Add an MCP server from AI Control Tower
Add an MCP server from AI Control Tower.
Before you begin
Role required: sn_ai_governance.ai_steward
Note: The AI Steward (sn_ai_governance.ai_steward) role gets inherited with the following roles:
- (AI admin) sn_aia.admin
- (AIG admin) aig_admin
- (MCP Client admin) sn_mcp_client.admin
For more information on the AI Steward role and its responsibilities, see AI Control Tower roles
Procedure
-
Navigate to AI assets > AI asset inventory > MCP servers.
-
Select Add.
-
Enter the Name (Server name).
-
Enter the MCP server URL.
-
Select Next.
-
Select the Client registration type.
Note: Selecting Dynamic client Registration, AI Control Tower automatically receives the Client ID and Client Secret. Selecting Manual registration, the client must be created externally on the MCP provider side while the client ID and secret must be entered manually.
-
Review all the other details such as Grant type, and Token authentication method.
Note: There are three sections for the URL:
- Authorization URL: Where the user authenticates and grants access token\
- Token URL: Where the system exchanges and authorization code for an access token
- Token revocation URL: Used to invalidate issued tokens if supported.
-
Select Submit.
Result
The newly added MCP server is registered in the AI asset inventory MCP servers list and available for approval workflow.
---
title: Add an MCP server from AI Control Tower
description: Add an MCP server from AI Control Tower.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/intelligent-experiences/ai-control-tower/add-an-mcp-server-via-ai-contol-tower.html
release: brazil
product: AI Control Tower
classification: ai-control-tower
topic_type: task
last_updated: "2026-09-10"
reading_time_minutes: 1
breadcrumb: [Process flow of MCP servers via AI Gateway, AI Gateway, Exploring AI Control Tower \(legacy\), AI Control Tower \(legacy\), Establishing AI governance, Enable AI Experiences]
---
# Add an MCP server from AI Control Tower
Add an MCP server from AI Control Tower.
## Before you begin
Role required: sn\_ai\_governance.ai\_steward
**Note:** The AI Steward \(sn\_ai\_governance.ai\_steward\) role gets inherited with the following roles:
- \(AI admin\) sn\_aia.admin
- \(AIG admin\) aig\_admin
- \(MCP Client admin\) sn\_mcp\_client.admin
For more information on the AI Steward role and its responsibilities, see [AI Control Tower roles](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/ai-control-tower/roles-installed-with-ai-control-tower.md)
## Procedure
1. Navigate to **AI assets** > **AI asset inventory** > **MCP servers**.
2. Select **Add**.
3. Enter the Name \(Server name\).
4. Enter the MCP server URL.
5. Select **Next**.
6. Select the Client registration type.
**Note:** Selecting Dynamic client Registration, AI Control Tower automatically receives the Client ID and Client Secret. Selecting Manual registration, the client must be created externally on the MCP provider side while the client ID and secret must be entered manually.
7. Review all the other details such as Grant type, and Token authentication method.
**Note:** There are three sections for the URL:
- Authorization URL: Where the user authenticates and grants access token\\
- Token URL: Where the system exchanges and authorization code for an access token
- Token revocation URL: Used to invalidate issued tokens if supported.
8. Select **Submit**.
## Result
The newly added MCP server is registered in the AI asset inventory MCP servers list and available for approval workflow.
| title | Add an MCP server from AI Control Tower |
| description | Add an MCP server from AI Control Tower. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/intelligent-experiences/ai-control-tower/add-an-mcp-server-via-ai-contol-tower.html |
| release | brazil |
| product | AI Control Tower |
| classification | ai-control-tower |
| topic_type | task |
| last_updated | 2026-09-10 |
| reading_time_minutes | 1 |
| breadcrumb | Process flow of MCP servers via AI GatewayAI GatewayExploring AI Control Tower \(legacy\)AI Control Tower \(legacy\)Establishing AI governanceEnable AI Experiences |