OpenRouteService MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect OpenRouteService through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"openrouteservice": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "OpenRouteService Agent",
instructions:
"You help users interact with OpenRouteService " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with OpenRouteService?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and OpenRouteService tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the OpenRouteService MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from OpenRouteService via MCP
Why Use Mastra AI with the OpenRouteService MCP Server
Mastra AI provides unique advantages when paired with OpenRouteService through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add OpenRouteService without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every OpenRouteService tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
OpenRouteService + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the OpenRouteService MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query OpenRouteService, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed OpenRouteService as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query OpenRouteService on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using OpenRouteService tools alongside other MCP servers
OpenRouteService MCP Tools for Mastra AI (10)
These 10 tools become available when you connect OpenRouteService to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting OpenRouteService to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOpenRouteService + Mastra AI FAQ
Common questions about integrating OpenRouteService MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
