How to Use the Klaviyo (Marketing Automation) MCP in Pydantic AI

Q: How do I add Klaviyo (Marketing Automation) to Pydantic AI?

Install pydantic-ai-slimmcp. Initialize an MCPToolset with your HTTP endpoint for the MCP Server. Pass this toolset into your Agent constructor to expose the tools.

Q: Can Pydantic AI agents create profiles in Klaviyo (Marketing Automation)?

Yes. The agent calls createprofile with an email address. Pydantic ensures the payload matches the required string format before making the request.

Q: How do I read audience segments with Klaviyo (Marketing Automation) and Pydantic AI?

Your agent runs listaudiencesegments. This returns dynamically updating cohorts based on behavioral data, which Pydantic validates against your expected schema.

Build type-safe marketing agents with Pydantic AI and Klaviyo to enforce strict data validation.

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Connect Klaviyo (Marketing Automation) MCP to Pydantic AI

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Setup Klaviyo (Marketing Automation) with Pydantic AI

Ask AI about this MCP

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Perplexity

Validate Klaviyo data at runtime

Marketing APIs return messy data. Pydantic AI fixes this by enforcing strict schemas. When your agent calls `get_profile` through the MCP tools, the framework checks the response against your internal models. If the predictive analytics or custom e-commerce properties come back formatted wrong, the agent fails loudly. You get a clear validation error instead of silently corrupting your database.

Mutate lists with confidence

Adding the wrong users to a VIP segment ruins deliverability. This MCP Server gives your agent the `list_lists` tool to verify target IDs before making changes. Once the destination is confirmed, the agent executes `add_profiles_to_list`. Pydantic AI is model-agnostic. You can trust this logic to run on Anthropic, Gemini, or a local model.

Type-checked MCP Server audits

Your automated lifecycle marketing requires constant auditing. The agent pulls active sequences using `list_automation_flows`. It expects specific flow IDs and active status booleans. It then inspects the sequence via `get_flow_details`. The agent validates the entry triggers and action steps. If a scheduled email campaign is missing its target audience, `get_campaign_details` catches it immediately.

Setup guide

Set up Klaviyo (Marketing Automation) 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": {
        "klaviyo-marketing-automation-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Klaviyo (Marketing Automation) transactions")
print(result.output)

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Common questions about Klaviyo (Marketing Automation) MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]`. Initialize an `MCPToolset` with your HTTP endpoint for the MCP Server. Pass this toolset into your `Agent` constructor to expose the tools.

Yes. The agent calls `create_profile` with an email address. Pydantic ensures the payload matches the required string format before making the request.

Your agent runs `list_audience_segments`. This returns dynamically updating cohorts based on behavioral data, which Pydantic validates against your expected schema.

The framework throws a validation error immediately. It prevents your agent from hallucinating fields or acting on malformed campaign details.

Security is handled via single-endpoint tokens. When your agent pulls names and email addresses using `list_profiles`, the transaction occurs within an isolated sandbox. We discard all context immediately after the HTTP response.

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