How to Use the Ask Kodiak MCP in Google ADK
Give your Google ADK agents direct access to Ask Kodiak commercial insurance markets via this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ask Kodiak MCP to Google ADK
Create your Vinkius account to connect Ask Kodiak 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.
Ground Gemini in real insurance appetite
Large language models invent insurance policies when they lack context. Connecting this MCP Server to your Google ADK setup fixes that. Your agent calls `list_products` to pull actual, current commercial insurance offerings directly into Gemini's context window. It scales perfectly with Google Cloud. You pass `McpToolset` into your `LlmAgent` and Gemini starts matching business risks to carrier appetite. The system uses `suggest_naics` to classify the business before looking for coverage.
Cross-reference BigQuery with Ask Kodiak
Enterprise brokers already have client data sitting in BigQuery. Now your agent can read a client profile from your database and immediately run `get_company_products` to find matching carriers. The integration happens natively within your Vertex AI pipeline. You filter out the noise. If your agent only needs specific tools, you apply a `tool_names` filter in the ADK to restrict access. It might only expose `list_classifications` to a junior underwriting agent.
Deep dive into carrier details
Gemini's massive 1M+ token context window changes how you handle insurance data. Your agent can run `get_product` across dozens of policies simultaneously. It dumps the full appetite details into context and reasons across all of them at once. Setup requires just a few lines of Python. You configure `StreamableHttpServerParameters` with your Vinkius URL. The agent verifies its connection via `get_account_check` and gets to work finding markets.
Set up Ask Kodiak 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 Ask Kodiak 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="Ask Kodiak_agent",
model="gemini-2.0-flash",
instruction="You have access to Ask Kodiak 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 Ask Kodiak. 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 Ask Kodiak MCP in Google ADK
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