Can the agent calculate walking paths across multiple floors?

Yes. When triggering `calculate_path` supplied with explicit coordinate pairings spanning different Level UUIDs, the Pointr engine bridges the wayfinding automatically. It factors in fixed transitions like elevators or stairs natively, feeding the Agent the comprehensive turn-by-turn array in JSON format seamlessly.

Is it possible to extract the giant raw map shapes for a given floor?

Absolutely. By initiating the query `get_level_map` tied securely to a single level UUID, the interface processes and downloads massive explicit geometries mapping out physical walls, traversable space nodes, and internal partitions explicitly generated by the Pointr pipeline.

Can I search for specific stores or bathrooms using text queries?

Yes. Pointr exposes dense fuzzy logic matching indexes. When the Agent executes `search_pois` feeding a literal keyword alongside the Target Building ID, it reliably unearths precisely mapped nodes conforming to 'Restroom', 'Exit', or custom store names embedded dynamically.

Pointr MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Name: Pointr
Availability: InStock
Author: Vinkius

ai-sdk.dev/docs/ai-sdk-core/mcp

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pointr through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

typescript

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 Pointr, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* 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 Pointr MCP Server

Bring deep indoor location intelligence directly to your AI operations using the Pointr network. This MCP integration securely bridges your LLM to complex structural databases plotting multi-floor layouts, indoor geo-fencing, and Bluetooth Low Energy (BLE) beacon networks. Instead of navigating complicated dashboards to audit facility paths, simply instruct your local Agent to parse physical building parameters perfectly.

The Vercel AI SDK gives every Pointr 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

Facility Exploration — Understand global deployments natively. Run list_buildings and list_levels to mathematically visualize vertical architectures and floor limits.
Precision Wayfinding — Query active Point of Interest objects. The agent leverages search_pois to find specific gates/stores, and dynamically invokes calculate_path predicting multi-floor walking paths avoiding structural walls.
Infrastructure Auditing — Ask the AI to evaluate BLE hardware mesh footprints using the list_beacons utility, verifying precisely where physical network sensors reside inside map geometries.
Geo-Fence Parsing — Interrogate proactive indoor trigger zones. list_geofences brings back complex logical polygons mapping where local alerts fire globally.

The Pointr 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 Pointr to Vercel AI SDK via MCP

Follow these steps to integrate the Pointr 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 Pointr and passes them to the LLM

Why Use Vercel AI SDK with the Pointr MCP Server

Vercel AI SDK provides unique advantages when paired with Pointr 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 Pointr integration everywhere

Built-in streaming UI primitives let you display Pointr 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

Pointr + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Pointr MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Pointr in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Pointr tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Pointr capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Pointr through natural language queries

Pointr MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Pointr to Vercel AI SDK via MCP:

calculate_path

Calculate the optimal indoor wayfinding path between two points

get_building

Retrieve detailed configuration for a specific Pointr building

get_level_map

Retrieve the floor plan map data for a specific building level

get_poi

Retrieve detailed information for a specific Pointr POI

list_beacons

List all BLE beacons deployed and registered in the Pointr platform

list_buildings

List all buildings registered in the Pointr indoor intelligence platform

list_geofences

List all indoor geofences configured in the Pointr platform

list_levels

List all floor levels for a specific Pointr building

list_pois

List all Points of Interest (POIs) registered in the Pointr platform

search_pois

Search for indoor Points of Interest by keyword

Example Prompts for Pointr in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Pointr immediately.

"List all active building deployments registered in our Pointr instance."

"Search for all restrooms securely listed under building ID `b1b2-c3c4`."

"Calculate indoor path from POI `poi_origin` to `poi_destination`."

Troubleshooting Pointr MCP Server with Vercel AI SDK

Common issues when connecting Pointr to Vercel AI SDK through the Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Pointr + Vercel AI SDK FAQ

Common questions about integrating Pointr MCP Server with Vercel AI SDK.

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.