OpenRouteService MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OpenRouteService through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using OpenRouteService, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every OpenRouteService tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the OpenRouteService MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from OpenRouteService and passes them to the LLM
Why Use Vercel AI SDK with the OpenRouteService MCP Server
Vercel AI SDK provides unique advantages when paired with OpenRouteService through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same OpenRouteService integration everywhere
Built-in streaming UI primitives let you display OpenRouteService tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
OpenRouteService + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the OpenRouteService MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query OpenRouteService in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate OpenRouteService tools and return structured JSON responses to any frontend
Chatbots with tool use: embed OpenRouteService capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with OpenRouteService through natural language queries
OpenRouteService MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect OpenRouteService to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting OpenRouteService to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpenRouteService + Vercel AI SDK FAQ
Common questions about integrating OpenRouteService MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.