EmailOctopus MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Add Contact To List, Create Email List, Get Campaign Details, and more
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.
Ask AI about this App Connector for Pydantic AI
The EmailOctopus app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in EmailOctopus?"
)
print(result.data)
asyncio.run(main())
* 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 EmailOctopus MCP Server
Connect your EmailOctopus (v2) account to any AI agent and take full control of your email marketing and subscriber engagement workflows through natural conversation.
Pydantic AI validates every EmailOctopus tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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
- Audience Orchestration — List and manage your email marketing lists programmatically, including creating new lists and monitoring subscriber counts
- Subscriber Lifecycle — Programmatically add, update, or remove subscribers from lists and manage detailed profiles, tags, and custom fields
- Campaign Management — Monitor sent and draft campaigns and retrieve high-fidelity performance reports including open and click rates
- Workflow Automation — Programmatically trigger automated sequences (workflows) for specific contacts to coordinate complex customer journeys
- Operational Visibility — Retrieve complete list metadata and individual contact details directly through your agent for instant marketing reporting
The EmailOctopus MCP Server exposes 12 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.
All 12 EmailOctopus tools available for Pydantic AI
When Pydantic AI connects to EmailOctopus through Vinkius, your AI agent gets direct access to every tool listed below — spanning emailoctopus, email-marketing, automation-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new contact to a list
Create a new subscriber list
Get details for a campaign
Get performance metrics for a campaign
Get details for a contact
Get details for an email list
Can filter by status. List contacts in a specific list
List all sent and draft campaigns
List all subscriber lists
Delete a contact from a list
Requires API trigger to be enabled. Start an automation for a contact
Update an existing contact
Connect EmailOctopus to Pydantic AI via MCP
Follow these steps to wire EmailOctopus into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
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
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 email subscriber lists in EmailOctopus."
"Add subscriber 'john.doe@example.com' to list 'l_123' with tag 'Customer'."
"Show me the report summary for campaign ID 'c_987'."
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
pip install --upgrade pydantic-aiEmailOctopus + Pydantic AI FAQ
Common questions about integrating EmailOctopus MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.