How to Use the Flowise MCP in Google ADK

Q: Can I use Flowise with Google ADK for data processing?

Absolutely. Use predict to pass data from your cloud functions into a flow. The flow processes the input and returns the result to your agent.

Q: How does Google ADK discover Flowise tools?

The listtools function exposes the server's capabilities to your agent. It happens automatically when you register the toolset in your agent configuration.

Q: Can I manage Flowise credentials within Google ADK?

Use listcredentials to verify your server's access rights. This keeps your configuration centralized while providing your agent with the necessary visibility.

Integrate Google ADK with Flowise to trigger complex workflows and manage your agent flows from a single environment.

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Connect Flowise MCP to Google ADK

Create your Vinkius account to connect Flowise 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 Flowise with Google ADK

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Automate workflow execution in Google ADK

Call `predict` to execute your chatflows directly from your agent's decision loop. It bridges the gap between your cloud infrastructure and your low-code logic. Your agent sends the prompt, and the server returns the structured response. It keeps your code base focused on business logic rather than API maintenance.

Sync chatflow inventories with Google ADK

Use `list_chatflows` to pull your active workflows into your agent's registry. The integration ensures your agent knows exactly which endpoints are available for dynamic task routing. It turns your Flowise workspace into a set of callable functions. Your agent treats these workflows like native tools.

Validate tool availability via this MCP Server

Run `list_tools` to verify that your agent has the right permissions and access. This prevents runtime errors by checking the environment state before execution starts. It provides a clear view of your available toolkit. You see exactly which methods are ready for your agent to invoke.

Setup guide

Set up Flowise 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 Flowise 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="Flowise_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Flowise tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Flowise MCP in Google ADK

Absolutely. Use `predict` to pass data from your cloud functions into a flow. The flow processes the input and returns the result to your agent.

The `list_tools` function exposes the server's capabilities to your agent. It happens automatically when you register the toolset in your agent configuration.

It provides consistent response structures for every request. By auditing `get_history`, you maintain a record of every action your agent takes.

Your data is processed in a Vinkius sandbox and cleared after the session ends. We isolate your execution environment to ensure nothing leaks between tasks.

Use `list_credentials` to verify your server's access rights. This keeps your configuration centralized while providing your agent with the necessary visibility.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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