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How to Use the Typebot MCP in Google ADK

Typebot: Deploy robust bot pipelines with the Google ADK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Typebot MCP to Google ADK

Create your Vinkius account to connect Typebot 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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Deploy and Publish Bots

Ready to go live? Use `publish_typebot` which requires the unique bot ID. This tool takes your latest changes and deploys the Typebot, making it active for users.

Identify Bot Locations

Need to know what's available? Call `list_workspaces` to get a list of every accessible Typebot workspace. You can then use `list_folders` to see how those bots are organized.

View Conversation Data

If you need data for BigQuery, the `list_typebot_results` tool is essential. It pulls all collected user responses from a bot, giving your agent the necessary lead export data.

Setup guide

Set up Typebot 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Typebot 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="Typebot_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Typebot 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 Typebot. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

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 Typebot MCP in Google ADK

Use `get_typebot_details`. This function is critical because it provides a full review of the bot's underlying logic and structure before you run anything.
The `start_chat_session` tool handles this. Your agent can initiate a new bot flow, which is perfect for testing or automating interactions.
Yes, by calling `list_workspaces`. This gives your agent a comprehensive view of every workspace containing typebots.
Absolutely. You can call `list_typebots`, and you'll have the option to filter this list using a specific workspace ID.
This MCP Server handles user responses and conversational flow metadata. Specifically, `list_typebot_results` accesses collected user input for analysis.

Start using the Typebot MCP today

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

Built & Managed by Vinkius 30s setup 8 tools

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

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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