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 LangChain 5 tools — connect in under 2 minutes

Name: Adobe Analytics
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 5 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Adobe Analytics through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "adobe-analytics": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Adobe Analytics, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Adobe Analytics through native MCP adapters. Connect 5 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Adobe Analytics MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 5 tools from Adobe Analytics via MCP

Why Use LangChain with the Adobe Analytics MCP Server

LangChain provides unique advantages when paired with Adobe Analytics through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Adobe Analytics MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Adobe Analytics queries for multi-turn workflows

Adobe Analytics + LangChain Use Cases

Practical scenarios where LangChain combined with the Adobe Analytics MCP Server delivers measurable value.

RAG with live data: combine Adobe Analytics tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Adobe Analytics, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Adobe Analytics tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Adobe Analytics tool call, measure latency, and optimize your agent's performance

Adobe Analytics MCP Tools for LangChain (5)

These 5 tools become available when you connect Adobe Analytics to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Adobe Analytics + LangChain FAQ

Common questions about integrating Adobe Analytics MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.