How to Use the Flodesk MCP in Pydantic AI

Q: How do I configure the Flodesk MCP integration in my Pydantic AI code?

Install the slim package with MCP support, initialize MCPToolset with your Vinkius HTTP URL, and pass it to your Agent's toolsets parameter. This registers all Flodesk tools automatically.

Q: What happens if a subscriber is already unsubscribed?

Your agent calls getsubscriber to check their opt-in status. If the status field maps to an inactive state, the Pydantic model flags it, and your agent skips the email trigger.

Build type-safe email workflows with strict validation using the Flodesk MCP Server and Pydantic AI.

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Connect Flodesk MCP to Pydantic AI

Create your Vinkius account to connect Flodesk to Pydantic AI 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 Pydantic AI

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Type-safe subscriber creation with Pydantic AI

The `create_subscriber` tool registers new marketing contacts while enforcing strict Pydantic AI type validation on every field. If the Flodesk API returns an unexpected payload structure, the agent raises a validation error immediately. This prevents corrupt email records or broken status fields from entering your database. Your agent uses the schema to guarantee that `list_subscribers` always yields clean, type-checked Python objects.

Validated segment classification

The `list_segments` tool fetches your Flodesk subscriber groups and validates them against strict runtime schemas. Your Pydantic AI agent parses the results to ensure segment IDs are correctly formatted strings. When adding a user via `add_to_segment`, the framework verifies the input parameters before making the HTTP request. This prevents silent failures and API errors caused by malformed identifiers.

Schema-guaranteed workflow triggers

The `trigger_workflow` tool starts automated campaigns with complete type safety using the Flodesk MCP Server. The Pydantic AI agent confirms the subscriber exists and matches the required data model before starting the sequence. It checks the workflow status by calling `list_workflows` and parsing the response into a structured model. If Flodesk updates its API payload, your system catches the mismatch instantly during execution.

Setup guide

Set up Flodesk MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "flodesk-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Flodesk tools.",
)

result = await agent.run("List recent Flodesk transactions")
print(result.output)

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Common questions about Flodesk MCP in Pydantic AI

The framework wraps the MCP tool definitions in Pydantic models. When tools like `get_subscriber` run, the incoming JSON is validated at runtime, raising a clear exception if any field is missing or malformed.

Yes, because Pydantic AI is model-agnostic. You can run a local model to execute `add_to_segment` and `unsubscribe_subscriber` while maintaining the exact same type-safety guarantees.

Install the slim package with MCP support, initialize `MCPToolset` with your Vinkius HTTP URL, and pass it to your Agent's `toolsets` parameter. This registers all Flodesk tools automatically.

Your agent calls `get_subscriber` to check their opt-in status. If the status field maps to an inactive state, the Pydantic model flags it, and your agent skips the email trigger.

All API requests to manage workflows run through secure, single-use V8 isolates. No workflow configurations or subscriber journeys are cached on disk, ensuring complete operational privacy.

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