How to Use the Flodesk MCP in LlamaIndex

Q: Does LlamaIndex support Flodesk segments?

It does. By using listsegments, your agent fetches current list data and adds it to your searchable index. This allows for quick queries about your audience structure.

Q: Can I query my Flodesk subscribers with LlamaIndex?

You can. After the agent calls listsubscribers, the data is stored in your vector store. You then perform semantic searches to find specific subscriber groups.

Index your Flodesk subscriber data into LlamaIndex for RAG-powered email marketing and smarter list insights.

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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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RAG-ready Flodesk subscriber data

Query your subscriber base by using `list_subscribers` to feed your knowledge base. LlamaIndex turns this raw data into searchable vectors for your agent. This gives your agent context on who is on your list. It can answer questions about subscriber attributes by looking at the indexed results.

Index Flodesk segments in LlamaIndex

Map your audience by indexing output from `list_segments` and `get_segment`. You gain a searchable map of your email lists for better targeting. Your agent builds a semantic understanding of your segments. It can suggest which list to target based on the query, pulling from live data.

Search custom fields in LlamaIndex

Retrieve subscriber metadata using `list_custom_fields` and index it for deep analysis. Your agent understands the unique data points you track for your audience. This turns your subscriber profile into searchable knowledge. You query the index to find patterns across your custom email data.

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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Common questions about Flodesk MCP in LlamaIndex

You use the BasicMCPClient to connect to the server and pass the tool spec to your agent. The agent then pulls the subscriber data and indexes it for your RAG pipeline.

It does. By using `list_segments`, your agent fetches current list data and adds it to your searchable index. This allows for quick queries about your audience structure.

You can. After the agent calls `list_subscribers`, the data is stored in your vector store. You then perform semantic searches to find specific subscriber groups.

Security is handled via isolated sandbox environments. Only your authenticated client can request subscriber details, keeping your data shielded from unauthorized access.

It can. While you use LlamaIndex for search, you also have access to `upsert_subscriber`. The agent modifies your records based on the insights it finds in your index.

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