How to Use the MailSlurp MCP in Pydantic AI
Type-safe email testing automation with MailSlurp and Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MailSlurp MCP to Pydantic AI
Create your Vinkius account to connect MailSlurp to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Manage addresses via Pydantic AI
The `create_random_inbox` tool builds disposable email endpoints that return strictly typed JSON to your agent. Pydantic AI validates the inbox ID and address format at runtime, ensuring your pipeline never chokes on a malformed string. You get a guaranteed, clean starting point for every test. Teardown happens through the `delete_specific_inbox` command. Your agent targets the exact ID validated during creation, wiping the address and its contents. If the API returns an unexpected confirmation schema, the framework fails loudly before corrupting your state.
Await messages with exact schemas
The `wait_for_latest_email` tool holds the execution thread until the target inbox receives a message. Instead of dealing with messy polling logic, your agent waits for a clean, validated response object containing the email body. Testing batch systems requires the `wait_for_email_count` function. The agent verifies that the exact number of transactional messages hit the endpoint. Every returned array matches your predefined Pydantic models, eliminating silent data corruption.
Extract and send via this MCP Server
The `get_email_details` tool pulls the complete message payload, including headers and attachments. Pydantic AI maps this raw data into your schema, letting you confidently check for specific HTML tags or attachment sizes in your tests. To test inbound processing, your agent triggers `send_email_from_inbox`. It constructs the recipient and body fields, firing a response back to your application. You can review the sent status through `list_inbox_emails` to confirm the dispatch.
Set up MailSlurp MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"mailslurp-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to MailSlurp tools.",
)
result = await agent.run("List recent MailSlurp transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MailSlurp. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about MailSlurp MCP in Pydantic AI
Use it with your favorite AI tools
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