Can I check the open rate for a specific email using the agent?

Yes! Use the `get_email_analytics` tool with the Email ID. Your agent will fetch the detailed statistics, including deliveries, opens, and clicks, directly from Buttondown.

How do I add a new subscriber with a specific tag?

Simply ask the agent to `create_subscriber` and provide the email address and a JSON array of tags, for example: `["customer", "api-lead"]`. The subscriber will be added to Buttondown instantly.

Does the integration allow creating a new draft email?

Yes. Use the `create_email` action and set the status to `draft`. You can provide the subject and the body in markdown format, and it will appear in your Buttondown account ready for review.

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

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

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

Connect your Buttondown account to any AI agent and orchestrate your newsletter, subscriber management, and email campaigns through natural conversation.

Pydantic AI validates every Buttondown 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

Subscriber Oversight — List all your subscribers and retrieve detailed profiles, including metadata and tags.
Email Management — List all sent emails and drafts, and create new campaigns or drafts directly from your workspace.
Analytics Tracking — Retrieve detailed analytics for specific emails, including open and click rates.
Segment Coordination — Access and list your tags to ensure your audience is properly categorized.
Newsletter Access — List all newsletters managed in your account and access your core profile settings.
Subscriber Growth — Add new subscribers directly from your workspace with custom tags and metadata.

The Buttondown 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 Buttondown to Pydantic AI via MCP

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

Why Use Pydantic AI with the Buttondown MCP Server

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

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

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

Buttondown + Pydantic AI Use Cases

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

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

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

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

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

Buttondown MCP Tools for Pydantic AI (10)

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

create_email

Create a new email or draft

create_subscriber

Add a new subscriber to the newsletter

get_account_info

Retrieve core account/profile settings

get_email

Get details of a specific email

get_email_analytics

Get analytics for a specific email

get_subscriber

Get details of a specific subscriber

list_emails

List all sent emails and drafts

list_newsletters

List all newsletters in the account

list_subscribers

List all newsletter subscribers

list_tags

List all subscriber tags

Example Prompts for Buttondown in Pydantic AI

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

"List all my newsletter subscribers."

"Show analytics for my last sent email."

"Create a new draft with subject 'Hello World' and body 'This is a test'."

Troubleshooting Buttondown MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Buttondown + Pydantic AI FAQ

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