How to Use the ManyChat MCP in Google ADK

Q: Can Google ADK agents read my existing ManyChat automations?

Yes. The agent calls listflows to see every active sequence in your workspace. It uses this map to decide which funnel a specific lead belongs in.

Connect ManyChat to Google ADK and let Gemini agents analyze massive subscriber datasets.

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Connect ManyChat MCP to Google ADK

Create your Vinkius account to connect ManyChat 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.

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Setup ManyChat with Google ADK

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Sync ManyChat data with Google ADK

Enterprise marketing requires serious data pipelines. When you connect this MCP Server to Google ADK, your Gemini agents pull subscriber details straight from ManyChat and cross-reference them against your BigQuery tables. The agent uses `find_subscriber_by_email` to locate a user and matches that profile with their historical purchase data. Because Gemini handles massive context windows, you feed it hundreds of user interactions at once. It reads the current bot fields via `list_custom_fields` and decides exactly how to route the customer based on your internal enterprise logic.

Trigger flows from Vertex AI

You don't need manual operators staring at WhatsApp queues. Your Google Cloud agent monitors incoming signals and executes `trigger_flow` the moment a lead qualifies. It pushes the contact into the right automation sequence without human intervention. If a user needs immediate attention, the agent flags them. It fires `add_tag` to alert your sales team while simultaneously updating their profile status using `set_custom_field`. You keep your messaging channels highly responsive.

Resolve cross-channel identities

Customers talk to you on Instagram, then switch to Messenger. Your agent uses `find_subscriber_by_name` and `find_subscriber_by_phone` to hunt down these fragmented profiles across platforms. It figures out who is who before making a move. Once it identifies the correct record, it pulls the full profile with `get_subscriber`. The agent merges that context into its working memory, ensuring your MCP connection never sends redundant marketing sequences to the same person twice.

Setup guide

Set up ManyChat MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(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 ManyChat tools in your ADK agent.

agent.py

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="ManyChat_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ManyChat tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ManyChat. 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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Common questions about ManyChat MCP in Google ADK

Install the google-adk package. Initialize a McpToolset with your Vinkius URL and pass it to your LlmAgent via the tools parameter. You can restrict which ManyChat actions the agent sees using the tool_names filter.

Yes. The agent calls `list_flows` to see every active sequence in your workspace. It uses this map to decide which funnel a specific lead belongs in.

Gemini agents run fast, so you might hit API ceilings. Implement exponential backoff in your Python code when running bulk operations like `create_subscriber` across large datasets.

Vinkius hosts these endpoints, so you will use the HTTP transport layer. Just configure your StreamableHttpServerParameters with the provided endpoint token.

The integration reads and writes direct contact details like names and phone numbers. Every transaction happens inside a zero-trust execution sandbox that terminates completely once the API returns its payload.

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