GraphHopper 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 GraphHopper through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 GraphHopper, 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 GraphHopper MCP Server
Connect your GraphHopper account to any AI agent and take full control of your geospatial routing, geocoding, and fleet optimization through natural conversation.
The Vercel AI SDK gives every GraphHopper tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through 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
- Route Orchestration — Calculate optimal routes between multiple GPS stops, identifying precise asynchronous directions and time calculations bypassing URL length limits natively
- Geocoding discovery — Extract explicitly attached REST arrays targeting
/geocodeto translate human-readable addresses into precise LatLon coordinates for spatial analysis - Reverse Geocoding — Perform structural extraction of properties matching GPS pins exactly against named physical streets to verify localized entity bounds flawlessly
- Routing Matrix Calculation — Generate N x M arrays of travel times and distances to analyze complex grid logistics and distance tables between multiple points synchronously
- Isochrone Reachability — Identify precisely the boundary reachable in a specific time limit from a starting point, defining reachability polygons for site selection or delivery zones
- VRP Optimization — Command explicit JSON targets firing Traveling Salesman configs for multiple vehicles, checking time windows and capacity constraints to solve complex logistics synchronously
- Map Matching Auditing — Validate API logic correcting imprecise GPS jumps by snapping raw GPX tracks perfectly onto street vectors limitlessly
The GraphHopper 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 GraphHopper to Vercel AI SDK via MCP
Follow these steps to integrate the GraphHopper 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 GraphHopper and passes them to the LLM
Why Use Vercel AI SDK with the GraphHopper MCP Server
Vercel AI SDK provides unique advantages when paired with GraphHopper 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 GraphHopper integration everywhere
Built-in streaming UI primitives let you display GraphHopper 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
GraphHopper + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GraphHopper MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GraphHopper in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GraphHopper tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GraphHopper capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GraphHopper through natural language queries
GraphHopper MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect GraphHopper to Vercel AI SDK via MCP:
calculate_distance_isochrone
Provision a highly-available JSON Payload generating physical borders
calculate_heavy_route
Identify precise active arrays spanning native multi-stop geometries
calculate_reachability_polygon
Enumerate explicitly attached structured rules exporting active Reachability
calculate_routing_matrix
Inspect deep internal arrays mitigating specific Math tables
calculate_url_route
Retrieve explicit Cloud logging tracing explicit lightweight Directions
poll_vrp_solution
Retrieve the exact structural matching verifying Delivery alternatives
reverse_geocode
Perform structural extraction of properties driving active OSM bindings
search_geocode
Identify bounded routing spaces inside the Headless GraphHopper Engine
snap_gpx_to_road
Irreversibly vaporize explicit validations extracting GPX logic natively
submit_vrp_optimizer
Dispatch an automated validation check routing explicit jsprit solves
Example Prompts for GraphHopper in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GraphHopper immediately.
"Calculate a car route between '40.71, -74.00' and '40.75, -73.98'"
"Show me the 10-minute reachability zone from central Berlin"
"Reverse geocode these coordinates: '48.85, 2.35'"
Troubleshooting GraphHopper MCP Server with Vercel AI SDK
Common issues when connecting GraphHopper to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGraphHopper + Vercel AI SDK FAQ
Common questions about integrating GraphHopper 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 GraphHopper 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 GraphHopper to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.