litmus-mcp": {
       "command": "npx",
       "args": ["@litmus/mcp-server@latest"]
     }
   }
   

4. Save your changes and restart Claude.
5. Check server availability from the Claude UI.

Securing API Keys Example

"mcpServers": {
  "litmus-mcp": {
    "command": "npx",
    "args": ["@litmus/mcp-server@latest"],
    "env": {
      "LITMUS_API_KEY": "${LITMUS_API_KEY}"
    },
    "inputs": {
      "apiKey": "${LITMUS_API_KEY}"
    }
  }
}

Cursor

1. Make sure Node.js and Cursor are installed.
2. Edit the Cursor configuration file.
3. Add the following configuration:

   "mcpServers": {
     "litmus-mcp": {
       "command": "npx",
       "args": ["@litmus/mcp-server@latest"]
     }
   }
   

4. Save the file and restart Cursor.
5. Confirm the MCP server connection in Cursor.

Securing API Keys Example

"mcpServers": {
  "litmus-mcp": {
    "command": "npx",
    "args": ["@litmus/mcp-server@latest"],
    "env": {
      "LITMUS_API_KEY": "${LITMUS_API_KEY}"
    },
    "inputs": {
      "apiKey": "${LITMUS_API_KEY}"
    }
  }
}

Cline

1. Ensure prerequisites such as Node.js and Cline are installed.
2. Open the Cline configuration.
3. Insert the Litmus MCP Server configuration:

   "mcpServers": {
     "litmus-mcp": {
       "command": "npx",
       "args": ["@litmus/mcp-server@latest"]
     }
   }
   

4. Save the config file and restart Cline.
5. Validate the setup using Cline’s interface.

Securing API Keys Example

"mcpServers": {
  "litmus-mcp": {
    "command": "npx",
    "args": ["@litmus/mcp-server@latest"],
    "env": {
      "LITMUS_API_KEY": "${LITMUS_API_KEY}"
    },
    "inputs": {
      "apiKey": "${LITMUS_API_KEY}"
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "litmus-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change "litmus-mcp" to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

A careful review of this repository shows that, while the setup and integration instructions are clear and the use cases are well defined, there is currently no documentation or code that details prompt templates, explicit MCP resources, or tool implementations.

Our opinion

This MCP server is well-documented for setup and integration, especially for targeting industrial IoT use cases. However, compared to more feature-rich servers, it currently lacks detail around prompt templates, resource exposure, and executable tools, which are core MCP primitives. Thus, while it’s strong for device management and automation scenarios, developers looking for deeper LLM-driven workflows may find it limited in its current state.

MCP Score