Buttondown MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Buttondown through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Buttondown Assistant",
instructions=(
"You help users interact with Buttondown. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Buttondown"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Buttondown through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Buttondown, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Buttondown MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Buttondown
Why Use OpenAI Agents SDK with the Buttondown MCP Server
OpenAI Agents SDK provides unique advantages when paired with Buttondown through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Buttondown + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Buttondown MCP Server delivers measurable value.
Automated workflows: build agents that query Buttondown, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Buttondown, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Buttondown tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Buttondown to resolve tickets, look up records, and update statuses without human intervention
Buttondown MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Buttondown to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Buttondown to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Buttondown + OpenAI Agents SDK FAQ
Common questions about integrating Buttondown MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Buttondown with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Buttondown to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
