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Connect Pointr to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn complex building layouts into actionable spatial data for your agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Pointr.

  1. 01

    Get building

    This capability pulls the full configuration for a specific building in the Pointr network.

  2. 02

    Get level map

    Use this to grab the specific floor plan data for a single level within a building.

  3. 03

    Get poi

    This capability retrieves detailed data for a specific Point of Interest.

  4. 04

    Calculate path

    This capability computes the best indoor walking route between two points, accounting for floor changes.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Pointr.

  1. 05

    List beacons

    This capability provides a list of all BLE beacons currently registered in the platform.

  2. 06

    List buildings

    Use this to see every building currently managed in the Pointr system.

  3. 07

    List geofences

    This capability returns all configured indoor geofences and their logical boundaries.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Pointr.

  1. 08

    List levels

    This capability lists all the different floor levels available in a specific building.

  2. 09

    List pois

    This capability retrieves a list of all registered Points of Interest.

  3. 10

    Search pois

    Use this to find specific indoor locations using keywords.

Real work

What teams actually run

01

Hardware Health Checks

An agent compares the list of active beacons against the expected floor map to identify coverage gaps.

02

Crowd Flow Simulation

Planners use the pathing capability to test how people move between specific gates or stores.

03

Automated Wayfinding

An AI client provides precise walking directions to users by querying real-time floor data.

04

Geofence Verification

Engineers check the logical boundaries of trigger zones to ensure they align with the physical layout.

Automate a task

Put Pointr to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Pointr works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Pointr to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Pointr, so you can see the experience inside your AI.

It does not authenticate your account with Pointr. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Pointr Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_C80UHAWpnSofumPbQSlydWBY9PDBa9Vt5avQGQhi/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Pointr capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pointr-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_C80UHAWpnSofumPbQSlydWBY9PDBa9Vt5avQGQhi/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Pointr in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Pointr owners hand off.

This MCP is built for professionals managing large-scale physical environments who need to automate spatial data tasks.

  • 01

    Facilities Managers

    They use the agent to cross-reference beacon locations against floor maps to find offline hardware.

  • 02

    Spatial Data Engineers

    They command the agent to extract layout configurations and routing constraints.

  • 03

    Retail and Aviation Planners

    They run batch pathing queries to simulate how crowds move through malls or airports.

FAQ

Questions Pointr owners ask.

  • 01

    What can this MCP do with my indoor maps?

    It allows your AI client to read building layouts, list floor levels, and find specific points of interest or beacons within those maps.

  • 02

    Does it support multi-floor navigation?

    Yes, the calculate_path capability is designed to handle multi-floor walking paths, including transitions like escalators.

  • 03

    How do I use it with my existing AI client?

    Once you add the Pointr MCP to your client, you can use natural language to trigger any of the available capabilities.

  • 04

    Can I use this to manage BLE beacons?

    Yes, you can use the list_beacons capability to see all registered hardware in your Pointr deployment.

  • 05

    Is my data secure?

    The MCP uses your Enterprise Bearer Token to securely bridge your agent to the Pointr network.

  • 06

    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.

  • 07

    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.

  • 08

    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.

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