How to Use the AskHandle MCP in Google ADK
Connect AskHandle to your Google ADK pipelines via this MCP Server to sync customer chat rooms and leads with BigQuery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AskHandle MCP to Google ADK
Create your Vinkius account to connect AskHandle 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.
Analyze long chat histories with Google ADK
The `list_messages` tool pulls raw conversation logs from your AskHandle rooms directly into Gemini's massive context window. Because Google ADK handles up to a million tokens, your agent can read entire chat histories to find recurring customer issues. This gives your Vertex AI models the full context of a customer's journey before drafting a response. The agent then writes its reply back to the live room using `send_message`.
Feed AskHandle lead data into BigQuery tables
The `list_leads` tool extracts your complete directory of captured prospects so your Google ADK agent can sync them with enterprise databases. You can feed this data directly into BigQuery to run SQL analytics on your conversion rates. When your pipeline flags a new high-value contact, the agent calls `create_lead` to write them back to AskHandle. The entire process runs on secure Google Cloud infrastructure via HTTP transport.
Control tool access in this Google ADK MCP Server
The `get_me` tool verifies your AskHandle connection and checks your account context before running any automated support actions. Before running any automated support actions, the agent queries this MCP Server configuration. If you only want your agent to monitor rooms, you can filter the toolset to only expose `list_rooms` and `retrieve_room`. This keeps your automated workflows safe and predictable.
Set up AskHandle MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 AskHandle tools in your ADK agent.
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="AskHandle_agent",
model="gemini-2.0-flash",
instruction="You have access to AskHandle 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 AskHandle. 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 AskHandle MCP in Google ADK
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