OpenRouteService 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 OpenRouteService 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="OpenRouteService Assistant",
instructions=(
"You help users interact with OpenRouteService. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from OpenRouteService"
)
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 OpenRouteService MCP Server
Unlock the full power of OpenRouteService from a single conversation. Calculate driving routes, generate reachability maps, solve vehicle routing problems, and geocode addresses — all backed by OpenStreetMap data.
The OpenAI Agents SDK auto-discovers all 10 tools from OpenRouteService through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries OpenRouteService, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Directions — Calculate optimal routes between multiple waypoints for car, bicycle, or pedestrian profiles with distance and duration
- Isochrones — Generate reachability polygons showing areas accessible within a given time or distance from any point
- Distance Matrix — Compute M×N duration and distance matrices between multiple origins and destinations
- VRP Optimization — Solve multi-vehicle routing problems with jobs, vehicles, and capacity constraints using the VROOM solver
- Geocoding — Forward and reverse geocode addresses using Pelias, with country boundary filters
- GPS Snap — Clean noisy GPS traces by snapping coordinates to the nearest road segment
- Elevation — Get altitude data for coordinate sequences using the elevation API
The OpenRouteService 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 OpenRouteService to OpenAI Agents SDK via MCP
Follow these steps to integrate the OpenRouteService 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 OpenRouteService
Why Use OpenAI Agents SDK with the OpenRouteService MCP Server
OpenAI Agents SDK provides unique advantages when paired with OpenRouteService 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
OpenRouteService + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the OpenRouteService MCP Server delivers measurable value.
Automated workflows: build agents that query OpenRouteService, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries OpenRouteService, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through OpenRouteService tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query OpenRouteService to resolve tickets, look up records, and update statuses without human intervention
OpenRouteService MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect OpenRouteService to OpenAI Agents SDK via MCP:
calculate_directions
Identify precise active arrays spanning native Road network points
calculate_isochrones
Inspect deep internal arrays mitigating specific Reachability lines
calculate_matrix
Enumerate explicitly attached structured rules exporting active M * N logs
check_optimization_status
Retrieve explicit Cloud logging tracing explicit Optimization jobs
geocode_search
Identify bounded routing spaces inside the Headless OpenRouteService
get_elevation_line
Provision a highly-available JSON Payload parsing accessible Altitude lines
reverse_geocode
Perform structural extraction of properties driving active OSM boundaries
search_country_boundary
country` fetching strings rigidly ignoring maps spanning outside target ISO boundaries. Irreversibly vaporize explicit validations extracting local search filters
snap_gps_to_road
Retrieve the exact structural matching verifying Map snapping limits
solve_vrp_optimization
Dispatch an automated validation check routing explicit VROOM solvers
Example Prompts for OpenRouteService in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OpenRouteService immediately.
"Calculate a driving route from Berlin to Munich with estimated time."
"Show me all areas reachable within 15 minutes by car from Times Square."
"Calculate the distance matrix between our 3 warehouses and 5 customer locations."
Troubleshooting OpenRouteService MCP Server with OpenAI Agents SDK
Common issues when connecting OpenRouteService to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
OpenRouteService + OpenAI Agents SDK FAQ
Common questions about integrating OpenRouteService 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 OpenRouteService 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 OpenRouteService to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.