How to Use the Flodesk MCP in LlamaIndex

Q: How do I index Flodesk subscriber data into LlamaIndex?

Use the MCP tool spec to pull data from listsubscribers and load the text chunks into a vector index. This lets you run semantic queries across your entire subscriber base.

Q: Can I query my Flodesk segments using LlamaIndex?

Yes. The agent can call listsegments to retrieve your active lists, index the metadata, and help you find the right target group for your next campaign.

Q: Does the LlamaIndex agent support custom fields in Flodesk?

Yes. The agent can use listcustomfields to find existing parameters, then map retrieved document context directly to those custom fields on subscriber profiles.

Index your Flodesk audience data into LlamaIndex to query subscribers and segments using real-time semantic search.

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Connect Flodesk MCP to LlamaIndex

Create your Vinkius account to connect Flodesk 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 Flodesk with LlamaIndex

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LlamaIndex semantic search over lists

Index output from `list_subscribers` and `list_segments` directly into a vector store to turn your email audience into a queryable knowledge base. This LlamaIndex MCP server integration lets your agent query your list using natural language instead of writing complex database filters. Ask your agent which segments are growing fastest or who your most active subscribers are. The agent fetches live data using `get_subscriber` to ground its answers. You get accurate, real-time insights based on actual Flodesk records.

Context-aware workflow automation

Call `trigger_workflow` to kick off the right email sequence based on retrieved context. Your LlamaIndex agent can search your internal documentation and match it with subscriber profiles. This prevents sending generic, irrelevant emails. The agent checks existing user data via `get_account_details` and custom fields before acting. It ensures every automated message fits the subscriber's current journey.

Automated custom field mapping

Use `create_custom_field` to store key preferences extracted from customer support logs. The agent reads incoming customer support logs, extracts key preferences, and updates the subscriber record using `create_subscriber`. You don't have to manually sync data between your docs and your email tool. LlamaIndex bridges the gap using this MCP connection. It maps unstructured text to structured Flodesk fields, keeping your targeting sharp.

Setup guide

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

Use the MCP tool spec to pull data from `list_subscribers` and load the text chunks into a vector index. This lets you run semantic queries across your entire subscriber base.

Yes. The agent can call `list_segments` to retrieve your active lists, index the metadata, and help you find the right target group for your next campaign.

Yes. The agent can use `list_custom_fields` to find existing parameters, then map retrieved document context directly to those custom fields on subscriber profiles.

Your agent can search your index, identify the target subscribers, and call `trigger_workflow` to start the appropriate automated email sequence for them.

All subscriber profiles and custom field values are processed in memory within Vinkius's zero-trust MCP sandbox. Your marketing data is never used for model training and remains strictly inside your private execution loop.

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