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IndoorAtlas (Indoor Positioning)

IndoorAtlas (Indoor Positioning) MCP Server

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Manage indoor positioning via IndoorAtlas — list venues, upload floorplans, and analyze positioning sessions.

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IndoorAtlas (Indoor Positioning)
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What is the IndoorAtlas MCP Server?

The IndoorAtlas MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to IndoorAtlas via 10 tools. Manage indoor positioning via IndoorAtlas — list venues, upload floorplans, and analyze positioning sessions. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (10)

create_venueget_fingerprint_pathsget_session_dataget_venue_detailslist_floorplanslist_positioning_sessionslist_venuesposition_from_wifi_scantrigger_map_generationupload_floorplan_geojson

Tools for your AI Agents to operate IndoorAtlas

Ask your AI agent "List all indoor venues in my IndoorAtlas account" and get the answer without opening a single dashboard. With 10 tools connected to real IndoorAtlas data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

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Vinkius works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

IndoorAtlas (Indoor Positioning) MCP Server capabilities

10 tools
create_venue

The venue serves as the top-level container for floor plans and positioning data. After creation, upload floor plan images and calibrate for positioning accuracy. Create a new indoor venue in the IndoorAtlas platform by specifying the building name, geographic coordinates of the entrance, and initial configuration parameters for indoor positioning deployment

get_fingerprint_paths

Returns GeoJSON LineString features representing calibration paths. Use to assess calibration coverage and identify areas of the floor that need additional fingerprinting for better positioning accuracy. Retrieve the fingerprinting walk paths recorded for a specific floor plan as GeoJSON, showing the routes surveyors walked while collecting Wi-Fi/BLE signal data for positioning calibration

get_session_data

Returns the complete position trace as a series of timestamped fixes. Use for path visualization, behavioral analysis, and positioning quality assessment. Large sessions may contain thousands of position fixes. Retrieve the full positioning trace data for a specific IndoorAtlas session, including timestamped coordinate fixes, floor transitions, accuracy metrics, and sensor readings throughout the session duration

get_venue_details

Returns the venue configuration including coordinate reference, building dimensions, and mapping completeness metrics. Use to inspect a venue before deploying positioning or wayfinding features. Retrieve detailed metadata for a specific IndoorAtlas venue including its geographic anchor point, floor count, total mapped area, calibration status, and associated floor plan identifiers

list_floorplans

Returns an array of floor plan metadata objects ordered by floor number. Each entry includes the plan dimensions, pixel-to-meter scale, and whether radio map generation has been completed. List all floor plans uploaded to a specific IndoorAtlas venue, returning floor plan IDs, floor numbers, dimensions, geo-alignment status, and map generation readiness for each level of the building

list_positioning_sessions

Returns a paginated list of positioning sessions. Each session represents a continuous period of indoor tracking by a single device. Use for occupancy analytics, dwell time analysis, and path optimization studies. List historical indoor positioning sessions recorded by IndoorAtlas, returning session IDs, start/end times, venue associations, and device information for analytics and path replay

list_venues

Returns an array of venue objects. Each venue represents a physical building that has been set up for indoor positioning. Use to discover available venues before requesting floor plans or positioning data. List all indoor venues registered in your IndoorAtlas organization, returning venue IDs, names, geographic coordinates, and configuration status for each mapped building or facility

position_from_wifi_scan

Returns estimated coordinates with uncertainty radius. Use for server-side positioning when mobile SDK integration is not feasible. Determine indoor position from a Wi-Fi access point scan using the IndoorAtlas Positioning API, submitting observed signal strengths to receive a calculated latitude, longitude, floor level, and accuracy estimate

trigger_map_generation

This is a critical step — positioning will not work on a floor until map generation completes successfully. The process is asynchronous and may take several minutes depending on floor plan complexity. Trigger the IndoorAtlas radio map generation process for a specific floor plan, initiating the server-side computation that creates the positioning model from fingerprint data and floor plan geometry

upload_floorplan_geojson

After upload, trigger map generation to enable positioning on this floor. Upload a new floor plan to an IndoorAtlas venue as a GeoJSON document, geo-referencing the indoor map image to real-world coordinates for accurate positioning overlay

What the IndoorAtlas (Indoor Positioning) MCP Server unlocks

Connect your IndoorAtlas account to any AI agent and take full control of your smart building infrastructure and indoor positioning services through natural conversation.

What you can do

  • Venue Management — List all registered indoor venues and retrieve detailed metadata including geographic anchor points and floor counts directly from your agent
  • Floorplan Orchestration — Upload new floor plans as GeoJSON and manage geo-referencing to real-world coordinates for accurate indoor positioning
  • Map Generation — Trigger the radio map generation process to compute positioning models from signal fingerprint data and floor geometry
  • Analytics & Sessions — Retrieve historical positioning sessions and trace data to analyze occupancy patterns, dwell times, and path optimization
  • Wi-Fi Positioning — Determine indoor location from Wi-Fi scans using the Positioning API to receive estimated coordinates and floor levels
  • Calibration Audit — Inspect fingerprinting walk paths to assess calibration coverage and identify areas needing additional signal mapping

How it works

1. Subscribe to this server
2. Enter your IndoorAtlas API Key
3. Start managing your indoor spaces from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Smart Building Developers — integrate indoor location services into AI agents and monitor venue calibration statuses
  • GIS Analysts — manage indoor floor plans and coordinate geo-referencing through natural conversation without complex GIS software
  • Operations Managers — audit occupancy analytics and positioning session data to optimize building usage and visitor flows

Frequently asked questions about the IndoorAtlas (Indoor Positioning) MCP Server

01

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.

02

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.

03

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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