OptimoRoute MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OptimoRoute through 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="OptimoRoute Assistant",
instructions=(
"You help users interact with OptimoRoute. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from OptimoRoute"
)
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 OptimoRoute MCP Server
Connect your OptimoRoute account to any AI agent and orchestrate your entire route planning workflow from a single conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from OptimoRoute through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OptimoRoute, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Order Management — Create delivery orders with addresses, time windows, and capacity constraints. Delete stale orders before they get routed
- Route Optimization — Queue route planning jobs with specific dates and driver sets, then check solver status or abort long-running computations
- Route Downloads — Download finalized manifest routes showing every optimized stop assigned to each driver
- Scheduling Info — Look up exactly when and where a specific order was scheduled within the optimized plan
- Proof of Delivery — Retrieve completion details including driver signatures, photos, and notes for verification
- Live GPS Tracking — Get real-time GPS coordinates for any driver in your fleet
- Driver Configuration — Update working hours, speed profiles, and load capacities for your drivers
The OptimoRoute MCP Server exposes 10 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 OptimoRoute to OpenAI Agents SDK via MCP
Follow these steps to integrate the OptimoRoute 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 10 tools from OptimoRoute
Why Use OpenAI Agents SDK with the OptimoRoute MCP Server
OpenAI Agents SDK provides unique advantages when paired with OptimoRoute 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
OptimoRoute + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the OptimoRoute MCP Server delivers measurable value.
Automated workflows: build agents that query OptimoRoute, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries OptimoRoute, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through OptimoRoute tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query OptimoRoute to resolve tickets, look up records, and update statuses without human intervention
OptimoRoute MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect OptimoRoute to OpenAI Agents SDK via MCP:
abort_route_planning
Inspect deep internal arrays mitigating specific Time constraints
check_planning_status
Identify precise active arrays spanning native Asynchronous bounds
create_route_order
Identify bounded routing spaces inside the Headless OptimoRoute platform
delete_stale_order
Perform structural extraction of properties driving active Deletions
download_manifest_routes
Enumerate explicitly attached structured rules exporting active Drivers
get_live_driver_gps
Irreversibly vaporize explicit validations extracting Telemetry natively
get_order_pod
Retrieve the exact structural matching verifying Delivery success Proof
get_order_scheduling
Dispatch an automated validation check routing explicit ETA models
queue_route_optimization
Retrieve explicit Cloud logging tracing explicit solver logic
update_driver_shifts
Provision a highly-available JSON Payload generating Truck constraints
Example Prompts for OptimoRoute in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OptimoRoute immediately.
"Create a delivery order for 200 Main St, Boston with a 2-hour time window from 9 AM to 11 AM."
"Start route optimization for tomorrow with drivers D1, D2, and D3."
"Where is driver D2 right now?"
Troubleshooting OptimoRoute MCP Server with OpenAI Agents SDK
Common issues when connecting OptimoRoute to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
OptimoRoute + OpenAI Agents SDK FAQ
Common questions about integrating OptimoRoute 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 OptimoRoute 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 OptimoRoute to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.