--- 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 --- # Model Context Protocol Client # Model Context Protocol Client {#ariaid-title1} Release version: Zurich Updated July 2, 2025 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read The ServiceNow® Model Context Protocol (MCP) client enables you to access the Model Context Protocol tools that are hosted externally and published using an MCP server in the ServiceNow® AI Agent Studio. ## Get started {#mcp-client__cf-app-landing-get-started} |-|-| | [ExploreLearn more about MCP Client](https://www.servicenow.com/docs/G4ZheweyX2gQgnABGN41Ow "The Model Context Protocol (MCP) client in ServiceNow is a framework that allows AI agents, such as large language models (LLMs), to interact with and manage ServiceNow instances. This interaction takes place within a server-client architecture.") | [ConfigureConfigure the Model Context Protocol Client in AI Agent Studio](https://www.servicenow.com/docs/7I0Is_A~3de9zQuj8aNRCA "Configure the MCP Client to execute agentic workflows with AI agents and mapped tools.") | | [Add MCP server in AI Agent StudioAdd MCP servers in AI Agent Studio](https://www.servicenow.com/docs/wOlzUhhsmmzOWHz4s35Zdg "An MCP server hosts the APIs and tools required by an AI application to receive and process calls from MCP clients. The MCP server governs ingress traffic and promotes secure and efficient access to tools. Adding an MCP server in the AI Agent Studio helps you to leverage the Model Context Protocol as a tool for an AI agent.") | [ReferenceLearn more about the user roles, tables, and properties in MCP Client](https://www.servicenow.com/docs/EXRkfVd3YSPWra5GS_E0VA "Find more information about user roles, tables, and the different properties that are installed with the Model Context Protocol Client application.") | [ ] {#mcp-client__table_vfm_hm5_vfc} Important: * Not all model providers are available for customers with in-country SKUs, and some AI products/features are currently unavailable for in-country customers. For more information, see the [KB1584492](https://support.servicenow.com/kb?id=kb_article_view&sysparm_article=KB1584492) article in the Now Support Knowledge Base. Be sure to check for model provider availability updates in future releases.{#mcp-client__na-in-country-notice} * Some AI products/features are currently unavailable for customers in the FedRAMP, NSC DOD IL5, or Australia IRAP-Protected data centers, self-hosted customers, or in other restricted environments. For more information, see the [KB0743854](https://support.servicenow.com/kb?id=kb_article_view&sysparm_article=KB0743854) article in the Now Support Knowledge Base. Be sure to check for availability updates in future releases.{#mcp-client__na-restricted-envs-notice} * Some AI products/features are currently available only for customers in some regions. Be sure to check for availability updates in future releases.{#mcp-client__na-standalone-language-notice} * Some AI products and skills are not available in Regulated Markets. For more information, see [KB2593939: Regulated Markets AI Products/Skills Not Available](https://support.servicenow.com/kb?id=kb_article_view&sys_kb_id=e8d7cc82475aba90b7832920326d4362). Be sure to check for availability updates in future releases. {#mcp-client__ul_j3b_4vd_wcc} ## AI limitations {#mcp-client__id_mpg_qgn_xyb} 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-client__p_kv2_nfg_h1c} ## Data processing {#mcp-client__id_w3h_qgn_xyb} 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-client__p_lv2_nfg_h1c} ## Data collection {#mcp-client__id_qcq_4gn_xyb} 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-client__p_jv2_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.").