MCP Server Console
Summarize
Summary of MCP Server Console
The MCP Server Console provides secure and governed access for AI applications to interact with a ServiceNow instance via Model Context Protocol (MCP) servers. These servers extend the capabilities of the ServiceNow AI Platform® to any external MCP client or employee experience, enabling integration through the Model Context Protocol.
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Access to specific features, generative AI skills, agentic workflows, or AI agents depends on your ServiceNow license tier.
Getting Started and Configuration
- Explore: Learn about the MCP Server Console and its functionalities.
- Configure: Create and set up MCP servers along with their associated tools.
- Connect: Integrate MCP clients by calling MCP servers to leverage AI capabilities.
- Reference: Access detailed information about components installed with MCP Server Console.
Important Considerations for AI Use
The application uses AI and machine learning, which may not always provide fully accurate or appropriate outputs. It is essential to test and validate AI-generated results, especially for critical use cases such as healthcare, finance, legal, security, or infrastructure. Human oversight is necessary, and AI outputs should not be solely relied upon for decision-making.
Users must adhere to ServiceNow’s AI Acceptable Use Policy, which governs responsible use and may be updated.
Data Processing and Collection
Data processed by the MCP Server Console is transferred from customer ServiceNow instances to a centralized ServiceNow environment, which may be located in different geographic regions or use third-party cloud providers like Microsoft Azure. This is managed in accordance with ServiceNow’s internal compliance policies.
ServiceNow collects input, output, and edits from this application to enhance AI technologies, with customers able to opt out of future data collection as outlined in the Now Assist documentation.
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.