How to Use the Route4Me MCP in OpenAI Agents SDK
Deploy production-grade logistics agents with OpenAI Agents SDK and the Route4Me MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Route4Me MCP to OpenAI Agents SDK
Create your Vinkius account to connect Route4Me to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Sync Address Books Safely
`get_addresses` pulls your entire delivery database into your agent's context window. Your agent runs these locations against your active orders, then uses `create_address` or `update_address` to fix typos or outdated drop-off coordinates before dispatch. The OpenAI Agents SDK handles these actions with built-in validation guardrails. You define the exact schema constraints, and the SDK stops bad coordinates from ever hitting the Route4Me API.
Auto-Discover Routes with OpenAI Agents SDK
`get_routes` exposes your active fleet paths directly to your agent system. The agent inspects driver schedules, retrieves live coordinates, and uses `get_route` to isolate delays on specific streets. Because OpenAI Agents SDK uses auto-discovery, you do not write manual tool schemas. Just stream the connection, and the agent instantly knows how to query optimization histories using `get_optimizations`.
Coordinate Drivers and Vehicles via MCP Server
`get_vehicles` and `get_users` map your active drivers to their registered trucks. Your agent reads this fleet list to assign incoming emergency pickups to the closest vehicle. Handoffs between specialized agents keep this process clean. One agent monitors the fleet, while another updates the database with `update_address` when a customer changes their delivery window.
Set up Route4Me MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Route4Me tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Route4Me tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Route4Me tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Route4Me Agent",
instructions="You have access to Route4Me tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Route4Me. 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 Route4Me MCP in OpenAI Agents SDK
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