How do I add a new subscriber to a specific segment using the agent?

You can use the 'add_to_segment' tool. Provide the subscriber's email or ID and the specific Segment ID. The agent will immediately associate the contact with that segment in your Flodesk account.

Can I trigger an automated email sequence for a user?

Yes! The 'trigger_workflow' tool allows you to start a subscriber on any of your active Flodesk workflows. Simply provide the Workflow ID and the subscriber's email address.

How do I check if a contact is active or unsubscribed?

Use the 'get_subscriber' tool and provide the contact's email address. The agent will retrieve the profile details, including their current status (e.g., 'active', 'unsubscribed', or 'bounced').

Flodesk MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Flodesk
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Flodesk through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Flodesk "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Flodesk?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Flodesk MCP Server

Connect your Flodesk account to any AI agent and automate your email marketing and audience management through the Model Context Protocol (MCP). Flodesk is designed for creators and businesses that want to build stunning emails and automate their sales funnels with ease. Now, you can manage your subscribers, organize your segments, and trigger automated workflows directly through natural conversation.

Pydantic AI validates every Flodesk tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Subscriber Management — List all email subscribers, fetch detailed profile data, and create or update subscriber records instantly.
Audience Segmentation — Access and list your segments, and add subscribers to specific groups to ensure targeted messaging.
Workflow Automation — List your automated email sequences and trigger specific workflows for new or existing subscribers.
Opt-out Handling — Unsubscribe users directly through the agent to maintain a clean and compliant mailing list.
Custom Data Fields — List and create custom subscriber fields to store specific metadata (e.g., interests, purchase history).
Form Oversight — Retrieve a list of all your opt-in forms to monitor where your audience is coming from.
Account Insights — Fetch your Flodesk account metadata to ensure your agent has the correct context for your branding.

The Flodesk MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI 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 Flodesk to Pydantic AI via MCP

Follow these steps to integrate the Flodesk MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 12 tools from Flodesk with type-safe schemas

Why Use Pydantic AI with the Flodesk MCP Server

Pydantic AI provides unique advantages when paired with Flodesk through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Flodesk integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Flodesk connection logic from agent behavior for testable, maintainable code

Flodesk + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Flodesk MCP Server delivers measurable value.

Type-safe data pipelines: query Flodesk with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Flodesk tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Flodesk and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Flodesk responses and write comprehensive agent tests

Flodesk MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Flodesk to Pydantic AI via MCP:

add_to_segment

Add subscriber to segment

create_custom_field

Create custom field

create_subscriber

Add a subscriber

get_account_details

Get account info

get_subscriber

Get subscriber details

list_custom_fields

List custom subscriber fields

list_forms

List opt-in forms

list_segments

List segments

list_subscribers

List email subscribers

list_workflows

List automation workflows

trigger_workflow

Start workflow for user

unsubscribe_subscriber

Unsubscribe a user

Example Prompts for Flodesk in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Flodesk immediately.

"List my 10 most recent email subscribers."

"Add 'hello@newlead.com' to my 'Welcome' segment and trigger the 'Onboarding' workflow."

"Show me all my active automation workflows."

Troubleshooting Flodesk MCP Server with Pydantic AI

Common issues when connecting Flodesk to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Flodesk + Pydantic AI FAQ

Common questions about integrating Flodesk MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Flodesk MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.