How do I find my Marketo credentials?

Go to Marketo Admin > LaunchPoint to find your Client ID and Secret. Your Munchkin ID is under Admin > Munchkin.

Can I search for leads by email?

Yes! Use the `get_lead_by_email` tool to find specific leads using their email address.

Is the integration secure?

Your credentials are encrypted at rest and injected securely at runtime.

Marketo MCP Server for AutoGen 11 tools — connect in under 2 minutes

Name: Marketo
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 11 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Marketo as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="marketo_agent",
            tools=tools,
            system_message=(
                "You help users with Marketo. "
                "11 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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 Marketo MCP Server

Connect your Marketo account to any AI agent and take full control of your marketing automation through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Marketo tools. Connect 11 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Lead Management — Fetch lead details by ID or email and list leads from static lists
Campaigns — List and inspect marketing campaigns and smart campaigns
Asset Management — Query programs and other marketing assets
Activity Tracking — List recent activities for specific leads

The Marketo MCP Server exposes 11 tools through the Vinkius. Connect it to AutoGen 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 Marketo to AutoGen via MCP

Follow these steps to integrate the Marketo MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 11 tools from Marketo automatically

Why Use AutoGen with the Marketo MCP Server

AutoGen provides unique advantages when paired with Marketo through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Marketo tools to solve complex tasks

Role-based architecture lets you assign Marketo tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Marketo tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Marketo tool responses in an isolated environment

Marketo + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Marketo MCP Server delivers measurable value.

Collaborative analysis: one agent queries Marketo while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Marketo, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Marketo data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Marketo responses in a sandboxed execution environment

Marketo MCP Tools for AutoGen (11)

These 11 tools become available when you connect Marketo to AutoGen via MCP:

get_campaign_by_id

Get campaign details by ID

get_lead_by_email

Get lead details by email

get_lead_by_id

Get lead details by ID

get_program_by_id

Get program details by ID

get_smart_campaign_by_id

Get smart campaign details by ID

list_activities

List lead activities

list_campaigns

List all campaigns

list_leads_by_list

List leads in a static list

list_programs

List all programs

list_smart_campaigns

List all smart campaigns

list_static_lists

List static lists

Example Prompts for Marketo in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Marketo immediately.

"Get lead details for test@example.com."

"List all active campaigns."

"Show recent activities for lead ID 12345."

Troubleshooting Marketo MCP Server with AutoGen

Common issues when connecting Marketo to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Marketo + AutoGen FAQ

Common questions about integrating Marketo MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Marketo tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.