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How to Use the Beehiiv MCP in AutoGen

Let your AutoGen agents debate newsletter strategy using live Beehiiv data and real-time performance insights.

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AutoGen

Connect Beehiiv MCP to AutoGen

Create your Vinkius account to connect Beehiiv to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Debate newsletter metrics in AutoGen

Create a performance agent that challenges your content agent. They use `get_post_stats` to verify if a post actually met its engagement goals. This multi-agent setup forces the system to reach a consensus. The agents argue over the data until they agree on a recommendation.

Automate Beehiiv workflows with agents

Assign one agent to `list_automations` and another to suggest improvements. They discuss the current journeys and propose modifications based on the results. The system handles the heavy lifting of evaluating your current email sequences. You only step in to review the final decision.

Coordinate Beehiiv publications

Use `list_publications` to give agents context about your current brand setup. They ensure all actions align with your active publication settings. This prevents agents from making assumptions that contradict your actual account configuration. They work with the facts provided by the server.

Setup guide

Set up Beehiiv MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install AutoGen with MCP

    Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.

  2. 2

    Fetch tools from the MCP

    Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes Beehiiv tools and returns structured results.

agent.py
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Beehiiv_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Beehiiv data")
print(result.messages[-1].content)

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Beehiiv MCP in AutoGen

Yes, agents can pass tool outputs back and forth. This allows them to build a shared understanding of your newsletter's performance.
Install the MCP extension for AutoGen and provide the server URL. The adapter automatically converts the tools for your agents to use.
The framework is designed for this. You define the agents with competing goals, and they use the tools to negotiate a resolution.
The server handles all authentication internally. You just provide the token during your initial connection setup.
Every request is routed through a secure, isolated container. We do not store your subscriber lists or publication content after the agent session ends.

Start using the Beehiiv MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Beehiiv. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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