--- 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 --- # Explore # Exploring MCP Server Console {#ariaid-title1} Release version: Brazil Updated September 10, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 4 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 Exploring MCP Server Console The Model Context Protocol (MCP) Server Console enables ServiceNow customers to create and manage MCP servers that allow AI applications to securely access and interact with data and functionality on a ServiceNow instance. MCP defines a standard communication protocol between large language models (LLMs) and external systems, facilitating AI-driven automation and information retrieval through MCP clients such as AI agents. Show full answer Show less With MCP Server Console, AI administrators can expose instance capabilities as tools on MCP servers, which AI clients can then call using OAuth 2.0 authentication. This enables scenarios like summarizing incident or case records or performing actions directly on the instance from external AI applications like Microsoft Copilot or Claude. ## Key Features * **Create and configure MCP servers:** AI administrators can set up MCP servers on a ServiceNow instance and define which tools (functionalities and data) are exposed to MCP clients. * **Tool creation:** Tools can be created from existing AI skills and configured to expose specific fields and actions. * **Authentication:** OAuth inbound integrations secure access for MCP clients connecting to MCP servers. * **Preconfigured Quickstart Server:** Includes ready-to-use tools such as incident and case summarization and lookup functions to help customers quickly start using MCP Server Console. * **Cross-instance access:** ServiceNow's MCP Client allows AI applications on one instance to access MCP servers on another instance. **Current limitations:** Only stateless and remote servers are supported, MCP resources and prompts are not yet supported, and rate limits require service restarts to adjust. Supported transport is Streamable HTTP with optional Server-Sent Events (SSE) for streaming responses. ## Typical Workflow for AI Administrators * Identify instance functionality to expose to MCP clients. * Create MCP servers and add appropriate tools for different use cases (e.g., HR, IT). * Configure OAuth inbound integrations for client authentication. * Set up MCP clients with server and authentication details. * Employees use AI clients to query data or trigger actions through the MCP server. AI Gateway within AI Control Tower can be used to monitor MCP server usage and view metrics. ## Benefits for ServiceNow Customers * **Standardized integration:** Connect any AI application supporting MCP with ServiceNow instances. * **Granular control:** Configure which tools and data fields are accessible to MCP clients, enhancing security and data governance. * **Flexible deployment:** Support for multiple MCP servers tailored for different workflows or client applications. * **Quickstart experience:** Prebuilt tools enable rapid experimentation and adoption of AI-driven automation. ## Next Steps ServiceNow customers interested in using MCP Server Console should explore configuration guides to create MCP servers, tools, and clients, as well as review reference documentation for advanced capabilities and integration best practices. 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. ## MCP Server Console overview {#exploring-mcp-server-console__cf-exploring-parent-overview} The Model Context Protocol defines a standard method of communication between large language models (LLMs) and external systems, such as a ServiceNow instance. AI applications connect to an external system from an MCP client, such as an AI agent, using an MCP server. The server tells the client which external resources it can access and how to access them. Then, from an MCP client, users can request information from the server and automate functionality using the available tools and data that the server returns. For general information about the Model Context Protocol and MCP terminology, see the [Model Context Protocol documentation](https://modelcontextprotocol.io/docs/learn/server-concepts) on the modelcontextprotocol.io website. With MCP Server Console, you can create MCP servers on an instance and configure the tools that they expose or use a preconfigured Quickstart Server. Tools define which functionality and data a server exposes to clients and the actions that can be performed on an instance by clients. You can create tools based on existing capabilities, such as AI skills. Then any AI application, such as Microsoft Copilot or Claude, can call a server from a client using OAuth 2.0 authentication and get a list of available tools. With these tools, employees using MCP clients can prompt the server for information from the instance or to perform an action on the instance, such as to summarize a list of recently closed incidents or cases. You can also use the ServiceNow Model Context Protocol Client to let an AI application on one instance access tools from an MCP server on another instance. Note: MCP Server Console currently has the following limitations: * Only stateless and remote servers are supported. * MCP resources and prompts aren't supported. * MCP Server Console supports the Streamable HTTP transport. By default, tool calls return a single JSON response. Server-Sent Events (SSE) are optionally available for streaming response types. Stdio is not supported. * The MCP rate limit is not configurable currently, and adjusting the rate limit requires a service restart. Contact your ServiceNow representative to learn more. {#exploring-mcp-server-console__ul_pqk_2fb_bkc} ## MCP Server Console users {#exploring-mcp-server-console__cf-exploring-parent-users} {#exploring-mcp-server-console__table_epw_sph_ggc__entry__2} | User | Description | |-|-| | AI administrator | AI administrators can create MCP servers and configure which tools they expose to MCP clients. They also create OAuth inbound integrations on the instance for each client and configure clients with the server and authentication details. | [ ] {#exploring-mcp-server-console__table_epw_sph_ggc} ## MCP Server Console workflow {#exploring-mcp-server-console__cf-exploring-parent-workflow} The following infographic shows the workflow for AI administrators to get started managing MCP servers with MCP Server Console. Figure 1. Managing MCP servers with MCP Server Console 1. As an AI administrator, you identify which functionality on an instance to access from an external MCP client and employee experience. 2. You can use the preconfigured Quickstart Server or create an MCP server with the appropriate tools to use the desired functionality.You can create one or more servers that expose different tools for different use cases, such as for HR or IT workflows, or for different clients. 3. If needed, you can create additional tools from AI skills and configure which fields are exposed to clients and then add the tools to servers. 4. You create OAuth inbound integrations for each client to secure access to servers on an instance. 5. You configure clients to connect to a server using the server and OAuth inbound integration details.Then the client calls the server, which validates the OAuth token and responds with the list of tools available for use with the server. 6. Employees use clients, such as AI agents, to prompt the server for data from the instance or to perform an action on the instance. {#exploring-mcp-server-console__cf-exploring-parent-workflow-ol} Note: With AI Gateway in AI Control Tower, AI administrators can monitor MCP server access and view metrics for servers and their tools. For more information, see [AI Gateway](https://www.servicenow.com/docs/UQNmGg9gzPelW3IUoh4eoQ "Explore the AI Gateway, its value and learn how to use and configure it for your MCP (Model context protocol) transactions."). ## MCP Server Console benefits {#exploring-mcp-server-console__cf-exploring-parent-benefits} {#exploring-mcp-server-console__table_hpw_sph_ggc__entry__3} | Benefit | Feature | Users | |-|-|-| | Integrate with any AI application and MCP client using a standard protocol. | [Create a Model Context Protocol server](https://www.servicenow.com/docs/rDabcPQm3xJMbjy6JGPQIQ "Create a Model Context Protocol (MCP) server and configure which tools it exposes to MCP clients.") | AI administrator | | Control which tools and fields are exposed to MCP clients. | [Creating tools for a Model Context Protocol server](https://www.servicenow.com/docs/QoiyYPvF0klqGYkpKOAFrw "You can create tools from various tool categories to expose ServiceNow capabilities to Model Context Protocol (MCP) clients from MCP servers.") | AI administrator | | Securely access functionality from a ServiceNow instance in any external employee experience. | [Configure an MCP client to connect to an MCP server](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.") | AI administrator | [ ] {#exploring-mcp-server-console__table_hpw_sph_ggc} ## Quickstart Server in MCP Server Console {#exploring-mcp-server-console__section_uhc_pw5_fhc} MCP Server Console includes a preconfigured Quickstart Server to help you get started learning about MCP servers and connecting MCP clients to a ServiceNow instance. The Quickstart Server includes tools for looking up and summarizing incident and case records, depending on the applications installed on your instance, such as ServiceNow Otto for CSM or ServiceNow Otto for ITSM. {#exploring-mcp-server-console__table_bhx_l5h_ggc__entry__2} | Name | Description | |-|-| | Case summarization | Get a summary of details in a case record generated by ServiceNow Otto. | | Incident summarization | Get a summary of details in an incident record generated by ServiceNow Otto. | | Look up Case Records | Look up case records to enable summarizing them with the Case Summarization tool. | | Look up Incident Records | Look up incident records to enable summarizing them with Incident summarization tool. | [Table 1. Quickstart Server tools] {#exploring-mcp-server-console__table_bhx_l5h_ggc} ## What to explore next {#exploring-mcp-server-console__cf-exploring-parent-links} To learn more about configuring and using MCP Server Console, see: * [Configuring MCP Server Console](https://www.servicenow.com/docs/TwC3J5YSCOnxUIshfXccsA "Create a Model Context Protocol (MCP) server and configure the tools and inputs it exposes to MCP clients.") * [Configure an MCP client to connect to an MCP server](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.") * [MCP Server Console reference](https://www.servicenow.com/docs/T5Esu4MWxG4IG_OHQlkJ0w "Reference topics include information about MCP Server Console roles, tables, and more.") {#exploring-mcp-server-console__ul_ipw_sph_ggc} **Related reference** * [Model Context Protocol Client](https://www.servicenow.com/docs/V0LjXxztkWn6~DCx7SKNGA "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.")