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Vinkius

Connect IndoorAtlas MCP for AI Agents

Manage Indoor Positioning and Facility Layouts in Smart Buildings

We take care of the infrastructure, maintenance, security, and governance. Works with:

IndoorAtlas MCP for AI Agents MCP is compatible with Claude Claude
IndoorAtlas MCP for AI Agents MCP is compatible with ChatGPT ChatGPT
IndoorAtlas MCP for AI Agents MCP is compatible with Cursor Cursor
IndoorAtlas MCP for AI Agents MCP is compatible with Gemini Gemini
Windsurf
VS Code
Vercel
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AI Agent

What AI agents can do with IndoorAtlas 10 Tools for Smart Building Location Services

Use these tools to list venues, upload floor plans, trigger map generation, and pull detailed historical tracking data from any indoor location.

Upload floorplan geojson

Uploads a GeoJSON file of a new floor plan, linking the indoor map image to real-world coordinates for accurate positioning overlay.

Create venue

Sets up a brand new indoor venue by defining its building name, entrance coordinates, and initial deployment parameters.

Trigger map generation

Starts the computational process to build the positioning model for a specific floor plan using signal fingerprint data and geometry.

Get fingerprint paths

Retrieves walk paths recorded during calibration, showing where surveyors collected Wi-Fi/BLE data to assess coverage gaps.

Get session data

Pulls the complete tracking trace for a session, providing timestamped coordinates and metrics used for path visualization or behavioral analysis.

Get venue details

Retrieves detailed metadata about a venue, including its geographic anchor point, floor count, and overall mapping completeness status.

List floorplans

Lists all uploaded floor plans for a venue, noting their dimensions, alignment status, and whether the map generation is complete for that level.

List positioning sessions

Fetches a paginated list of historical tracking periods, useful for running occupancy reports or path optimization studies.

List venues

Lists every indoor venue registered in your organization, providing names and geographic coordinates to help you scope out the project.

Position from wifi scan

Calculates an estimated indoor position by submitting observed Wi-Fi signal strengths and returns latitude, longitude, and floor level estimates.

Frequently Asked Questions

How do I start using IndoorAtlas with my AI agents? +

You connect your agent through Vinkius, then provide the necessary API keys. Your agent can immediately list all existing venues and check if your current mapping setup is complete or needs work.

Can I use IndoorAtlas to analyze how many people were in a building? +

Yes, you can. By listing historical positioning sessions, the MCP compiles movement data that helps you track occupancy patterns and figure out peak usage times for any area.

What if I don't have perfect Wi-Fi coverage everywhere? +

The system still works with limited data. You can use the Positioning API to estimate locations from simple Wi-Fi scans, and you can audit calibration paths using get_fingerprint_paths to see exactly where more signal mapping is required.

Is IndoorAtlas only for large corporations? +

Not at all. It applies to any facility with complex internal layouts, like retail malls, hospitals, or university campuses. You can use it to map anything that needs precise location tracking.

What do I need to upload before mapping a new floor? +

You first need to provide the building's basic details using create_venue, and then you must upload the actual layout file, preferably as GeoJSON, so the system knows where everything is on the physical map.

How do I start the map generation process for a new floor plan? +

Use the trigger_map_generation tool with your Floorplan ID. This initiates the server-side computation that creates the positioning model. It's a critical step before indoor positioning can work on that level.

Can I determine a position using Wi-Fi scans through my agent? +

Yes. The position_from_wifi_scan tool allows you to submit observed Wi-Fi signal strengths. Your agent will return estimated coordinates and floor level, which is perfect for server-side positioning logic.

How can I analyze visitor traffic patterns in our building? +

Use the list_positioning_sessions tool to retrieve historical traces. Your agent can help you analyze occupancy patterns and dwell times by processing the timestamped coordinate fixes from past sessions.

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