Adobe Analytics MCP Server
Customer journey insights — retrieve reports, manage segments, and audit metrics via AI.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the Adobe Analytics MCP Server?
The Adobe Analytics MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Adobe Analytics via 5 tools. Customer journey insights — retrieve reports, manage segments, and audit metrics via AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (5)
Tools for your AI Agents to operate Adobe Analytics
Ask your AI agent "List all metrics available for report suite 'mycompany-prod'." and get the answer without opening a single dashboard. With 5 tools connected to real Adobe Analytics data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client


















Adobe Analytics MCP Server capabilities
5 toolsg. Page, Device Type) for a specific report suite ID. List dimensions for a report suite
List metrics for a report suite
0 JSON report request body. Retrieve an analytics report
List available report suites
List audience segments
What the Adobe Analytics MCP Server unlocks
Connect your Adobe Analytics account to your AI agent to unlock deep customer journey insights and real-time data orchestration. From retrieving complex reporting breakdowns to managing audience segments and auditing calculated metrics, your agent handles your enterprise analytics ecosystem through natural conversation.
What you can do
- Enterprise Reporting — Retrieve synchronous reports with nested breakdowns and complex filters directly from chat
- Component Discovery — List and audit all available metrics and dimensions for your specific report suites
- Segment Management — List and retrieve details for audience segments to ensure your data is always relevant
- Report Suite Oversight — Manage and list your report suites (collections) to maintain organizational control
- Real-time Performance — Quickly identify traffic trends and engagement patterns without manual dashboard configuration
How it works
1. Subscribe to this server
2. Enter your Adobe Client ID, Client Secret, and Global Company ID
3. Start managing your enterprise analytics and retrieving insights through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — automate report retrieval and technical metadata audits effortlessly
- Marketing Managers — monitor campaign performance and segment engagement on the fly
- Growth Leads — verify conversion trends and identification patterns across multiple report suites
- Product Owners — retrieve feature engagement data and user journey patterns using simple commands
Frequently asked questions about the Adobe Analytics MCP Server
Where do I find my Global Company ID?
The easiest way is to log in to the Adobe Developer Console and check your project settings. Alternatively, once you have an access token, the list_report_suites tool will return your authorized company metadata.
Are reports returned in real-time?
Yes. Unlike older versions of the API, the v2.0 Reporting API is synchronous and returns the data directly in the request response, making it perfect for AI interactions.
Does this support complex breakdowns?
Yes, the get_report tool accepts a JSON payload that supports the full range of Adobe Analytics v2.0 reporting features, including nested breakdowns and metric filters.
More in this category
You might also like
Connect Adobe Analytics with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Adobe Analytics MCP Server
Production-grade Adobe Analytics MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






