Can I send an email with HTML content and track whether it was delivered?

Absolutely. Use the `send_email` tool with your HTML body, then use `get_email` with the returned ID to check delivery status, open events, and bounce details in real time.

How do I check if my sending domain DNS records are correctly configured?

Run `list_domains` to find your domain ID, then use `get_domain` to inspect the full DNS record set (SPF, DKIM, return path). If records are pending, trigger `verify_domain` to re-check.

Can I add subscribers to an audience for broadcast campaigns?

Yes. First use `list_audiences` to get the target audience ID, then call `create_contact` with the subscriber's email and optional name fields. The contact is immediately available for broadcast targeting.

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

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

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

Connect your Resend account to any AI agent and take full control of your email infrastructure through natural conversation.

Pydantic AI validates every Resend 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

Send Emails — Dispatch transactional emails with HTML content, attachments, and reply-to headers instantly from your agent
Track Delivery — Retrieve complete delivery metadata, bounce information, and open/click analytics for any sent email
Domain Management — List verified sending domains, inspect DNS records (SPF/DKIM), and trigger verification checks
Audience & Contact Management — Browse audiences, list subscribers, and add new contacts programmatically for broadcast campaigns
Broadcast Campaigns — Monitor active broadcast campaigns, check delivery statuses, and audit mass email operations
API Key Auditing — List active API keys and their permission scopes to maintain security hygiene

The Resend 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 Resend to Pydantic AI via MCP

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

Why Use Pydantic AI with the Resend MCP Server

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

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

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

Resend + Pydantic AI Use Cases

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

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

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

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

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

Resend MCP Tools for Pydantic AI (10)

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

add_domain

Returns DNS records to configure. Add a new sending domain

create_contact

Add a contact to an audience

get_domain

Get domain details

get_email

Get email delivery status

list_api_keys

List all API keys

list_audiences

List email audiences

list_contacts

List contacts in an audience

list_domains

List verified sending domains

send_batch_emails

Each email needs from, to, subject, and html fields. Send batch of emails

send_email

Returns email ID for tracking delivery status. Send a transactional email

Example Prompts for Resend in Pydantic AI

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

"Send a welcome email to john@example.com from our onboarding address."

"Show me all our verified sending domains and their DNS status."

"List all contacts in our newsletter audience."

Troubleshooting Resend MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Resend + Pydantic AI FAQ

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