--- sourceDocument: Australia Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences Release : - australia ft:locale : - en-US ft:publication_title : - Australia Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # MCP Client # Model Context Protocol Client {#ariaid-title1} Release version: Australia Updated September 2, 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 Model Context Protocol Client The ServiceNow Model Context Protocol Client (MCP Client) enables customers to access externally hosted Model Context Protocol tools published via an MCP Server within ServiceNow AI Agent Studio. This integration facilitates the use of advanced AI capabilities directly through the AI Agent Studio interface. Show full answer Show less ## Key Features * **Access MCP Tools:** MCP Client allows seamless connection to MCP tools hosted outside the customer's ServiceNow instance, enhancing AI functionality. * **Configuration:** Customers can configure the MCP Client and add MCP Servers within AI Agent Studio to tailor AI services to their needs. * **User Roles and Properties:** The client supports specific user roles, tables, and properties to manage and control access and functionality effectively. ## Availability and Restrictions Not all model providers and AI features are available to all customers. Limitations apply based on geographic location, data center type, and regulatory environment: * In-country SKUs may restrict access to some model providers and AI functions. * FedRAMP, NSC DOD IL5, Australia IRAP-Protected data centers, self-hosted customers, and other restricted environments may have limited AI product availability. * Some AI products and skills are unavailable in regulated markets. Customers should regularly check for updates on model and feature availability in new ServiceNow releases. ## AI Limitations and Responsible Use The MCP Client leverages AI and machine learning, which may not always provide fully accurate or appropriate results. Customers are responsible for: * Testing and evaluating AI outputs for accuracy and suitability. * Implementing human oversight to prevent reliance solely on AI for critical decisions. * Complying with ServiceNow's AI Acceptable Use Policy. This is particularly important in sensitive sectors such as healthcare, finance, legal, employment, security, and infrastructure. ## Data Processing and Privacy Using the MCP Client involves transferring data from customer instances to a centralized ServiceNow environment, which may be located in different geographic regions or hosted by third-party cloud providers like Microsoft Azure. Key points include: * Data handling complies with ServiceNow's internal policies and CORE Compliance Portal standards. * Controls exist to enable or disable data collection and processing. * ServiceNow collects inputs, outputs, and edits from the AI application to improve technology but allows customers to opt out of future data collection at any time. ## Next Steps for Customers * Explore and configure MCP Client within AI Agent Studio to unlock AI capabilities. * Review and understand any restrictions based on your region or environment. * Ensure responsible use by validating AI outputs and adhering to policies. * Manage data collection preferences according to your organizational requirements. The ServiceNow Model Context Protocol Client (MCP Client) allows you to access the Model Context Protocol tools hosted externally and published via an MCP Server in the ServiceNow AI Agent Studio. ## Get started {#mcp-client-landing__cf-app-landing-get-started} |-|-| | [ExploreLearn how MCP Client allows you to access the MCP tools in AI Agent Studio.](https://www.servicenow.com/docs/5rt1Ye1LLi79QtmCnwIOsQ "The Model Context Protocol (MCP) is a standardized client-server protocol that enables AI applications to discover and interact seamlessly with external tools, data sources, and services. MCP facilitates communication between an AI host application (like AI Agent Studio), an MCP Client embedded in the host, and one or more MCP Servers that expose specific capabilities such as tools.") | [ConfigureConfigure the MCP Client in AI Agent Studio.](https://www.servicenow.com/docs/x0us0qGyGTmE96m_Qs6f0A "Configure the MCP Client to execute agentic workflows with AI agents and mapped tools.") | | [Add MCP ServersAdd MCP Servers in AI Agent Studio](https://www.servicenow.com/docs/JD01DOW4kYajECy0BcvAzg "An MCP Server Console hosts the APIs and tools required by an AI application. It receives and processes calls from MCP Clients to govern ingress traffic and promote secure access to tools. Adding an MCP Server Console in the AI Agent Studio helps you to leverage the Model Context Protocol as a tool in the ServiceNow agentic AI system.") | [ReferenceLearn more about the user roles, tables, and properties in MCP Client](https://www.servicenow.com/docs/YXv58JT~3cjrsljS1STGpw "Find more information about user roles, tables, and the different properties that are installed with the Model Context Protocol Client application.") | [ ] {#mcp-client-landing__table_jhv_g2w_4kc} 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-landing__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-landing__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-landing__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-landing__ul_j3b_4vd_wcc} ## AI limitations {#mcp-client-landing__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-landing__p_kv2_nfg_h1c} ## Data processing {#mcp-client-landing__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-landing__p_lv2_nfg_h1c} Note: We have controls in place to enable/disable the data collection and data processing. ## Data collection {#mcp-client-landing__id_hq2_xbr_z3c} 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 [AI Opt-Out page](https://www.servicenow.com/docs/DzGSpaSodzXHT~j43IafOw "Data sharing improves ServiceNow AI products. You can opt out of data sharing from the Now Assist Admin console Settings page.").{#mcp-client-landing__p_jv2_nfg_h1c} For more information, see the [ServiceNow AI documentation](https://www.servicenow.com/docs/gtFvwZPPzd_OqzCJiNJYgw "Take advantage of artificial intelligence-based tools to prioritize and automate routine tasks,  detect major incidents, and surface insights.").{#mcp-client-landing__p_pv2_nfg_h1d}