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 LlamaIndex 11 tools — connect in under 2 minutes

Name: Marketo
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Marketo as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Marketo. "
            "You have 11 tools available."
        ),
    )

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

asyncio.run(main())

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About Marketo MCP Server

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

LlamaIndex agents combine Marketo tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Marketo MCP Server

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

Data-first architecture: LlamaIndex agents combine Marketo tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Marketo tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Marketo, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Marketo tools were called, what data was returned, and how it influenced the final answer

Marketo + LlamaIndex Use Cases

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

Hybrid search: combine Marketo real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Marketo to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Marketo for fresh data

Analytical workflows: chain Marketo queries with LlamaIndex's data connectors to build multi-source analytical reports

Marketo MCP Tools for LlamaIndex (11)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Marketo + LlamaIndex FAQ

Common questions about integrating Marketo MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Marketo tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.