Beehiiv 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 Beehiiv 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="Beehiiv Assistant",
instructions=(
"You help users interact with Beehiiv. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Beehiiv"
)
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 Beehiiv MCP Server
Connect your Beehiiv account to any AI agent and empower it to operate your entire newsletter growth engine, analyzing open rates, verifying automated sequences, and maintaining audience health directly from chat.
The OpenAI Agents SDK auto-discovers all 10 tools from Beehiiv through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Beehiiv, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Subscribers & Audience — Browse email lists, fetch UTM acquisition params, and explicitly register new subscribers with single commands
- Post Metadata & Content — Retrieve pure HTML payloads of delivered newsletters and paginate through full historical posts
- Real-Time Analytics — Generate comprehensive overviews of account-level performance, highlighting macroscopic open and click rates
- Segments & Automations — Explore active internal audience segments and conditional email logic chains dynamically
- Publication Topology — Investigate overriding active metrics linking directly to your organization's core structure
The Beehiiv 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 Beehiiv to OpenAI Agents SDK via MCP
Follow these steps to integrate the Beehiiv 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 Beehiiv
Why Use OpenAI Agents SDK with the Beehiiv MCP Server
OpenAI Agents SDK provides unique advantages when paired with Beehiiv 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
Beehiiv + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Beehiiv MCP Server delivers measurable value.
Automated workflows: build agents that query Beehiiv, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Beehiiv, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Beehiiv tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Beehiiv to resolve tickets, look up records, and update statuses without human intervention
Beehiiv MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Beehiiv to OpenAI Agents SDK via MCP:
create_subscription
Register a new subscriber explicitly
get_post
Retrieve explicit content of a specific Post
get_post_stats
Get aggregated post performance statistics
get_publication
Get specific Beehiiv publication metadata
get_subscription
Get exact details of a Beehiiv subscription
list_automations
List native conditional email journeys
list_posts
List explicit newsletter posts natively published
list_publications
List active Beehiiv publications
list_segments
List specific internal Beehiiv segments
list_subscriptions
List specific Beehiiv active subscribers
Example Prompts for Beehiiv in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Beehiiv immediately.
"List my recent newsletter publications and ID formats."
"Check overall open and click stats for my account."
"Subscribe alex@example.com to my newsletter right now."
Troubleshooting Beehiiv MCP Server with OpenAI Agents SDK
Common issues when connecting Beehiiv to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Beehiiv + OpenAI Agents SDK FAQ
Common questions about integrating Beehiiv 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 Beehiiv 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 Beehiiv to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.