How to Use the Ask Kodiak MCP in AutoGen
Let AutoGen agents debate and find the best commercial insurance coverage from Ask Kodiak's data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ask Kodiak MCP to AutoGen
Create your Vinkius account to connect Ask Kodiak to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Debate Carrier Options
Set up two agents with different goals. One agent's job is to find the broadest coverage by calling `list_products` and `get_product`. A second, more conservative agent, can use `list_companies` to prioritize carriers you already have a relationship with. They'll discuss the findings in a group chat. The first agent might propose a new product, while the second agent challenges it, forcing a consensus on the best option based on the goals you gave them.
Converge on the Right Classification
Finding the right NAICS code for a niche business is hard. One AutoGen agent can use `suggest_naics` with a broad query, while another uses `list_classifications` with a more specific one. The agents then present their findings to each other. They can debate which classification is a better fit, asking for more details until they agree on the code that best represents the business risk before they even start searching for products.
Multi-Agent Research with an MCP Server
This MCP server equips your agents with the tools to interact with the Ask Kodiak database. You can create a `ResearcherAgent` that uses `list_products` and a `VerifierAgent` that double-checks details with `get_product`. AutoGen orchestrates the conversation between them. The researcher proposes a product, the verifier confirms it covers the client's industry, and a `UserProxyAgent` presents you with the final, validated recommendation.
Set up Ask Kodiak MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Ask Kodiak tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Ask Kodiak_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Ask Kodiak data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Ask Kodiak_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Ask Kodiak data")
print(result.messages[-1].content) 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 AutoGen
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