Nomad MCP Server Integration

What does “Nomad” MCP Server do?

The Nomad MCP Server is a Golang-based implementation of the Model Context Protocol (MCP) designed to facilitate seamless integration between AI assistants and HashiCorp Nomad, a workload orchestrator. By serving as a bridge, the Nomad MCP Server enables AI-driven workflows to interact directly with Nomad clusters, providing capabilities such as querying job statuses, managing workloads, and automating infrastructure operations. This integration empowers developers to build intelligent assistants and agents that can perform real-time orchestration tasks, enhance DevOps automation, and streamline cloud-native application management. The server’s primary role is to expose Nomad data, API endpoints, and operational tools to AI clients, thus enabling context-rich and actionable interactions that boost productivity and operational efficiency in development environments.

List of Prompts

• No prompt templates are explicitly listed in the repository.
  (The prompts folder exists but its contents are not accessible from the main page.)

List of Resources

• No explicit list of resources is provided in the visible repository files.
  (A resources concept is implied by MCP, but not detailed here.)

List of Tools

• No explicit list of tools is provided in the main repository view or server files.
  (A tools directory is present, but file-level details are not visible.)

Use Cases of this MCP Server

• Nomad Cluster Monitoring:
  Enables AI assistants to check the status of jobs, allocations, and nodes in a Nomad cluster, allowing teams to monitor workloads programmatically.

• Automated Job Management:
  Facilitates the submission, scaling, or stopping of Nomad jobs through AI-driven workflows, streamlining DevOps practices.

• Incident Response Automation:
  AI agents can interact with Nomad to automatically remediate or escalate incidents, improving resilience and uptime.

• Infrastructure Insights:
  Provides developers with up-to-date context about infrastructure health, deployments, and resource utilization directly via AI tools.

How to set it up

Windsurf

1. Ensure you have Node.js and the Windsurf editor installed.
2. Locate your Windsurf configuration file (usually windsurf.config.json).
3. Add the Nomad MCP Server to the mcpServers section using the following JSON:

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

4. Save your configuration and restart Windsurf.
5. Verify the MCP Server is running by checking the Windsurf logs.

Securing API Keys

Use environment variables to securely manage sensitive keys:

{
  "mcpServers": {
    "nomad": {
      "command": "npx",
      "args": ["@kocierik/mcp-nomad@latest"],
      "env": {
        "NOMAD_TOKEN": "${env:NOMAD_TOKEN}"
      },
      "inputs": {
        "endpoint": "https://my-nomad-server.example"
      }
    }
  }
}

Claude

1. Install Node.js and ensure Claude supports external MCP servers.
2. Open Claude’s configuration file.
3. Insert the following MCP server configuration:

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

4. Save and restart Claude.
5. Confirm setup via Claude’s MCP integration panel.

Cursor

1. Install Node.js and open Cursor’s settings.
2. Find the MCP server configuration section.
3. Add the Nomad MCP Server:

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

4. Save your changes and restart Cursor.
5. Check the MCP server connection status.

Cline

1. Install Node.js and Cline.
2. Edit Cline’s configuration file.
3. Add the Nomad MCP Server in the MCP servers section:

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

4. Save and restart Cline.
5. Verify the MCP server is active by running a test command.

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:

{
  "nomad": {
    "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 “nomad” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The Nomad MCP Server repository is promising for AI-driven Nomad orchestration, with clear integration instructions and open-source licensing. However, the lack of visible prompt, resource, and tool definitions limits the transparency and immediate usability of its full MCP feature set. For users seeking advanced or customizable MCP workflows, further documentation or code exploration may be needed.

MCP Score