Can I check the statistics for a specific campaign using the agent?

Yes! Use the `get_campaign_stats` tool with the Campaign ID. Your agent will fetch the detailed performance data, including open rates, clicks, and bounces, directly from Campaigner.

How do I list all the subscribers in my account?

Simply ask the agent to `list_subscribers`. It will retrieve the list of contacts from your Campaigner account, including their status and primary details.

Does the integration allow adding a new subscriber?

Yes. Use the `create_subscriber` action and provide the email address. The contact will be added to your Campaigner account immediately.

Campaigner MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Campaigner
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Campaigner through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Campaigner "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Campaigner?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Campaigner MCP Server

Connect your Campaigner account to any AI agent and orchestrate your email marketing, subscriber management, and multi-channel campaigns through natural conversation.

Pydantic AI validates every Campaigner tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Subscriber Oversight — List all your subscribers and retrieve detailed profiles, including contact information and history.
Campaign Management — List all email campaigns and retrieve detailed metadata, including subjects and automated workflows.
Performance Tracking — Retrieve real-time statistics for specific campaigns to monitor engagement and ROI.
Publication Coordination — Access and list your 'Publications' (contact lists) to ensure your audience segments are properly managed.
Workflow & Segment Monitoring — List automated workflows and audience segments directly from your workspace.
Subscriber Growth — Create and add new subscribers to your account using natural language.

The Campaigner MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Campaigner to Pydantic AI via MCP

Follow these steps to integrate the Campaigner MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Campaigner with type-safe schemas

Why Use Pydantic AI with the Campaigner MCP Server

Pydantic AI provides unique advantages when paired with Campaigner through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Campaigner integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Campaigner connection logic from agent behavior for testable, maintainable code

Campaigner + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Campaigner MCP Server delivers measurable value.

Type-safe data pipelines: query Campaigner with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Campaigner tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Campaigner and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Campaigner responses and write comprehensive agent tests

Campaigner MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Campaigner to Pydantic AI via MCP:

create_subscriber

Add a new subscriber to Campaigner

get_account_info

Retrieve core account information

get_campaign

Get details of a specific campaign

get_campaign_stats

Retrieve performance statistics for a campaign

get_subscriber

Get details of a specific subscriber by email

list_campaigns

List all email campaigns

list_publications

List all publications/contact lists

list_segments

List configured audience segments

list_subscribers

List all newsletter subscribers

list_workflows

List automated workflows

Example Prompts for Campaigner in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Campaigner immediately.

"List all my email campaigns in Campaigner."

"Show the stats for campaign ID 12345."

"Search for subscriber with email john.doe@example.com."

Troubleshooting Campaigner MCP Server with Pydantic AI

Common issues when connecting Campaigner to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Campaigner + Pydantic AI FAQ

Common questions about integrating Campaigner MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Campaigner MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.