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 Pydantic AI 11 tools — connect in under 2 minutes

Name: Marketo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Marketo through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Marketo "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Marketo?"
    )
    print(result.data)

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 Marketo MCP Server

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

Pydantic AI validates every Marketo tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Marketo MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 11 tools from Marketo with type-safe schemas

Why Use Pydantic AI with the Marketo MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Marketo integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Marketo connection logic from agent behavior for testable, maintainable code

Marketo + Pydantic AI Use Cases

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

Type-safe data pipelines: query Marketo with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Marketo tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Marketo and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Marketo responses and write comprehensive agent tests

Marketo MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Marketo to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Marketo + Pydantic AI FAQ

Common questions about integrating Marketo MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Marketo MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.