Compatible with every major AI agent and IDE
What is the Route4Me MCP Server?
What you can do
- Route Optimizations: Analyze and extract reports generated by your VRP algorithms.
- Address Book Management: Create or delete customer addresses on the fly.
- Vehicle Tracking: Read current available fleet.
How it works
- Sign up for a Route4Me account.
- Navigate to your Developer/API settings to copy your API Token.
- Insert your API Key directly into Vinkius vault.
Who is this for?
Perfect for logistics managers and transportation analysts aiming to extract reporting data through AI conversational interfaces without dealing with CSV exports.
Built-in capabilities (10)
Send details as a stringified JSON object. Create a new address in Route4Me
Delete an address
Get an address by ID
List addresses from your Route4Me address book
Get an optimization history
Get a route by ID
List existing vehicle routes
List associated users/drivers
List registered vehicles
Update an existing address
Why Vercel AI SDK?
The Vercel AI SDK gives every Route4Me 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.
- —
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 Route4Me integration everywhere
- —
Built-in streaming UI primitives let you display Route4Me 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
Route4Me in Vercel AI SDK
Route4Me and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Route4Me to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Route4Me in Vercel AI SDK
The Route4Me 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Route4Me for Vercel AI SDK
Every tool call from Vercel AI SDK to the Route4Me MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can the agent trigger a new algorithm calculation?
Currently, the agent is restricted to retrieving existing optimization histories and reading paths to ensure API limits are protected. Address book creations are however supported.
Is the API key secure across requests?
Yes. The API key is securely appended to standard HTTPS queries locally during execution time.
What addresses are retrieved from the book?
The tool fetches the most recent addresses but allows passing a dynamic parameter to iterate through larger chunks of your system.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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