Kavak MCP Server for OpenAI Agents SDK 14 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Kavak through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Kavak Assistant",
instructions=(
"You help users interact with Kavak. "
"You have access to 14 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kavak"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Kavak MCP Server
Connect to the Kavak platform from any AI agent and navigate Mexico's largest certified pre-owned vehicle marketplace through natural conversation.
The OpenAI Agents SDK auto-discovers all 14 tools from Kavak through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Kavak, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Vehicle Search — Browse thousands of certified pre-owned vehicles with filters for make, model, year, price range, and free-text queries
- 240-Point Inspection Reports — Access the detailed mechanical inspection results that every Kavak vehicle undergoes before listing
- Vehicle History — Check ownership count, accident records, service history, and legal status for any listed vehicle
- Trade-In Valuations — Get instant AI-powered buy-back offers for your current vehicle based on make, model, year, mileage, and condition
- Financing Calculator — View available credit plans across multiple terms (12-60 months) with different down payment scenarios
- Reservations & Test Drives — Reserve vehicles and schedule test drives at Kavak hubs across Mexico
- Market Intelligence — Query average prices, trends, and price ranges for any make/model/year in the Mexican used car market
The Kavak MCP Server exposes 14 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Kavak to OpenAI Agents SDK via MCP
Follow these steps to integrate the Kavak MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 14 tools from Kavak
Why Use OpenAI Agents SDK with the Kavak MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kavak through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Kavak + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kavak MCP Server delivers measurable value.
Automated workflows: build agents that query Kavak, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Kavak, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kavak tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kavak to resolve tickets, look up records, and update statuses without human intervention
Kavak MCP Tools for OpenAI Agents SDK (14)
These 14 tools become available when you connect Kavak to OpenAI Agents SDK via MCP:
create_reservation
Requires buyer contact details. The vehicle will be taken off the marketplace during the reservation period. Reserve a vehicle for purchase
estimate_trade_in
The estimate factors in make, model, year, mileage, condition, and current Mexican market prices. Get a trade-in value estimate for your current car
get_financing_options
Calculate financing plans for a vehicle
get_market_pricing
Get market pricing intelligence for a car model
get_reservation
Check the status of a vehicle reservation
get_vehicle
Get full details of a specific car
get_vehicle_history
Check the ownership and accident history of a car
get_vehicle_inspection
View the 240-point mechanical inspection report
list_locations
Each location includes its address, operating hours, available services (test drives, inspections, deliveries), and contact details. Find Kavak showroom locations
list_makes
List all available car manufacturers
list_models
List models available for a specific make
list_reservations
List all your active reservations
schedule_test_drive
Kavak also offers home test drives in select cities where the vehicle is delivered to the buyer's address. Schedule a test drive for a vehicle
search_vehicles
All vehicles listed on Kavak come with a 240-point mechanical inspection and Kavak warranty. Search available used cars in the Kavak inventory
Example Prompts for Kavak in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kavak immediately.
"Find me Toyota Corollas from 2020-2023 under $350,000 MXN."
"What would Kavak offer me for my 2019 Nissan Sentra with 85,000 km?"
"Show financing options for vehicle ID KV-88201 with a $50,000 MXN down payment."
Troubleshooting Kavak MCP Server with OpenAI Agents SDK
Common issues when connecting Kavak to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kavak + OpenAI Agents SDK FAQ
Common questions about integrating Kavak MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Kavak with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kavak to OpenAI Agents SDK
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.