How to Use the Sender.net MCP in Pydantic AI

Q: Can Pydantic AI create Sender.net campaigns automatically?

Yes. The createcampaign tool accepts validated inputs from your agent to draft new messages directly in your account.

Q: Does Pydantic AI support filtering Sender.net subscribers?

It does. The listsubscribers tool accepts group IDs and status filters, returning a strictly typed list of matching contacts.

Type-safe Sender.net integration for Pydantic AI. Validate every subscriber record and campaign metric at runtime.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Sender.net MCP to Pydantic AI

Create your Vinkius account to connect Sender.net to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Sender.net with Pydantic AI

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Type-safe Sender.net MCP Server

The `get_subscriber_details` and `get_user_profile` tools return structured JSON that your agent validates against strict schemas. If the API returns a malformed date, the framework fails loudly. This prevents silent data corruption. Your agent will never hallucinate a missing email field because the runtime catches the error before the logic continues.

Manage contacts reliably

Agents execute `create_subscriber` and `delete_subscriber` MCP tools with guaranteed parameter types. You know exactly what string format the agent is passing to the marketing platform. That's how complex updates work too. When calling `update_subscriber`, the framework ensures the payload matches the exact requirements of the endpoint.

Read exact performance metrics

Your models pull reporting data over the MCP connection using `get_campaign_analytics` and `list_email_campaigns`. The framework maps the raw numbers into predictable Python objects. You can swap underlying LLMs without changing this integration. The data structure remains identical across Anthropic, OpenAI, or local models.

Setup guide

Set up Sender.net 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": {
        "sendernet-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sender.net. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Sender.net MCP in Pydantic AI

Install the slim package with MCP support. Use MCPToolset to configure the HTTP endpoint and attach it to your agent's toolsets array.

Yes. The create_campaign tool accepts validated inputs from your agent to draft new messages directly in your account.

It does. The list_subscribers tool accepts group IDs and status filters, returning a strictly typed list of matching contacts.

The framework throws a validation error immediately. Your agent halts execution rather than processing corrupted data.

The integration reads sensitive opt-in statuses, IP addresses, and contact names. Vinkius manages the connection using ephemeral, isolated execution environments. No data touches a disk during the transfer.

Use it with your favorite AI tools

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