How do I get an EmailOctopus API Key?

Log in to your EmailOctopus account, navigate to **Account > API**, and you can generate or retrieve your unique API Key from there.

Can the agent send new email campaigns?

This integration currently focuses on listing and auditing campaigns, lists, and contacts. Creating or sending new email campaigns should be managed via the EmailOctopus dashboard.

Does the integration show open rates?

Yes, you can use the get_campaign_performance_summary tool to retrieve specific counts for opens and clicks for any sent campaign.

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

Name: EmailOctopus
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 EmailOctopus through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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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 EmailOctopus "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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About EmailOctopus MCP Server

Integrate EmailOctopus, the affordable and powerful email marketing platform, directly into your AI workflow. Manage your marketing lists and subscriber profiles, track email campaigns and their real-time statuses, monitor detailed performance reports, and oversee your entire marketing operation using natural language.

Pydantic AI validates every EmailOctopus 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

Campaign Oversight — List and retrieve detailed information and status for all your email marketing campaigns.
Contact Intelligence — Monitor contact address lists, individual profile details, and subscription statuses across your organization.
Performance Monitoring — Access real-time campaign performance summaries, resolving sent, open, and click-through counts via chat.
Marketing Auditing — Retrieve high-level summaries of list volumes, campaign activity, and organizational marketing health instantly.

The EmailOctopus 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 EmailOctopus to Pydantic AI via MCP

Follow these steps to integrate the EmailOctopus 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 EmailOctopus with type-safe schemas

Why Use Pydantic AI with the EmailOctopus MCP Server

Pydantic AI provides unique advantages when paired with EmailOctopus 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 EmailOctopus integration code

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

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

EmailOctopus + Pydantic AI Use Cases

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

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

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

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

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

EmailOctopus MCP Tools for Pydantic AI (10)

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

get_campaign_details

Get detailed settings for a specific email campaign

get_campaign_performance_summary

Get a summary of performance metrics for a specific campaign

get_contact_profile

Get full profile and history for a specific contact

get_list_details

unsubscribed counts and organizational markers. Get detailed settings and subscriber counts for a specific list

list_email_campaigns

List all email marketing campaigns in your account

list_list_contacts

List all contacts within a specific marketing list

list_marketing_lists

List all contact lists in your EmailOctopus account

list_successfully_sent_campaigns

Identify campaigns that have already been sent to subscribers

quick_marketing_volume_audit

Retrieve a high-level summary of list and campaign activity

search_contacts_by_email

Search for a contact within a list using their email address

Example Prompts for EmailOctopus in Pydantic AI

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

"List all my marketing lists."

"Show me the performance report for campaign 'Q1 Promo'."

"Search for contact 'jane@example.com' in the Weekly Newsletter list."

Troubleshooting EmailOctopus MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

EmailOctopus + Pydantic AI FAQ

Common questions about integrating EmailOctopus 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 EmailOctopus MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.