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.

Adobe Analytics MCP Server for VS Code Copilot 5 tools — connect in under 2 minutes

Name: Adobe Analytics
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 5 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Adobe Analytics and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "adobe-analytics": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About Adobe Analytics MCP Server

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.

GitHub Copilot Agent mode brings Adobe Analytics data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 5 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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

The Adobe Analytics MCP Server exposes 5 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Adobe Analytics to VS Code Copilot via MCP

Follow these steps to integrate the Adobe Analytics MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Adobe Analytics

Ask Copilot: "Using Adobe Analytics, help me..." — 5 tools available

Why Use VS Code Copilot with the Adobe Analytics MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Adobe Analytics through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Adobe Analytics + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Adobe Analytics MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Adobe Analytics MCP Tools for VS Code Copilot (5)

These 5 tools become available when you connect Adobe Analytics to VS Code Copilot via MCP:

get_dimensions

g. Page, Device Type) for a specific report suite ID. List dimensions for a report suite

get_metrics

List metrics for a report suite

get_report

0 JSON report request body. Retrieve an analytics report

list_report_suites

List available report suites

list_segments

List audience segments

Example Prompts for Adobe Analytics in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Adobe Analytics immediately.

"List all metrics available for report suite 'mycompany-prod'."

"Show me the top 5 pages by visits for yesterday."

"List all active segments in my Adobe Analytics account."

Troubleshooting Adobe Analytics MCP Server with VS Code Copilot

Common issues when connecting Adobe Analytics to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Adobe Analytics + VS Code Copilot FAQ

Common questions about integrating Adobe Analytics MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.