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Adobe Target MCP server — use cases and walkthroughs target-mcp-use-cases
This page shows you what you can accomplish with the Adobe Target MCP server using natural-language prompts, from quick lookups to multi-step analysis and reporting tasks.
Use cases mcp-use-cases
The following examples show how to interact with the Adobe Target MCP server using natural language:
| Implementation audit | “What version of at.js is configured, and what response tokens are currently active?” |
| Change audit | “Show me all changes made to activity 98765 in the last 30 days and who made them.” |
| Create an A/B test | “Create an A/B test called ‘Homepage Hero Image Test’ with two experiences: ‘Control’ and ‘Variant’ targeting the homepage-hero mbox.” |
| Create an offer | “Create an HTML offer called ‘Summer Sale Banner’ with a ‘20% off all summer items’ promotional banner.” |
| Build an audience | “Create an audience called ‘Mobile Visitors from California’ targeting mobile users in CA.” |
| Create an XT activity | “Create an Experience Targeting activity called ‘Geo Personalization’ that shows different hero banners to visitors from different regions.” |
| Schedule an activity | “Update the schedule for activity 12345 to start on June 1st and end on June 30th.” |
| Activate or pause | “Activate activity 12345” or “Pause the Homepage Hero Test.” |
| Update traffic split | “Change the traffic split for activity 12345 to 70% Control and 30% Variant A.” |
| Add a variant | “Add a new variant called ‘Holiday Theme’ to A/B activity 12345 using offer 67890.” |
Use case walkthroughs mcp-use-case-walkthroughs
The following walkthroughs show how to complete common tasks using natural-language prompts with the Adobe Target MCP server.
Prompt:
“Create an A/B test called ‘Homepage Hero Image Test’ with two experiences: ‘Control’ showing the current hero and ‘Variant’ showing a new summer-themed hero image. Target the homepage mbox.”
The AI assistant uses the create_ab_activity tool to create the activity with the configuration you described. The tool returns the new activity ID and a confirmation of the created experiences.
Prompt:
“Show me the performance metrics for my ‘Checkout Flow Optimization’ activity over the last 30 days.”
The AI assistant uses get_ab_performance_report or get_xt_performance_report (depending on activity type) to retrieve conversion rates, visitor counts, and other metrics for the specified time window.
Prompt:
“Create an HTML offer called ‘Summer Sale Banner’ with a promotional banner that says ‘20% off all summer items’.”
The AI assistant uses the create_target_offer tool to create the offer with your specified HTML content and returns a confirmation with the new offer ID.
Prompt:
“Create an audience called ‘Mobile Visitors from California’ that targets users on mobile devices located in California.”
The AI assistant uses the create_target_audience tool with the appropriate targeting rules derived from your description.
Prompt:
“Generate preview URLs for activity 12345 so I can test each experience.”
The AI assistant uses the preview_activity tool to generate clickable URLs that bypass audience targeting, letting you view each experience directly in your browser.
Prompt:
“Create an Experience Targeting activity called ‘Geo Personalization’ that shows different hero banners to visitors from different regions.”
The AI assistant uses create_xt_activity to build the activity with audience-based experience mapping according to the regions you describe.
Prompt:
“Update the schedule for activity 12345 to start on May 1st and end on May 31st.”
The AI assistant uses the update_activity_schedule tool to apply the new start and end dates to the activity.