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 LangChain 11 tools — connect in under 2 minutes

Name: Marketo
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Marketo 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({
        "marketo": {
            "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 Marketo, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Marketo MCP Server

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

LangChain's ecosystem of 500+ components combines seamlessly with Marketo through native MCP adapters. Connect 11 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

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 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 Marketo to LangChain via MCP

Follow these steps to integrate the Marketo 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 11 tools from Marketo via MCP

Why Use LangChain with the Marketo MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine Marketo 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 Marketo queries for multi-turn workflows

Marketo + LangChain Use Cases

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

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

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

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

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

Marketo MCP Tools for LangChain (11)

These 11 tools become available when you connect Marketo to LangChain 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 LangChain

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Marketo + LangChain FAQ

Common questions about integrating Marketo 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.