How to Use the Marketo MCP in LlamaIndex

Q: How do I load Marketo tools into LlamaIndex?

Install llama-index-tools-mcp. Initialize a BasicMCPClient with your Vinkius URL, wrap it in an McpToolSpec, and pass the async tool list to your FunctionAgent.

Q: Can LlamaIndex search across multiple Marketo static lists?

Yes. You can write a routine that loops through liststaticlists, pulls the members with listleadsbylist, and indexes the combined results for semantic search.

Q: What happens when Marketo campaign data changes?

You need to re-index. The server fetches current data via getcampaignbyid at the moment of execution. If the campaign changes later, your vector store will hold stale data until the next run.

Q: Does LlamaIndex support filtering which Marketo tools are active?

Yes. You can use the allowedtools parameter to restrict the agent. For example, you might only expose listprograms and block lead-level access.

Index your leads into searchable LlamaIndex knowledge bases using the Marketo MCP Server.

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Connect Marketo MCP to LlamaIndex

Create your Vinkius account to connect Marketo to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Marketo with LlamaIndex

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Index lead histories for semantic search

Stop guessing why a prospect churned. You can use LlamaIndex to pull their entire engagement history via `list_activities` and embed it into a vector store. Now your sales team can ask plain English questions about past interactions. The agent retrieves the raw data, including specific emails sent, using `get_lead_by_email`. It stores these records as queryable nodes. When an account executive preps for a call, they query the index instead of digging through the marketing platform.

Query Marketo MCP Server campaign data

Marketing managers lose track of active campaigns constantly. Point your indexer at `list_campaigns` and `list_smart_campaigns` to build a live directory of your marketing efforts. The system ingests the names, IDs, and descriptions. When someone asks what campaigns are running for Q3, the RAG application searches the embedded campaign data. It pulls the exact details using `get_smart_campaign_by_id` and returns an accurate answer based on real API responses.

Ground answers in program metrics

Hallucinations ruin marketing reports. By connecting this server, your agent pulls actual program structures using `list_programs` and `get_program_by_id`. The answers it generates rely strictly on the fetched JSON. You can also audit your static lists. The indexer calls `list_static_lists` and `list_leads_by_list` to map out exactly who sits in which bucket. Your team queries the resulting index to find audience overlaps without writing SQL.

Setup guide

Set up Marketo MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Marketo MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Marketo tools.",
)
response = await agent.run("List recent Marketo data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Marketo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Marketo MCP in LlamaIndex

Install `llama-index-tools-mcp`. Initialize a `BasicMCPClient` with your Vinkius URL, wrap it in an `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.

Yes. You can write a routine that loops through `list_static_lists`, pulls the members with `list_leads_by_list`, and indexes the combined results for semantic search.

You need to re-index. The server fetches current data via `get_campaign_by_id` at the moment of execution. If the campaign changes later, your vector store will hold stale data until the next run.

Yes. You can use the `allowed_tools` parameter to restrict the agent. For example, you might only expose `list_programs` and block lead-level access.

Vinkius handles the MCP connection via ephemeral containers. When your script pulls campaign descriptions using `get_smart_campaign_by_id`, the server processes the request and instantly drops the connection while your vector store handles long-term storage.

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