How to Use the MapQuest MCP in Vercel AI SDK

Q: How do I stream MapQuest routing steps using Vercel AI SDK?

Pass the getdirections tool from the MapQuest MCP Server into Vercel AI SDK's streamText. Your Next.js frontend reads the MapQuest routing arguments as they stream, allowing you to render the route before the text finishes generating.

Q: Can I use MapQuest static maps inside Vercel AI SDK edge runtime?

Yes, the getstaticmapurl tool returns a direct MapQuest image link that works perfectly in Vercel AI SDK edge environments. Since the Vercel AI SDK is fully compatible with Edge Functions, you can fetch MapQuest URLs without cold-start delays.

Q: How do I handle reverse geocoding with MapQuest and Vercel AI SDK?

Use the reversegeocode tool to turn coordinates into physical addresses inside your Vercel AI SDK agent's system prompt. Your Vercel AI SDK stream can then output the human-readable MapQuest address directly to the user's chat window.

Q: How do I close the MapQuest MCP connection in my Next.js API route?

When using Vercel AI SDK, always call mcpClient.close() at the end of your MapQuest request lifecycle. This prevents hanging HTTP connections in your Next.js serverless functions while querying MapQuest.

Pipe MapQuest routes and coordinates directly into your Vercel AI SDK frontend without loading spinners.

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Setup MapQuest with Vercel AI SDK

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Render MapQuest maps instantly in Vercel AI SDK

The `get_static_map_url` tool fetches visual map URLs that your Vercel AI SDK UI renders the second your agent requests them. Instead of waiting for a full payload to resolve, your Next.js application displays the MapQuest image link dynamically while the rest of the text streams. You pass this MapQuest tool directly to the Vercel AI SDK `streamText` function and let the client render the map on the fly. Users get immediate visual coordinates from MapQuest without staring at a blank loading spinner.

Edge-ready MapQuest geocoding with this MCP Server

The `geocode_address` tool converts user-entered text into precise latitude and longitude coordinates directly inside your Vercel AI SDK Edge Functions. Because this MapQuest MCP Server runs on lightweight infrastructure, your edge-rendered application processes location lookups with minimal latency. Your Vercel AI SDK app can instantly resolve typos in user addresses by matching MapQuest coordinates during checkout. By combining this geocoding tool with the SDK's streaming capabilities, you show corrected address suggestions as the user types.

Stream MapQuest driving directions directly to the user

The `get_directions` tool calculates driving, walking, or cycling routes and sends the raw MapQuest coordinates directly to your Vercel AI SDK stream. Your React UI parses these steps on the fly, rendering MapQuest directional arrows while the agent explains the route. This Vercel AI SDK setup prevents the typical delay associated with heavy backend MapQuest API calls. Your users watch the route build out in real time, making the entire MapQuest navigation experience feel instantaneous.

Setup guide

Set up MapQuest MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all MapQuest tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent MapQuest transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about MapQuest MCP in Vercel AI SDK

Pass the `get_directions` tool from the MapQuest MCP Server into Vercel AI SDK's `streamText`. Your Next.js frontend reads the MapQuest routing arguments as they stream, allowing you to render the route before the text finishes generating.

Yes, the `get_static_map_url` tool returns a direct MapQuest image link that works perfectly in Vercel AI SDK edge environments. Since the Vercel AI SDK is fully compatible with Edge Functions, you can fetch MapQuest URLs without cold-start delays.

Use the `reverse_geocode` tool to turn coordinates into physical addresses inside your Vercel AI SDK agent's system prompt. Your Vercel AI SDK stream can then output the human-readable MapQuest address directly to the user's chat window.

When using Vercel AI SDK, always call `mcpClient.close()` at the end of your MapQuest request lifecycle. This prevents hanging HTTP connections in your Next.js serverless functions while querying MapQuest.

Your coordinates and address search queries sent via Vercel AI SDK go directly to MapQuest through our secure sandbox. No location history from your Vercel AI SDK app is saved on our servers, keeping your users' physical movements private.

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