How do I get an Elastic Email API Key?

Log in to your Elastic Email dashboard, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from there. Ensure the key has the necessary permissions for campaigns and contacts.

Can the agent send new email broadcasts?

This integration currently focuses on listing and auditing campaigns, lists, and contacts. Scheduling or sending actual email broadcasts should be managed via the Elastic Email campaign builder or SMTP interface.

Does the integration show real-time delivery status?

Yes, you can use the list_delivery_logs tool to retrieve the latest transmission events and statuses as reported by the Elastic Email platform.

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

Name: Elastic Email
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 Elastic Email 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 Elastic Email "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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DLPData protection

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Ed25519Audit chain

<40msKill switch

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 Elastic Email MCP Server

Integrate Elastic Email, the powerful email marketing and delivery platform, directly into your AI workflow. Manage your email campaigns and templates, track contact lists and individual profiles, monitor real-time delivery logs and statuses, and oversee your marketing operations using natural language.

Pydantic AI validates every Elastic Email 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 performance metrics for all your email marketing campaigns.
Contact Intelligence — Monitor contact address lists, individual profile details, and subscription statuses across your organization.
Delivery Monitoring — Track real-time email delivery logs, identifying success rates and recipient timestamps via chat.
Marketing Auditing — Retrieve high-level summaries of list volumes, campaign activity, and account credit balances instantly.

The Elastic Email 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 Elastic Email to Pydantic AI via MCP

Follow these steps to integrate the Elastic Email 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 Elastic Email with type-safe schemas

Why Use Pydantic AI with the Elastic Email MCP Server

Pydantic AI provides unique advantages when paired with Elastic Email 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 Elastic Email integration code

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

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

Elastic Email + Pydantic AI Use Cases

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

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

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

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

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

Elastic Email MCP Tools for Pydantic AI (10)

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

get_campaign_performance

Get detailed performance metrics for a specific email campaign

get_contact_profile

Get full profile and history for a specific contact by email

get_elastic_email_metadata

Retrieve metadata and usage limits for your Elastic Email account

list_contact_address_lists

List all contact lists configured in your account

list_delivery_logs

List recent email delivery logs and statuses

list_email_designs

List all available email message templates and designs

list_marketing_campaigns

List all email marketing campaigns in your Elastic Email account

list_marketing_contacts

List all contacts registered in your organization

quick_marketing_volume_audit

Retrieve a high-level summary of campaign activity and contact counts

search_contacts_by_email

Search for a contact using their email address

Example Prompts for Elastic Email in Pydantic AI

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

"List all active marketing campaigns."

"Show me the delivery logs for today."

"Search for contact 'john.doe@example.com'."

Troubleshooting Elastic Email MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Elastic Email + Pydantic AI FAQ

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