How do I find my Server ID?

Use the `list_virtual_servers` tool to see a comprehensive list of all servers in your account along with their unique IDs.

Can I search for messages by recipient email?

Yes, use the `search_server_messages` tool and provide a JSON criteria object with the `sentTo` field.

Does Mailosaur support SMS messages?

Absolutely. Mailosaur treats SMS messages similarly to emails. You can list and search for them within your virtual servers just like email content.

Mailosaur MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Mailosaur
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mailosaur 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 Mailosaur "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Mailosaur?"
    )
    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 Mailosaur MCP Server

Connect your Mailosaur account to any AI agent to automate your email and SMS testing workflows. This MCP server enables your agent to manage virtual servers (inboxes), retrieve and search for messages, and extract content for validation directly from natural language interfaces.

Pydantic AI validates every Mailosaur tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Virtual Inbox Oversight — List and manage all virtual servers and retrieve their unique routing domains
Message Retrieval — List all email and SMS messages received by a specific server instantly
Advanced Search — Find specific messages by sender, recipient, subject, or body content using detailed criteria
Content Inspection — Retrieve the full HTML and text content of any message for automated validation
Inbox Maintenance — Clear entire server inboxes or delete specific messages via simple commands
Dynamic Infrastructure — Create and configure new virtual servers programmatically for testing isolation

The Mailosaur MCP Server exposes 8 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 Mailosaur to Pydantic AI via MCP

Follow these steps to integrate the Mailosaur 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 8 tools from Mailosaur with type-safe schemas

Why Use Pydantic AI with the Mailosaur MCP Server

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

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

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

Mailosaur + Pydantic AI Use Cases

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

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

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

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

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

Mailosaur MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Mailosaur to Pydantic AI via MCP:

clear_server_inbox

Delete all messages in a server

create_virtual_server

Create a new virtual server/inbox

delete_specific_message

Permanently remove a message

get_message_content

Get the full content of a specific message

get_server_details

Get details for a specific virtual server

list_server_messages

List all messages in a virtual server

list_virtual_servers

Use this to identify server IDs. List all Mailosaur virtual servers

search_server_messages

Requires a server ID and criteria like sentTo, sentFrom, or subject. Search for specific messages using criteria

Example Prompts for Mailosaur in Pydantic AI

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

"List all my Mailosaur servers."

"Find the last message sent to 'test-user@mailosaur.io' in server 'prod123'."

"Delete all messages in the 'Dev Sandbox' server (ID: 'dev789')."

Troubleshooting Mailosaur MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mailosaur + Pydantic AI FAQ

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