ServiceNow MCP Server

What does “ServiceNow” MCP Server do?

The ServiceNow MCP Server is a Model Completion Protocol (MCP) server implementation designed to bridge AI assistants, such as Claude, with ServiceNow instances. This server allows AI models to connect directly to ServiceNow, enabling them to retrieve data and perform various actions through the ServiceNow API. By facilitating this connection, the ServiceNow MCP Server empowers developers and teams to automate workflows, manage IT service requests, and interact programmatically with ServiceNow resources, leading to more efficient development and operations. It acts as a crucial integration layer, making it easier for AI agents to access, query, and manipulate ServiceNow data as part of broader development or business workflows.

List of Prompts

No prompt templates are explicitly listed in the repository or documentation.

List of Resources

No specific MCP resources are described in the repository or documentation.

List of Tools

No explicit tools are documented in the available files or README.

Use Cases of this MCP Server

• Automating IT Service Requests
  Use the ServiceNow MCP Server to automate the creation, retrieval, and management of IT service tickets, reducing manual workload and increasing efficiency.
• Data Retrieval for Reporting
  Enable AI assistants to fetch incident, change, or asset data from ServiceNow for reporting or dashboard generation, streamlining business intelligence operations.
• Workflow Automation
  Integrate ServiceNow with external tools and services by allowing AI agents to initiate and manage ServiceNow workflows programmatically.
• Incident Management
  Empower AI agents to query incident status, update tickets, and escalate issues within ServiceNow, improving response time and operational visibility.

How to set it up

Windsurf

1. Prerequisites:
   Ensure you have Node.js and Windsurf installed.
2. Locate Configuration:
   Open your Windsurf configuration file.
3. Add ServiceNow MCP Server:
   Add the following to your mcpServers object:

   {
     "servicenow-mcp": {
       "command": "npx",
       "args": ["@osomai/servicenow-mcp@latest"]
     }
   }
   

4. Save and Restart:
   Save the file and restart Windsurf.
5. Verify Setup:
   Check the Windsurf UI to verify the MCP server is running.

Claude

1. Prerequisites:
   You need access to Claude’s configuration or plugin interface.
2. Locate Configuration:
   Open the Claude MCP server settings.
3. Add ServiceNow MCP Server:
   Insert:

   {
     "servicenow-mcp": {
       "command": "npx",
       "args": ["@osomai/servicenow-mcp@latest"]
     }
   }
   

4. Save and Restart Claude:
   Apply changes and restart Claude.
5. Verify Connection:
   Test a ServiceNow query to confirm integration.

Cursor

1. Prerequisites:
   Install Node.js and Cursor.
2. Locate Configuration:
   Edit the Cursor MCP plugin configuration.
3. Add ServiceNow MCP Server:

   {
     "servicenow-mcp": {
       "command": "npx",
       "args": ["@osomai/servicenow-mcp@latest"]
     }
   }
   

4. Save and Restart:
   Restart Cursor for settings to take effect.
5. Verify:
   Use Cursor’s interface to test ServiceNow connectivity.

Cline

1. Prerequisites:
   Have Node.js and Cline installed.
2. Edit Configuration File:
   Open the Cline MCP configuration file.
3. Add ServiceNow MCP Server:

   {
     "servicenow-mcp": {
       "command": "npx",
       "args": ["@osomai/servicenow-mcp@latest"]
     }
   }
   

4. Save and Restart:
   Save changes and restart Cline.
5. Verify Setup:
   Confirm that ServiceNow MCP is listed among available servers.

Securing API Keys

Use environment variables to secure your ServiceNow credentials. Example configuration:

{
  "servicenow-mcp": {
    "command": "npx",
    "args": ["@osomai/servicenow-mcp@latest"],
    "env": {
      "SERVICENOW_INSTANCE": "your-instance",
      "SERVICENOW_API_KEY": "${SERVICENOW_API_KEY}"
    },
    "inputs": {
      "apiKey": "${SERVICENOW_API_KEY}"
    }
  }
}

Replace your-instance and provide your API key securely in your environment.

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:

{
  "servicenow-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 “servicenow-mcp” to the actual name of your MCP server and replace the URL with your own MCP server URL.

Overview

Roots Support: Not mentioned

Based on the above tables, the ServiceNow MCP Server provides a minimal but functional integration bridge for ServiceNow, with clear setup instructions and licensing, but lacks detailed documentation on prompts, tools, or resources. I would rate this MCP server a 4/10 for general completeness and developer-friendliness at this stage.

MCP Score