How to Use the Beehiiv MCP in CrewAI
Deploy an autonomous team of agents to manage your Beehiiv account. Let a CrewAI team handle analytics, subscribers, and content operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Beehiiv MCP to CrewAI
Create your Vinkius account to connect Beehiiv to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Assign a Crew to Watch Your Stats
Build a CrewAI team dedicated to your Beehiiv growth. Assign one agent the role of 'Analyst' and give it access to the `get_post_stats` tool. Its only job is to monitor the performance of new posts. Then add a 'Reporter' agent to the same crew. The Analyst agent passes its findings to the Reporter, which then formats a summary and uses another tool to send a daily digest to your team. The agents collaborate using shared memory, all orchestrated by CrewAI.
Delegate Subscriber Tasks to a CrewAI Team
Create a 'Subscriber Manager' agent and give it access to the `list_subscriptions` and `get_subscription` tools. Its task is to periodically check for new subscribers or changes in status. Pair it with a 'Segmentation' agent that uses `list_segments`. When the Manager agent finds a new high-profile subscriber, it can task the Segmentation agent with checking which segments they belong to. This is how you build autonomous workflows with specialized agent roles.
Run Content Operations with your MCP Server
Set up a 'Content Auditor' agent. Its job is to use `list_posts` to get a full inventory of your published content. It can then pass that list to another agent, a 'Fact Checker,' which uses `get_post` to read the content of each post and check it against other sources. This MCP server provides the essential tools for your CrewAI agents to interact with Beehiiv. You can also have an agent use `get_publication` to monitor your publication's metadata for any unauthorized changes, adding a layer of automated oversight to your operation.
Set up Beehiiv MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Beehiiv tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Beehiiv Analyst",
goal="Access and analyze Beehiiv data via MCP.",
backstory="Expert analyst with direct Beehiiv access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Beehiiv transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Beehiiv Analyst",
goal="Access and analyze Beehiiv data via MCP.",
backstory="Expert analyst with direct Beehiiv access.",
tools=mcp_tools,
)
task = Task(
description="List recent Beehiiv transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Beehiiv. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
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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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60%
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Common questions about Beehiiv MCP in CrewAI
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