How do I find my Inbox ID?

Use the `list_all_inboxes` tool to see a comprehensive list of all your MailSlurp addresses along with their unique IDs.

What is the benefit of the 'wait-for' tools?

They hold the connection until an email arrives, making it easy to test asynchronous processes (like password resets) without writing complex retry loops.

Where do I find my API Key?

Log in to your MailSlurp dashboard and copy the API key from the Home or API Settings section.

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

Name: MailSlurp
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 MailSlurp 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 MailSlurp "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 MailSlurp MCP Server

Connect your MailSlurp account to any AI agent to automate your email testing and asynchronous message management. This MCP server enables your agent to create virtual inboxes, send and receive emails, and handle complex automation scenarios using long-polling 'wait-for' methods directly from natural language interfaces.

Pydantic AI validates every MailSlurp 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 Management — Create random or custom email addresses and list all managed inboxes in your account
Email Automation — Long-poll for the latest incoming email or wait until a specific email count is reached for testing suites
Message Retrieval — List and inspect messages received by any virtual address, including full HTML and text bodies
Outbound Capability — Send emails directly from any of your MailSlurp addresses programmatically
Infrastructure Maintenance — Permanently delete individual messages or entire virtual inboxes via simple commands
Metadata Inspection — Retrieve detailed technical headers and attachment metadata for any received email

The MailSlurp 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 MailSlurp to Pydantic AI via MCP

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

Why Use Pydantic AI with the MailSlurp MCP Server

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

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

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

MailSlurp + Pydantic AI Use Cases

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

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

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

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

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

MailSlurp MCP Tools for Pydantic AI (8)

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

create_random_inbox

Create a new random email address

delete_specific_inbox

Delete an inbox and its emails

get_email_details

Get complete content for a specific email

list_all_inboxes

List all MailSlurp inboxes

list_inbox_emails

List emails received by an inbox

send_email_from_inbox

Requires recipient and content. Send an email using a MailSlurp address

wait_for_email_count

Wait until an inbox has a certain number of emails

wait_for_latest_email

Returns the latest one immediately if present. Long-poll for the next incoming email

Example Prompts for MailSlurp in Pydantic AI

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

"Create a new random inbox in MailSlurp."

"Wait for the next email to arrive in inbox 'inbox-xyz'."

"Send an email to 'user@example.com' from inbox 'inbox-xyz'."

Troubleshooting MailSlurp MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MailSlurp + Pydantic AI FAQ

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