How to Use the Bubble.io (No-code Application Platform API) MCP in Google ADK

Connect Bubble.io to Google ADK to analyze massive datasets and trigger workflows with long-context Gemini models.

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Connect Bubble.io (No-code Application Platform API) MCP to Google ADK

Create your Vinkius account to connect Bubble.io (No-code Application Platform API) 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 Bubble.io (No-code Application Platform API) with Google ADK

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Run long-context database searches

Gemini models excel at holding massive amounts of context. By using `search_things`, your Google ADK agent can pull thousands of database rows and analyze them in a single prompt window. You do not need to worry about aggressive chunking or losing context. The agent scans the retrieved Bubble data, finds the trends, and acts on them immediately.

Bridge BigQuery data with your MCP Server

Enterprise data often sits in Google Cloud. This MCP Server lets your agent pull records from BigQuery, process them, and write them directly to Bubble using `bulk_create_things`. It bridges the gap between your analytical database and your user-facing app. Your agent handles the pipeline logic without you writing custom ETL scripts.

Execute complex backend workflows

When your Gemini agent identifies a business event from your data, it can immediately run `trigger_workflow`. This starts your backend processes inside Bubble without delay. You get a direct connection from your Google Cloud infrastructure to your no-code frontend. The agent handles the decision loop, and Bubble handles the application logic.

Setup guide

Set up Bubble.io (No-code Application Platform API) 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 Bubble.io (No-code Application Platform API) 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="Bubble.io (No-code Application Platform API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bubble.io (No-code Application Platform API) 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 Bubble.io. 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 Bubble.io (No-code Application Platform API) MCP in Google ADK

Install the ADK package and initialize the toolset with your Vinkius MCP Server URL. Your Gemini agent will auto-discover tools like `search_things` and `create_thing` instantly. This lets you combine enterprise cloud data with your no-code database.

Yes, the agent can process large datasets from BigQuery and use `bulk_create_things` to write them in bulk. It formats the data into NDJSON automatically. This prevents API timeouts and keeps your databases in sync.

Vinkius manages your API keys in a zero-trust environment, so your Google ADK code only needs a single connection token. Your credentials never touch the client-side environment. This ensures your enterprise database remains secure.

Yes, the ADK allows you to use a tool names filter to limit exposure. If you only want the agent to read data, you can expose `get_thing` and block write operations like `delete_thing`.

No, all operations run inside ephemeral V8 isolates that spin down immediately after execution. When your agent runs `get_thing`, the data is processed in real time and never cached on our servers. Your user data remains private and secure.

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