How to Use the ChatFly MCP in Google ADK

Connect ChatFly to your Google ADK infrastructure to manage lead qualification across your enterprise cloud environment.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ChatFly MCP to Google ADK

Create your Vinkius account to connect ChatFly 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.

GDPR Free for Subscribers

Setup ChatFly with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Scale bot operations with Google ADK

Use `create_bot` to generate specialized support agents within your Google ADK workflow. You name the bot and set the tone for incoming leads. This architecture keeps your bot lifecycle tied to your cloud agent lifecycle. You manage everything through standard tool calls.

Knowledge injection for Google ADK agents

Push proprietary data to your bots using `upload_data_source`. Your Google ADK agent acts as the bridge between your BigQuery data and the ChatFly bot memory. Check what's loaded by calling `list_data_sources` before performing updates. It keeps your bot responses accurate to your current product specs.

Dynamic bot control in Google ADK

Modify bot configurations on the fly with `update_bot` when your business logic shifts. The change propagates across your Google ADK agent network instantly. Use `get_bot` to pull specific details when you need to verify a bot's current setup. It provides the granular control needed for enterprise deployments.

Setup guide

Set up ChatFly 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 ChatFly 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="ChatFly_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ChatFly 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 ChatFly. 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.

Connect ChatFly now

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 ChatFly MCP in Google ADK

Initialize the McpToolset with your Vinkius server URL. Pass this into your LlmAgent configuration to make the bot tools available for your cloud workflows.

They are designed for low-latency calls. You can filter the tools using the tool_names argument in your Google ADK setup to keep your agent's context window clean.

Yes. The server handles concurrent requests from your agents. You can manage hundreds of bots simultaneously by calling the relevant tools through your main orchestrator.

Not at all. The MCP transport is lightweight and runs as a separate process. Your agent only triggers the tools when it needs to create or update a bot.

All data stays within the secure Vinkius sandbox. Your agent only sees the metadata it requests, ensuring no raw lead info leaks into your broader cloud logs.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript