GitScrum/MCP Partner Directory/Adobe Analytics MCP

Official Vinkius Partner Grade A+ · 5 tools

Adobe Analytics MCP + Claude: Generate deep customer journey insights.

Stop hopping between dashboards and spreadsheets. When Claude uses this Adobe Analytics MCP, you delegate complex reporting tasks—like auditing specific metrics or listing audience segments—directly into your GitScrum workflow. You get accurate, actionable data without ever leaving the board.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

Start automating data audits in GitScrum Get Adobe Analytics MCP on Vinkius →

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workflow

task.delegate()

Create a task. Delegate to Claude. Get the result on your board.

Create a task in GitScrum

You create a ticket and prompt Claude, specifying exactly what metrics or segments you need analyzed for the current sprint goal. Example: 'Find all dimensions related to mobile device usage.'

Claude runs the Adobe Analytics MCP

Claude autonomously calls the necessary tools within this MCP, retrieving real-time data on report suites or segment definitions from your connected Adobe account.

Outcome lands in your GitScrum board

The structured, filtered reports—whether they detail traffic trends or list available metrics—land back into the ticket comments, allowing you to update status and close the loop.

templates

task.create()

Adobe Analytics MCP + Claude: 3 templates for managing your reporting workflow

Copy. Paste into a Claude-aware GitScrum task. Done.

Sprint wikitemplate1

Audit all available report suites for a new feature

The development team just launched a major feature, and I need to know what reporting data exists around it.

Claude prompt

Claude, using the Adobe Analytics MCP, list every existing Report Suite that might contain metrics related to 'feature X.' Then, for the top three results, use the get_metrics tool to show me all available dimensions. Make sure this summary is formatted as a Markdown table inside our GitScrum ticket.

Backlogtemplate2

Analyze conversion trends by device type

The marketing team reports that mobile conversions are dropping, and I need immediate data to validate the concern.

Claude prompt

I need Claude to generate a report showing conversion rates segmented specifically for 'mobile' vs. 'desktop' devices. Please use the get_report tool with nested breakdowns including device type and session path. Summarize the findings as an executive summary for our Product Owner.

Client portaltemplate3

List all active audience segments for QA review

Before launching a new campaign, I must verify that the target audience segments are current and accurately defined in Adobe Analytics.

Claude prompt

Claude, use the list_segments tool to pull a full list of all currently active audience segments. For each segment name returned, please also provide a brief description so we can confirm they haven't been deprecated or changed since our last review.

01 · workflow

Adobe Analytics + Claude: Auditing Metrics and Dimensions from Your Project Backlog

Manually auditing an enterprise analytics setup is brutal. You spend hours jumping between different dashboards, downloading CSVs, and cross-referencing metrics to ensure you're looking at the right data point—all before a sprint even starts. It’s slow, error-prone work that kills momentum.

With Claude calling this Adobe Analytics MCP, that process ends. You define your need in GitScrum, and Claude handles the complex metadata discovery. Whether it's listing every dimension or checking if a metric exists across multiple report suites, you get the technical audit data instantly, keeping your development backlog clean.

Open this workflow in GitScrum →

02 · outcome

Adobe Analytics + Claude: Analyzing Campaign Performance in Your Project Tickets

Monitoring campaign performance used to mean scheduling a meeting and asking someone else to pull the numbers. You’d get fragmented data—one chat for device metrics, another file for segment definitions—requiring painful manual synthesis before you could make any decision.

Now, Claude handles the orchestration. Give it a prompt in GitScrum detailing the performance gap you found, and let this MCP retrieve the full picture, combining segmented audience details with real-time traffic breakdowns. You don't just get data; you get immediate project clarity.

prompts

claude.ask()

Claude prompts that fire once Adobe Analytics MCP is live

I need to understand the user journey patterns. Claude, use this Adobe Analytics MCP to list all available dimensions for a specific report suite ID so I can build out my required metrics.

Claude, check our reporting setup. Use the tools in the Adobe Analytics MCP to confirm if we have already created a dedicated Report Suite for 'onboarding flow' and provide a quick status summary.

Can Claude list all potential audience segments that are defined right now? I need to see everything available before planning next quarter’s campaign scope.

Claude, what are the top 5 metrics we track in our current report suites? Please use the MCP tools to pull this information and structure it for a standup meeting.

specs

tools.list()

What Claude can call on Adobe Analytics MCP: 5 tools for data auditing

Each tool is one operation Claude runs on your behalf.

tool_name	operation
list_report_suites	Claude can list all the defined report suites within your Adobe Analytics account, giving you an overview of your existing reporting collections.
get_metrics	This function allows Claude to retrieve a comprehensive list of metrics and dimensions available for a specific report suite ID, which is crucial for planning reports.
get_dimensions	Claude uses this tool to pull all the available descriptive fields (like page or device type) associated with a given Adobe Analytics report suite ID.
get_report	This is where Claude sends a structured request body to retrieve an actual, formatted analytics report based on complex filtering rules you provide.
list_segments	Claude uses this tool to list all defined audience segments in your account, helping you verify if the target groups for your project are still relevant.

grade

A+

tools

auth

Required

catalog

Vinkius

faq

faq.read()

Adobe Analytics + Claude, answered for GitScrum users

How does the Adobe Analytics MCP connect with Claude and GitScrum for project reporting?

The connection happens entirely through the MCP standard. You define the need in your GitScrum ticket, triggering Claude to use this specialized Adobe Analytics MCP. Claude then retrieves the raw data necessary (like metrics or segments) and presents it formatted within your workflow.

Is this functionality limited only to the Claude Desktop client?

No, this power is available across all major platforms. As long as your AI agent—whether you use Cursor, ChatGPT, or Gemini—is MCP-compatible, it can access and utilize this Adobe Analytics MCP within GitScrum.

What level of detail can Claude retrieve using the MCP for our segment management?

Claude can pull deep structural details. You can prompt it to list all available audience segments, get their definitions, and even use that data to audit if they meet your current project requirements within GitScrum.

Is the Adobe Analytics MCP secure enough for sensitive client data in GitScrum?

The MCP is built using industry-standard protocols. When Claude accesses the data, it operates with controlled permissions defined by your account credentials, ensuring that only necessary report details land back in your project tickets.