How to Use the Kavak MCP in AutoGen
Deploy AutoGen agents to debate vehicle selections and manage Kavak reservations using this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kavak MCP to AutoGen
Create your Vinkius account to connect Kavak 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 vehicle condition with AutoGen agents
`get_vehicle_inspection` brings the 240-point mechanical breakdown into your multi-agent conversation. You can set up one AutoGen agent as a cynical mechanic and another as a value-focused buyer. They will argue over the inspection checklist before agreeing to recommend the car. This prevents your system from pitching lemons to actual buyers.
Coordinate financing plans via this MCP Server
`get_financing_options` spits out monthly payment plans based on the car's price. This MCP Server allows your agents to negotiate different down payments and interest rates in a multi-turn chat. The finance agent matches these terms against the buyer's budget limits. They won't hand off the deal until the math works for both sides.
Manage the reservation flow autonomously
`create_reservation` locks the car and pulls it off the active marketplace. Your AutoGen coordinator agent triggers this hold only after the sales and finance agents sign off on the deal. If the research agent flags an accident history using `get_vehicle_history`, the group halts the purchase. This dynamic workflow stops bad deals before any money changes hands.
Set up Kavak 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 Kavak 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="Kavak_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Kavak 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="Kavak_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Kavak 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 Kavak. 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 Kavak MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Kavak MCP today
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