ThousandEyes MCP server AI agent
This AI agent investigates ThousandEyes tests by analyzing metrics, anomalies, network events, and outages. It returns probable causes and recommended next steps.
Workflow
-
Identify the test to investigate.
The agent uses a provided test name or ID, along with optional alert context such as severity and trigger time.
-
Retrieve the test configuration, metrics, anomalies, and related network events and outages from ThousandEyes.
-
Return the findings, including information such as probable causes and recommended next steps.
For more information about configuring this AI agent, see Configure observability agents for ServiceNow Otto.
|
Field |
Description |
|---|---|
|
Allow third party to access this AI agent |
When enabled, third-party AI agents can use this agent. This value is off (false) by default. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the External discoverable field. |
|
Allow AI specialists to access this AI agent |
When enabled, AI specialists can use this agent. This value is off (false) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the Specialist enabled field. |
|
Manage long-term memory |
When enabled, all previous user interactions are used as context for the LLM. This value is off (false) by default. This setting is defined by the sn_aia.ltm.enable_long_term_memory system property. For more information, see ServiceNow Otto AI agents reference. |
|
Tools |
Get Anomalies Get Event Details Get Metrics Get Path Visualization Get Test Details List Events List Tags List Tests Search Outages |
|
Allowed user roles The specific user roles that can access this AI agent. |
evt_mgmt_operator |
|
Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. |
evt_mgmt_operator |
|
Triggers |
Optional. None defined by default. An admin can specify triggers if desired. For more information, see Add a trigger to an AI agent. |
|
Channels |
Configure an assistant for Virtual Agent or ServiceNow Otto panel using Assistant Designer. |
|
Used in agentic workflows |
Parent Topic:IT Operations Management AI agents
---
title: ThousandEyes MCP server AI agent
description: This AI agent investigates ThousandEyes tests by analyzing metrics, anomalies, network events, and outages. It returns probable causes and recommended next steps.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/intelligent-experiences/itom-obs-thousandeyes-mcp-server-agent-ai-agent.html
release: brazil
topic_type: reference
last_updated: "2026-09-10"
reading_time_minutes: 2
breadcrumb: [IT Operations Management AI agents, IT Operations Management, AI agents library, AI agents and agentic workflows, Enable AI Experiences]
---
# ThousandEyes MCP server AI agent
This AI agent investigates ThousandEyes tests by analyzing metrics, anomalies, network events, and outages. It returns probable causes and recommended next steps.
## Workflow
1. Identify the test to investigate.
The agent uses a provided test name or ID, along with optional alert context such as severity and trigger time.
2. Retrieve the test configuration, metrics, anomalies, and related network events and outages from ThousandEyes.
3. Return the findings, including information such as probable causes and recommended next steps.
For more information about configuring this AI agent, see [Configure observability agents for ServiceNow Otto](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/configure-integration-agents-for-now-assist.md).
<table><thead><tr><th>
Field
</th><th>
Description
</th></tr></thead><tbody><tr><td>
Allow third party to access this AI agent
</td><td>
When enabled, third-party AI agents can use this agent. This value is off \(false\) by default. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the External discoverable field.
</td></tr><tr><td>
Allow AI specialists to access this AI agent
</td><td>
When enabled, AI specialists can use this agent. This value is off \(false\) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the Specialist enabled field.
</td></tr><tr><td>
Manage long-term memory
</td><td>
When enabled, all previous user interactions are used as context for the LLM. This value is off \(false\) by default. This setting is defined by the **sn\_aia.ltm.enable\_long\_term\_memory** system property. For more information, see [ServiceNow Otto AI agents reference](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/na-aia-reference.md).
</td></tr><tr><td>
Tools
</td><td>
- **Model Context Protocol tools**
Get Anomalies
Get Event Details
Get Metrics
Get Path Visualization
Get Test Details
List Events
List Tags
List Tests
Search Outages
</td></tr><tr><td>
Allowed user roles The specific user roles that can access this AI agent.
</td><td>
evt\_mgmt\_operator
</td></tr><tr><td>
Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take.
</td><td>
evt\_mgmt\_operator
</td></tr><tr><td>
Triggers
</td><td>
Optional. None defined by default. An admin can specify triggers if desired. For more information, see [Add a trigger to an AI agent](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/add-trigger-aia.md).
</td></tr><tr><td>
Channels
</td><td>
Configure an assistant for Virtual Agent or ServiceNow Otto panel using [Assistant Designer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/conversational-interfaces/configure-now-assist-va.md).
</td></tr><tr><td>
Used in agentic workflows
</td><td>
[Analyze alert impact agentic workflow](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/now-assist-itom-agentic-aia.md)
</td></tr></tbody>
</table>For more information, see [ITOM AIOps](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/itom-health-landing-page.md).
**Parent Topic:**[IT Operations Management AI agents](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/itom-ai-agents-overview.md)
| title | ThousandEyes MCP server AI agent |
| description | This AI agent investigates ThousandEyes tests by analyzing metrics, anomalies, network events, and outages. It returns probable causes and recommended next steps. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/intelligent-experiences/itom-obs-thousandeyes-mcp-server-agent-ai-agent.html |
| release | brazil |
| topic_type | reference |
| last_updated | 2026-09-10 |
| reading_time_minutes | 2 |
| breadcrumb | IT Operations Management AI agentsIT Operations ManagementAI agents libraryAI agents and agentic workflowsEnable AI Experiences |