How to Use the Chatsistant MCP in Google ADK

Q: Can I filter which Chatsistant tools my Google ADK agent sees?

Use the toolnames argument within your McpToolset configuration. This restricts the agent to only the functions you explicitly define.

Q: How do I check Chatsistant webhooks with Google ADK?

Simply invoke the listwebhooks tool. Your agent will receive a list of all active triggers configured for your bot fleet.

Bring Chatsistant intelligence into Google ADK pipelines for enterprise-grade agent logic on Google Cloud infrastructure.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Chatsistant MCP to Google ADK

Create your Vinkius account to connect Chatsistant 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 Chatsistant with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query bot knowledge using Google ADK

Execute `query_bot` to let your Gemini-powered agent pull answers from your custom knowledge base. It uses the long-context window to reason over your specific client data. `list_data_sources` shows you exactly what files or links the bot currently holds. You can monitor the content pool that informs your agent's reasoning.

Monitor bot interactions with Google ADK

Fetch historical logs with `get_conversation` to analyze how your assistants perform. This allows your agent to compare current outputs against past client interactions. `list_conversations` filters your logs by bot ID. It helps your agent keep track of specific threads without scanning your entire database.

Manage bot fleets through Google ADK

Use `list_bots` to maintain a directory of all your white-label assistants. Your agent can iterate through this list to perform batch updates or health checks. Call `get_bot` to pull the metadata for a specific unit. You'll have the exact settings needed to verify your agent is addressing the correct client.

Setup guide

Set up Chatsistant 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 Chatsistant 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="Chatsistant_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Chatsistant 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 Chatsistant. 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 Chatsistant 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 Chatsistant MCP in Google ADK

You instantiate the McpToolset class using your server's HTTP URL. Then, pass this object into your LlmAgent toolset list to start executing commands.

Use the tool_names argument within your McpToolset configuration. This restricts the agent to only the functions you explicitly define.

The framework treats these tools like any other cloud function. If a tool fails, the agent receives a standard exception you can catch in your Python logic.

Simply invoke the `list_webhooks` tool. Your agent will receive a list of all active triggers configured for your bot fleet.

Data access is restricted to the scope of your endpoint token. We enforce strict transport security so your conversation logs remain private to your Google Cloud environment.

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