---
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


---

# Onboard MCP server approval playbook

# Onboard MCP server approval playbook {#ariaid-title1}

Release version: Brazil  
Updated September 10, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
The Onboard playbook tracks the MCP server through assessment, testing, and deployment.

## Before you begin

Role required: sn_ai_governance.ai_steward

## Procedure

1. Navigate to AllAI Control TowerHomeInventory and select an MCP server.
2. Access phase:
   1. Navigate to the Lifecycle tab and select Access.
   2. Select Create new task.
   3. Complete all tasks for this phase.
   4. Select Mark complete.
   {#aict-onboard-mcp-server-approval-playbook__substeps_axl_pq4_lkc}
3. Build and test phase:
   1. Select Build and test.
   2. Create and complete tasks for this phase.
   3. Select Mark complete.  
      Note:  
      When the MCP server approval enforcement is active on your instance, agents will not be able to connect to the server until the Deploy phase is complete and the server reaches Approved status.
   {#aict-onboard-mcp-server-approval-playbook__substeps_kzv_nq4_lkc}
4. Deploy phase:
   1. Select Deploy.
   2. Create and complete the remaining tasks.
   3. Reload the page.
   {#aict-onboard-mcp-server-approval-playbook__substeps_cmq_tq4_lkc}

## Result

The Onboard playbook status updates to Complete. The MCP server status updates to Deployed and Approved and managed status updates to Managed. The MCP server is now available for use in AI Agent Studio and fully configured for client registration.

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