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Adobe Target MCP server target-mcp
The Adobe Target MCP integration lets you inspect and analyze A/B tests, personalization activities, and Recommendations criteria directly from your AI assistant. Turn Target’s experimentation and personalization data into plain-language workflows — audit your experiment portfolio, review performance reports, and explore audiences and offers without navigating the UI or writing API calls.
What is the Model Context Protocol? mcp-overview
Marketing and optimization teams increasingly rely on chat-based applications and developer tools — such as Anthropic Claude, OpenAI ChatGPT, Cursor, and Microsoft Copilot Studio — to streamline their day-to-day work. These applications support the Model Context Protocol (MCP), an open standard that lets applications expose back-end tools to large language models (LLMs) in a uniform way.
Adobe Target now provides an MCP server that surfaces experimentation, personalization, and recommendations operations directly inside any MCP-compatible application. Adobe Target acts as the decisioning and execution layer while the AI assistant handles reasoning and explanation — giving teams faster access to optimization insights without navigating multiple product screens or writing queries against the Adobe Target REST API.
Key capabilities mcp-capabilities
The Adobe Target MCP server provides read access to activities, audiences, offers, recommendations, and implementation configuration. With the integration, you can:
- Inspect and audit experiments - Get status, performance, change history, and QA preview links for any activity without navigating the UI.
- Analyze results - Retrieve performance, revenue, and A4T reports for A/B, XT, AP, and Auto-Target activities.
- Explore activities - List, inspect, and analyze A/B and XT activities.
- Explore audiences and offers - List and inspect audiences, HTML offers, and JSON offers.
- Explore Recommendations criteria - List and inspect criteria and cart-based algorithms.
- Audit implementation - Review at.js settings, response tokens, and per-entity revision history.
The Adobe Target MCP server exposes 23 read-only tools across 10 categories — from activity inspection and reporting to audience exploration and QA previews. For the complete parameter reference, see MCP server tools reference.
To explore what you can do with the Adobe Target MCP server — including step-by-step prompt walkthroughs — see Use cases and walkthroughs.
To connect the Adobe Target MCP server to your AI assistant — including prerequisites, client-specific configuration, and troubleshooting — see Get started.
Frequently asked questions mcp-faq
list_target_properties tool and filter subsequent requests accordingly.