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Adobe Analytics MCP Server for OpenAI Agents SDK 5 tools — connect in under 2 minutes

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Adobe Analytics through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Adobe Analytics Assistant",
            instructions=(
                "You help users interact with Adobe Analytics. "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Adobe Analytics"
        )
        print(result.final_output)

asyncio.run(main())
Adobe Analytics
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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.

The OpenAI Agents SDK auto-discovers all 5 tools from Adobe Analytics through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Adobe Analytics, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Adobe Analytics MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 5 tools from Adobe Analytics

Why Use OpenAI Agents SDK with the Adobe Analytics MCP Server

OpenAI Agents SDK provides unique advantages when paired with Adobe Analytics through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Adobe Analytics + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Adobe Analytics MCP Server delivers measurable value.

01

Automated workflows: build agents that query Adobe Analytics, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries Adobe Analytics, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Adobe Analytics tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Adobe Analytics to resolve tickets, look up records, and update statuses without human intervention

Adobe Analytics MCP Tools for OpenAI Agents SDK (5)

These 5 tools become available when you connect Adobe Analytics to OpenAI Agents SDK via MCP:

01

get_dimensions

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

02

get_metrics

List metrics for a report suite

03

get_report

0 JSON report request body. Retrieve an analytics report

04

list_report_suites

List available report suites

05

list_segments

List audience segments

Example Prompts for Adobe Analytics in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Adobe Analytics immediately.

01

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

02

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

03

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

Troubleshooting Adobe Analytics MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Adobe Analytics + OpenAI Agents SDK FAQ

Common questions about integrating Adobe Analytics MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect Adobe Analytics to OpenAI Agents SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.