--- 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 --- # MCP Server Console # MCP Server Console {#ariaid-title1} Release version: Brazil Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read 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. You don't need specific licences to use the platform MCP Server Console. However, individual business unit servers will need matching entitlements. For more information, see [ServiceNow product tiers](https://www.servicenow.com/docs/r/UBGwc5glUUjVANqQeiJeZA/QCGkmpN33vownhxo8L1ecg) or contact the account team. 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/QCGkmpN33vownhxo8L1ecg "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/GsRBXHPMM_RKfaF8SrQtMA "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/TwC3J5YSCOnxUIshfXccsA "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/Xku2iSiKs9CMTzxRmNtZXg "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/T5Esu4MWxG4IG_OHQlkJ0w "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 [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-server-console-landing__p_ov2_nfg_h1c} For more information, see the [ServiceNow AI documentation](https://www.servicenow.com/docs/L~S9YPJKCshgQ_L9X7q~rw "AI experiences on the ServiceNow AI Platform extend your workflows with AI-driven automation. Use generative AI skills, AI agents, and agentic workflows to automate multi-step tasks, surface relevant answers, and support self-service across your organization.").{#mcp-server-console-landing__p_pv2_nfg_h1c}