--- sourceDocument: Zurich Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/zurich/intelligent-experiences Release : - zurich ft:locale : - en-US ft:publication_title : - Zurich Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # MCP Server Console # MCP Server Console {#ariaid-title1} Release version: Zurich Updated July 29, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of MCP Server Console The MCP Server Console enhances ServiceNow instances by enabling secure and governed access for AI applications using Model Context Protocol (MCP) servers. These MCP servers extend the AI Platform® capabilities to external MCP clients and employee experiences, allowing integration and interaction over the Model Context Protocol. Access to specific features, generative AI skills, agentic workflows, and AI agents depends on your ServiceNow license tier. Show full answer Show less ## Key Features * **Creation and Configuration:** Easily create and configure MCP servers within the MCP Server Console to tailor AI functionality to your requirements. * **Integration:** MCP servers can be called from MCP clients, enabling seamless communication and AI-driven workflows across systems. * **Governance and Security:** Provides governed, secure access to ensure controlled and compliant AI interactions within your ServiceNow environment. ## Important Considerations * **AI Limitations:** The AI capabilities rely on machine learning models that may not always produce accurate or appropriate results. It is crucial to test and evaluate outputs with human oversight, especially in sensitive areas such as healthcare, finance, legal, and security. * **Data Handling:** Data from your ServiceNow instance may be transferred to centralized ServiceNow environments or third-party cloud providers like Microsoft Azure, managed under ServiceNow's compliance policies. * **Data Collection and Privacy:** Inputs and outputs from the application are collected to improve ServiceNow AI technologies. Customers can opt out of data collection through the Now Assist Opt-Out mechanism. ## Getting Started and Resources * Learn how to create and configure MCP servers and connect MCP clients to servers through available documentation and tutorials. * Utilize helpful ServiceNow community articles and the ServiceNow Store listing for MCP Server Console to deepen your understanding and implementation capabilities. * Refer to ServiceNow's AI Acceptable Use Policy to ensure compliance in deploying AI features. 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. Note: Depending on your license, you will have access to certain application features, generative AI skills, agentic workflows, and AI agents. For more information, see [ServiceNow product tiers](https://www.servicenow.com/docs/Iw6gFMnoS_XyhExgXNwRVg "ServiceNow structures its products and packages in three tiers — Foundation, Advanced, and Prime. Each tier incorporates AI and builds progressively on the previous one with additional AI capabilities, agents, and governance tools."). In this video, learn about the Model Context Protocol and how to create and use MCP servers with MCP Server Console. ## Get started {#mcp-server-console-landing__cf-app-landing-get-started} |-|-| | [ExploreLearn about MCP Server Console.](https://www.servicenow.com/docs/3~884tN0HPm0U5wGXEV9Nw "Learn about how you can use Model Context Protocol (MCP) servers to allow AI applications to access data and perform actions on a ServiceNow instance.") | [ConfigureCreate an MCP server and configure its tools.](https://www.servicenow.com/docs/bfRLHAhGJYT8pLg51BDHYQ "Create a Model Context Protocol (MCP) server and configure the tools and inputs it exposes to MCP clients.") | | [ConnectCall an MCP server from an MCP client.](https://www.servicenow.com/docs/QOfeNh6qViSP7rEozYRy3A "Configure a Model Context Protocol (MCP) client to connect to an MCP server and prompt the server to perform a task.") | [ReferenceGet details about components installed with MCP Server Console.](https://www.servicenow.com/docs/MoIPMviZHvfSjt7IO6fXtg "Reference topics include information about MCP Server Console roles, tables, and more.") | [ ] {#mcp-server-console-landing__table_iym_jph_ggc} ## Helpful resources {#mcp-server-console-landing__cf-app-landing-get-help} Some ServiceNow resources that can provide you with helpful information are: * [Model Context Protocol Server listing](https://store.servicenow.com/store/app/6e521bf447713e9482f632c4f16d434e#versionSummary) in the ServiceNow Store * [MCP Server Console FAQ](https://www.servicenow.com/community/now-assist-articles/mcp-server-console-faq/ta-p/3550125) article in the ServiceNow Community * [Designing your first custom ServiceNow MCP server with MCP Server Console](https://www.servicenow.com/community/now-assist-articles/designing-your-first-custom-servicenow-mcp-server-with-mcp/ta-p/3566757) article in the ServiceNow Community * [Action Fabric: MCP Server, MCP Client, and A2A explained](https://www.servicenow.com/community/now-assist-articles/action-fabric-mcp-server-mcp-client-and-a2a-explained/ta-p/3557794) article in the ServiceNow Community {#mcp-server-console-landing__ul_nhs_lbr_zjc} ## AI limitations {#mcp-server-console-landing__section_d21_2dk_jgc} 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](https://www.servicenow.com/ai-acceptable-use-policy.html), which may be updated by ServiceNow.{#mcp-server-console-landing__p_kv2_nfg_h1c} ## Data processing {#mcp-server-console-landing__section_d21_2dk_jgd} 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](https://support.servicenow.com/kb?id=kb_article_view&sysparm_article=KB0564067).{#mcp-server-console-landing__p_lv2_nfg_h1c} ## 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](https://www.servicenow.com/docs/AzXmCtKZv67HkI5yL8rSKA "Data sharing improves ServiceNow AI products. You can opt out of data sharing from the Now Assist Admin console Settings page.").{#mcp-server-console-landing__p_ov2_nfg_h1c} For more information, see the [Now Assist documentation](https://www.servicenow.com/docs/gxMmkK4X99yOR3Kg97CI~g "ServiceNow Otto uses generative AI that is designed to enhance user productivity and efficiency through conversation and proactive experiences.").{#mcp-server-console-landing__p_pv2_nfg_h1c}