--- sourceDocument: Brazil Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences Release : - brazil ft:locale : - en-US ft:publication_title : - Brazil Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Model Context Protocol Client # Model Context Protocol Client {#ariaid-title1} Release version: Brazil Updated September 10, 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) provides access to externally hosted Model Context Protocol tools via an MCP Server within the ServiceNow® AI Agent Studio. It enables customers to integrate and utilize AI models published through MCP Servers to enhance their ServiceNow AI capabilities. Show full answer Show less ## Configuration and Usage * Configure the MCP Client directly within AI Agent Studio. * Add and manage MCP Servers to connect to different model providers. * Understand user roles, tables, and properties relevant to MCP Client for effective administration. ## Availability and Restrictions Not all model providers and AI features are available to every customer due to factors such as: * Geographic restrictions, including in-country SKUs and regional availability. * Data center compliance environments such as FedRAMP, NSC DOD IL5, Australia IRAP-Protected, and self-hosted customers. * Regulated markets where certain AI products and skills are not accessible. ServiceNow regularly updates availability; customers should refer to knowledge base articles for the latest information. ## AI Limitations and Responsible Use The MCP Client leverages AI and machine learning, which may not always provide fully accurate or complete results. Customers are responsible for: * Testing and evaluating AI outputs for accuracy and appropriateness. * Implementing human oversight over AI-generated content. * Avoiding exclusive reliance on AI outputs for critical decisions, especially in sensitive domains like healthcare, finance, legal, and security. Customers must comply with ServiceNow's AI Acceptable Use Policy, which may be updated periodically. ## Data Processing and Collection Using the MCP Client involves transferring data from customer instances to centralized ServiceNow environments, which may be hosted in different regions or third-party clouds such as Microsoft Azure. Data handling follows ServiceNow's internal policies and compliance standards. ServiceNow collects input, output, and output edits from this application to improve AI technologies. Customers can opt out of data collection anytime following the instructions provided in the AI Opt-Out documentation. The ServiceNow® Model Context Protocol Client (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/9EYo5EMCn5K2ucDHTdyKGg "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 Model Context Protocol Client in AI Agent Studio](https://www.servicenow.com/docs/zc7ChvUKr1b16XFJ9P5pvg "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/13W455kFsSNtIjdsiU1hjQ "An MCP Server hosts the APIs and tools required by an AI application, enabling it to receive and process calls from MCP Clients to govern ingress traffic and to promote 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 in an AI agent.") | [ReferenceLearn more about the user roles, tables, and properties in MCP Client](https://www.servicenow.com/docs/s~hxNsklIt9OYIDS53K8ag "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 [AI Opt-Out page](https://www.servicenow.com/docs/EmdgH1ffuKs1DXKWHPQY1g "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/DXIiljicT2y3QrwyNpgJWQ "ServiceNow Otto uses generative AI to enhance user productivity and efficiency through conversation and proactive experiences.").