How to Use the Freshmarketer MCP in LlamaIndex

Q: Does LlamaIndex support real-time Freshmarketer updates?

It does. You can trigger a re-index after calling upsertcontact to ensure your agent always has the latest user information available for its queries.

Index your Freshmarketer data into LlamaIndex to build RAG apps that answer questions based on your live marketing metrics.

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Connect Freshmarketer MCP to LlamaIndex

Create your Vinkius account to connect Freshmarketer 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 Freshmarketer with LlamaIndex

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Build a searchable marketing base

LlamaIndex turns the output of `list_contacts` and `list_journeys` into vector embeddings. You don't just fetch data; you make it queryable for your AI. This lets your agent answer questions about campaign performance by looking at historical data indexed directly from your account.

Ground your agent in real data

Connect this MCP Server to your LlamaIndex workflow to stop hallucinations. When you ask about specific mailing lists, the agent queries the index created from `list_mailing_lists`. It ensures your agent’s decisions are based on the current state of your account. You get answers that reflect your actual marketing infrastructure.

Filter and refine tool access

Use `allowed_tools` to restrict which Freshmarketer operations your agent can perform. You keep tight control over who can trigger `send_transactional_email`. It’s a clean way to separate read-only data analysis from sensitive write operations. Your agent only sees what you let it index.

Setup guide

Set up Freshmarketer 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 Freshmarketer 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 Freshmarketer tools.",
)
response = await agent.run("List recent Freshmarketer 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 Freshmarketer. 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 Freshmarketer MCP in LlamaIndex

You use the MCP client to pull live data, which LlamaIndex then converts into a searchable vector index. This allows your agent to reason over your marketing history.

You can. Once indexed, your agent can perform semantic searches across your lists to find the right segment for a campaign.

Data is processed locally within your vector store. You control the scope of the information indexed, ensuring only relevant marketing metadata is stored.

It does. You can trigger a re-index after calling `upsert_contact` to ensure your agent always has the latest user information available for its queries.

The server uses token-based authentication to lock down access. Sensitive contact fields are only accessed via authorized tool calls, preventing unauthorized data exposure.

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