How to Use the Beehiiv MCP in Google ADK
Connect the Beehiiv MCP Server to Google ADK and let Gemini agents manage your newsletter subscribers and content.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Beehiiv MCP to Google ADK
Create your Vinkius account to connect Beehiiv to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Analyze Posts with Google ADK
The `list_posts` and `get_post` tools feed your newsletter content straight into Gemini's massive context window. You set up an McpToolset with your endpoint URL to give your agent immediate read access to your entire publication history. Gemini's long-context reasoning makes analyzing years of Beehiiv back-issues possible in a single prompt. Your enterprise agent ingests all that text at once to find recurring newsletter themes or draft highly specific follow-up content.
Audience Data Integration
Tools like `list_subscriptions` and `get_subscription` via this MCP integration expose your active reader base to your Google Cloud environment. You pass the toolset to your LlmAgent and it starts pulling subscriber details. Cross-referencing this information with BigQuery records gives you a complete view of your audience. The agent reads the exact subscription status and joins it with your existing enterprise data.
Publication Performance Tracking
The `get_post_stats` tool retrieves open rates and click metrics for your recent sends. Your agent calls this endpoint to evaluate how specific content performed with your readers. Routing these Beehiiv statistics into Vertex AI pipelines lets you build predictive models for future posts. The MCP standard ensures the click and open data arrives in a predictable format every time your agent requests it.
Set up Beehiiv MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Beehiiv tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Beehiiv_agent",
model="gemini-2.0-flash",
instruction="You have access to Beehiiv tools via MCP.",
tools=mcp_tools,
) 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.
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
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place for every integration
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Common questions about Beehiiv MCP in Google ADK
Use it with your favorite AI tools
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