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How to Use the Ask Kodiak MCP in CrewAI

Deploy teams of autonomous insurance agents with CrewAI to research carriers and classify risks.

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CrewAI

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.

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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.

Setup guide

Set up Ask Kodiak MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Ask Kodiak tools as needed.

crew.py
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)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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

You add your Vinkius URL directly to the agent's `mcps` list during initialization. CrewAI automatically discovers all 7 tools and makes them available to the agent for autonomous execution.
Yes. Use `MCPServerHTTP` from the `crewai.mcp` package and apply a `tool_filter` to expose only specific tools, like keeping `get_account_check` hidden from research agents.
CrewAI agents use shared memory to pass context. When one agent runs `list_products`, the resulting commercial insurance products are instantly accessible to other agents in the crew for further analysis.
The server supports stdio, SSE, and Streamable HTTP transports, allowing your Python-based CrewAI team to connect reliably over whatever network topology your infrastructure requires.
No. All risk classifications and NAICS lookup data are processed inside secure, zero-trust V8 isolates. The Vinkius platform handles the connection securely and never retains your insurance search parameters.

Start using the Ask Kodiak MCP today

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