MCP Server Console

  • Release version: Zurich
  • Updated June 11, 2026
  • 2 minutes to read
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    Summary of MCP Server Console

    MCP Server Console provides secure and governed access to ServiceNow instance functionality specifically for AI applications using Model Context Protocol (MCP) servers. MCP servers enable extending ServiceNow AI Platform® capabilities to external MCP clients and employee experiences via the Model Context Protocol.

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    This product allows you to create, configure, and connect MCP servers, facilitating integration between ServiceNow AI features and external clients securely and efficiently.

    Key Features

    • Create and Configure MCP Servers: Set up MCP servers and configure their tools within the ServiceNow environment.
    • Connect MCP Clients: Call and interact with MCP servers from external MCP clients, enabling seamless AI functionality extension.
    • Governed AI Access: Control and secure AI-related operations through the MCP Server Console, ensuring compliance and proper use.

    Important Considerations

    • AI Limitations: As the application leverages AI and machine learning, outputs may not always be accurate or complete. It is essential to perform your own testing, apply human oversight, and avoid relying solely on AI-generated results, especially in sensitive domains such as healthcare, finance, or security.
    • Compliance: Use of MCP Server Console requires adherence to ServiceNow’s AI Acceptable Use Policy.
    • Data Processing: Data may be transferred from your ServiceNow instance to centralized environments or third-party cloud providers (e.g., Microsoft Azure) following ServiceNow’s internal policies and compliance standards.
    • Data Collection and Opt-Out: ServiceNow collects inputs and outputs from this application to improve AI technologies. Customers can opt out of data collection as described in the Now Assist documentation and opt-out pages.

    MCP Server Console enables secure and governed access to functionality on a ServiceNow instance for AI applications with Model Context Protocol (MCP) servers. MCP servers extend ServiceNow AI Platform® functionality into any external MCP client and employee experience over the Model Context Protocol.

    In this video, learn about the Model Context Protocol and how to create and use MCP servers with MCP Server Console.

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    AI limitations

    This application uses artificial intelligence (AI) and machine learning, which are rapidly evolving fields of study that generate predictions based on patterns in data. As a result, this application may not always produce accurate, complete, or appropriate information. Furthermore, there is no guarantee that this application has been fully trained or tested for your use case. To mitigate these issues, it is your responsibility to test and evaluate your use of this application for accuracy, harm, and appropriateness for your use case, employ human oversight of output, and refrain from relying solely on AI-generated outputs for decision-making purposes. This is especially important if you choose to deploy this application in areas with consequential impacts such as healthcare, finance, legal, employment, security, or infrastructure. You agree to abide by ServiceNow’s AI Acceptable Use Policy, which may be updated by ServiceNow.

    Data processing

    This application requires data to be transferred from ServiceNow customers' individual instances to a centralized ServiceNow environment, which may be located in a different data center region from the one where your instance is, and potentially to a third-party cloud provider, such as Microsoft Azure. This data is handled per ServiceNow's internal policies and procedures, including our policies available through our CORE Compliance Portal.

    Data collection

    ServiceNow collects and uses the inputs, outputs, and edits to outputs of this application to develop and improve ServiceNow technologies including ServiceNow models and AI products. Customers can opt out of future data collection at any time, as described in the Now Assist Opt-Out page.

    For more information, see the Now Assist documentation.