MapQuest MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MapQuest 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 MapQuest, 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 MapQuest MCP Server
Connect your AI agent to MapQuest, one of the pioneers in online mapping. This integration provides essential geographic tools, from converting addresses to coordinates to calculating detailed travel routes.
The Vercel AI SDK gives every MapQuest tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Geocoding — Convert street addresses into precise latitude and longitude coordinates
- Reverse Geocoding — Identify the human-readable address for any GPS coordinate
- Detailed Directions — Get turn-by-turn routing for driving, walking, or cycling, including distance and time estimates
- POI Search — Find nearby businesses and points of interest like restaurants, gas stations, or parks
- Static Maps — Generate URLs for visual map images centered on any location
The MapQuest MCP Server exposes 5 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 MapQuest to Vercel AI SDK via MCP
Follow these steps to integrate the MapQuest 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 5 tools from MapQuest and passes them to the LLM
Why Use Vercel AI SDK with the MapQuest MCP Server
Vercel AI SDK provides unique advantages when paired with MapQuest 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 MapQuest integration everywhere
Built-in streaming UI primitives let you display MapQuest 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
MapQuest + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the MapQuest MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query MapQuest in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate MapQuest tools and return structured JSON responses to any frontend
Chatbots with tool use: embed MapQuest capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with MapQuest through natural language queries
MapQuest MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect MapQuest to Vercel AI SDK via MCP:
geocode_address
Convert an address into geographic coordinates (latitude and longitude)
get_directions
Get driving, walking, or cycling directions between two locations
get_static_map_url
Generate a static map image URL for a specific location
reverse_geocode
Convert geographic coordinates (latitude and longitude) into a human-readable address
search_points_of_interest
Search for specific places (restaurants, gas stations, etc.) around a location
Example Prompts for MapQuest in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MapQuest immediately.
"What are the coordinates for the White House?"
"Get driving directions from New York to Philadelphia."
Troubleshooting MapQuest MCP Server with Vercel AI SDK
Common issues when connecting MapQuest to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMapQuest + Vercel AI SDK FAQ
Common questions about integrating MapQuest 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 MapQuest 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 MapQuest to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.