---
sourceDocument: Yokohama Enable AI
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/intelligent-experiences

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# MCP Server Console

# MCP Server Console {#ariaid-title1}

Release version: Yokohama  
Updated August 8, 2025  
![](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 MCP Server Console

The MCP Server Console enables secure access to ServiceNow functionalities for AI applications using Model Context Protocol (MCP) servers.
These servers facilitate the integration of ServiceNow AI Platform® capabilities with external MCP clients and enhance employee experiences through the Model Context Protocol.
Show full answer Show less  

## Key Features

* **Explore:** Understand the MCP Server Console and its functionalities.
* **Configure:** Create and set up an MCP server and its associated tools.
* **Connect:** Establish connections between MCP servers and MCP clients.

## Key Outcomes

Using the MCP Server Console allows customers to leverage AI capabilities in their ServiceNow instances while ensuring data is managed according to ServiceNow's compliance policies. Customers must evaluate AI outputs for accuracy and appropriateness, especially in critical sectors such as healthcare and finance. Data processing may involve transferring information to centralized ServiceNow environments or third-party providers, and customers can opt out of data collection as per their preferences.  
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.

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://servicenow-prod.fluidtopics.net/BAM3q4XVPSc5Q0UTkmbdbg "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://servicenow-prod.fluidtopics.net/77Hbc4tluhiNVmF3Sl05Kg "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://servicenow-prod.fluidtopics.net/znFgA8jtoUBUx5e_tj~Lrg#configure-client-connect-server "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://servicenow-prod.fluidtopics.net/B17SJitOEE4ST6XvrIuA7w "Reference topics include information about MCP Server Console roles, tables, and more.") |
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## 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 [Now Assist Opt-Out page](https://servicenow-prod.fluidtopics.net/Q15NLT0qXVlMQ5LCB8IgOg "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 [Now Assist documentation](https://servicenow-prod.fluidtopics.net/8wxPonMX71R35jOlMHGsrg "ServiceNow Now Assist uses generative AI that is designed to enhance user productivity and efficiency through conversation and proactive experiences.").{#mcp-server-console-landing__p_pv2_nfg_h1c}