How do I get Emarsys API credentials?

Log in to your Emarsys account, navigate to **Admin > Web Services**, and you can create or retrieve your **API Username** and **Secret Key**. Ensure the user has the required permissions for the resources you wish to access.

What authentication method does this integration use?

This integration uses **W-SSE authentication**, which is the standard for the Emarsys API. It requires both your API Username and Secret Key to securely generate request headers.

Can the agent trigger automation programs?

This integration currently focuses on listing and auditing programs and events. Triggering specific automation workflows should be managed via external events in the Emarsys dashboard or dedicated transactional API calls.

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

Name: Emarsys
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 Emarsys 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 Emarsys "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Emarsys MCP Server

Integrate Emarsys, the comprehensive customer engagement platform, directly into your AI workflow. Manage your email marketing campaigns and contact lists, track audience segments and automation programs, monitor trigger events and registration forms, and oversee your omnichannel engagement using natural language.

Pydantic AI validates every Emarsys 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, subject lines, and launch statuses for all your email campaigns.
Contact Intelligence — Monitor marketing contact lists and audience segments, resolving structural details and filter criteria.
Automation Management — Access and monitor automation programs and workflows, tracking active statuses and trigger events.
Engagement Auditing — Retrieve high-level summaries of campaign volume, list activity, and organizational marketing health instantly.

The Emarsys 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 Emarsys to Pydantic AI via MCP

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

Why Use Pydantic AI with the Emarsys MCP Server

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

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

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

Emarsys + Pydantic AI Use Cases

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

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

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

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

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

Emarsys MCP Tools for Pydantic AI (10)

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

get_campaign_details

Get detailed settings and status for a specific email campaign

get_contact_list_details

Get detailed settings for a specific contact list

get_emarsys_account_metadata

Retrieve metadata and settings for your Emarsys account

list_audience_segments

List all audience segments (filters) in your account

list_automation_programs

List all automation programs and workflows

list_email_campaigns

List all email campaigns in your Emarsys account

list_marketing_contact_lists

List all contact lists configured in your organization

list_registration_forms

List all subscription and registration forms

list_trigger_events

List all external events used for triggering automation programs

quick_engagement_volume_audit

Retrieve a high-level summary of campaigns, lists, and automation programs

Example Prompts for Emarsys in Pydantic AI

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

"List all active email campaigns."

"Show me the audience segments in my account."

"What automation programs are currently running?"

Troubleshooting Emarsys MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Emarsys + Pydantic AI FAQ

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