How to Use the Get a Newsletter MCP in Pydantic AI

Q: How does Pydantic AI handle API validation errors from Get a Newsletter?

If createcontact returns a validation error, the framework raises a Python exception immediately. This prevents your agent from continuing with invalid subscriber data, keeping your mailing lists clean.

Q: How does the server protect subscriber contact details?

Contact details queried via getcontact are transmitted over encrypted TLS connections directly to your Pydantic AI runtime. Vinkius operates a zero-trust gateway that handles API authentication without storing your API keys or subscriber data.

Run type-safe email marketing workflows by connecting Pydantic AI to the Get a Newsletter MCP Server.

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Connect Get a Newsletter MCP to Pydantic AI

Create your Vinkius account to connect Get a Newsletter 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 Get a Newsletter with Pydantic AI

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Type-safe subscriber creation with Pydantic AI

The `create_contact` tool runs with strict runtime validation when invoked by a Pydantic AI agent. The framework validates the API response against strict schemas, ensuring that email addresses and contact fields match your exact data models. If the Get a Newsletter API returns unexpected fields, the agent fails immediately instead of writing corrupt data. This prevents malformed contact records from breaking your downstream marketing automation pipelines.

Bulletproof list management using this MCP Server

The `get_list` tool retrieves subscriber list metadata using this MCP configuration. Your Pydantic AI agent parses the list details, ensuring fields like subscriber counts and list IDs conform to your application's expected types. When creating new segments, the agent calls `create_list` and validates the returned object structure. This strict verification guarantees that subsequent calls to `list_lists` always receive clean, predictable data structures.

Validated campaign tracking and contact updates

The `update_contact` tool allows your agent to modify subscriber profiles while enforcing strict data hygiene. Pydantic AI validates the contact payload before sending it, preventing API errors caused by invalid field types. The agent uses `get_campaign` to fetch performance stats, mapping the raw JSON directly to Python type hints. This makes it impossible for a hallucinated campaign metric to slip into your reporting database.

Setup guide

Set up Get a Newsletter 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": {
        "get-a-newsletter-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Get a Newsletter transactions")
print(result.output)

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Common questions about Get a Newsletter MCP in Pydantic AI

If `create_contact` returns a validation error, the framework raises a Python exception immediately. This prevents your agent from continuing with invalid subscriber data, keeping your mailing lists clean.

Yes. Pydantic AI is model-agnostic, meaning you can hook up local LLMs to run tools like `list_campaigns` and `get_contact` as long as the model supports tool calling.

Configure your toolset with your Vinkius HTTP endpoint and authentication token. The toolset handles the headers automatically, exposing tools like `list_lists` to your agent securely.

The framework supports both Streamable HTTP and SSE transports. Use the MCPToolset class to connect your agent to the externally running server.

Contact details queried via `get_contact` are transmitted over encrypted TLS connections directly to your Pydantic AI runtime. Vinkius operates a zero-trust gateway that handles API authentication without storing your API keys or subscriber data.

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