How to Use the Ask Kodiak MCP in CrewAI
Deploy teams of autonomous insurance agents with CrewAI to research carriers and classify risks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ask Kodiak MCP to CrewAI
Create your Vinkius account to connect Ask Kodiak to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-agent market placement with CrewAI
The `list_products` tool enables your research agent to scan the market for commercial insurance policies. A second analysis agent then takes those results and uses `get_product` to check detailed appetite rules for each carrier. CrewAI coordinates this handoff using shared memory, so the analyzing agent knows exactly which products the research agent found without repeating the search. This setup keeps your automated underwriting pipeline fast and accurate.
Automated risk classification via MCP Server
The `suggest_naics` tool allows a classification agent to translate plain text business descriptions into standardized codes. Once the code is established, a placement agent uses `list_classifications` to find the corresponding carrier-specific classes. You can restrict tool access by using `MCPServerHTTP` with a `tool_filter`. This ensures your classification agent only sees classification tools, while keeping account management tools hidden.
Continuous carrier appetite monitoring
The `get_company_products` tool allows an auditing agent to pull the entire product line of specific carriers. The agent cross-references this with `list_companies` to identify new market opportunities or appetite shifts. Running this on a hierarchical crew lets a manager agent oversee the process. If a change is detected, the manager agent directs a writer agent to draft an update for your underwriting team.
Set up Ask Kodiak MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Ask Kodiak tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Ask Kodiak Analyst",
goal="Access and analyze Ask Kodiak data via MCP.",
backstory="Expert analyst with direct Ask Kodiak access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Ask Kodiak transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Ask Kodiak Analyst",
goal="Access and analyze Ask Kodiak data via MCP.",
backstory="Expert analyst with direct Ask Kodiak access.",
tools=mcp_tools,
)
task = Task(
description="List recent Ask Kodiak transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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.
Why Choose Vinkius
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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 Ask Kodiak MCP in CrewAI
Use it with your favorite AI tools
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