How to Use the Campaigner MCP in Pydantic AI

Integrate Campaigner with Pydantic AI. Enforce strict runtime validation on your marketing data so agents fail loudly on bad inputs.

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Connect Campaigner MCP to Pydantic AI

Create your Vinkius account to connect Campaigner 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 Campaigner with Pydantic AI

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Type-Safe Campaigner MCP Server

Calling `list_campaigns` and `get_campaign` returns raw JSON that Pydantic AI immediately validates against your schemas. If the API changes a field name, the framework throws an error instead of making up data. Gathering performance metrics uses `get_campaign_stats`. You define the expected integer types for clicks and opens. The model-agnostic agent processes the verified numbers without guessing.

Strict Subscriber Management

The `create_subscriber` tool expects specific string patterns for email addresses when pushing new contacts through the MCP connection. Your agent validates the user input before attempting the network request. Retrieving audience members relies on `list_subscribers` and `get_subscriber`. The framework guarantees that every returned record matches your Python class definition.

Workflow and Segment Auditing

Mapping out your contact lists happens via `list_publications` and `list_segments`. The agent extracts the segment IDs and enforces type constraints on the output. Corrupted data never enters your downstream logic. Checking automated paths is handled by `list_workflows` and `get_account_info`. You get a strongly-typed view of your entire marketing account structure.

Setup guide

Set up Campaigner 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": {
        "campaigner-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Campaigner 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 Campaigner. 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 Campaigner MCP in Pydantic AI

Install the slim package with MCP extras. Initialize MCPToolset using the unified HTTP approach. Pass the resulting toolset array to your Agent constructor.

The framework is completely model-agnostic. You run the list_campaigns tool using an Anthropic endpoint or a local Llama instance.

Bad responses trigger immediate validation failures. The agent refuses to proceed if the returned payload violates your schema constraints.

Both Streamable HTTP and SSE transports work perfectly. The external server handles the connection while your Python code manages the logic.

Open rates and click volumes never leak into unauthorized logs. Vinkius isolates the execution environment with zero-trust architecture. You hold the only valid endpoint token.

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