How to Use the HERE (Location & Maps) MCP in Vercel AI SDK
Build live mapping applications with Vercel AI SDK by streaming HERE location data straight to your React frontend.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HERE (Location & Maps) MCP to Vercel AI SDK
Create your Vinkius account to connect HERE (Location & Maps) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Live Geocoding and Search
Geocoding and search tools like `forward_geocode` and `autosuggest_query` convert raw text into precise map coordinates. When users type an address into your Next.js search bar, your agent hits the HERE API and streams the exact latitude and longitude back to the client. No loading spinners block the user experience. You just call the tools and pass the results to the stream function. The UI updates instantly as `discover_places` pulls point-of-interest categories around those coordinates.
Routing Matrix and Traffic MCP Server
Calculating multi-node delivery paths requires `calculate_routing_matrix` to process complex JSON payloads. Your agent evaluates origin and destination pairs, building a matrix that accounts for real-time congestion. Instead of waiting for a massive background job, the agent checks `get_traffic_flow` using a bounding box. The frontend gets the delivery flow speeds piped through the connection exactly when the calculation finishes.
Isoline Polygons and Weather Data
Reachability boundaries generated by `calculate_v8_isoline` define exactly where a driver can travel within a set time limit. You map out a 15-minute drive radius from a warehouse, and the agent returns a massive polygon array. Combine that with `get_weather_observation`. The MCP server streams active meteorology conditions for that exact polygon. If a storm hits the northern edge, your UI renders the updated delivery zones live.
Set up HERE (Location & Maps) MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 HERE (Location & Maps) tools. Pass them directly togenerateText()orstreamText()— 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.
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 HERE (Location & Maps) transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HERE Technologies. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about HERE (Location & Maps) MCP in Vercel AI SDK
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