IndoorAtlas (Indoor Positioning) MCP Server for Claude Code 10 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add IndoorAtlas (Indoor Positioning) as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
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The modern way to manage MCP Servers — no config files, no terminal commands. Install IndoorAtlas (Indoor Positioning) and 2,500+ MCP Servers from a single visual interface.
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add indooratlas-indoor-positioning --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* 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 IndoorAtlas (Indoor Positioning) MCP Server
Connect your IndoorAtlas account to any AI agent and take full control of your smart building infrastructure and indoor positioning services through natural conversation.
Claude Code registers IndoorAtlas (Indoor Positioning) as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where IndoorAtlas (Indoor Positioning) data drives decisions without human intervention.
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
The IndoorAtlas (Indoor Positioning) MCP Server exposes 10 tools through the Vinkius. Connect it to Claude Code 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 IndoorAtlas (Indoor Positioning) to Claude Code via MCP
Follow these steps to integrate the IndoorAtlas (Indoor Positioning) MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using IndoorAtlas (Indoor Positioning)
Ask Claude: "Using IndoorAtlas (Indoor Positioning), show me...". 10 tools are ready
Why Use Claude Code with the IndoorAtlas (Indoor Positioning) MCP Server
Claude Code provides unique advantages when paired with IndoorAtlas (Indoor Positioning) through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using IndoorAtlas (Indoor Positioning) tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
IndoorAtlas (Indoor Positioning) + Claude Code Use Cases
Practical scenarios where Claude Code combined with the IndoorAtlas (Indoor Positioning) MCP Server delivers measurable value.
CI/CD integration: embed IndoorAtlas (Indoor Positioning) tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query IndoorAtlas (Indoor Positioning) nightly and generate reports without human intervention
Shell scripting: pipe IndoorAtlas (Indoor Positioning) outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query IndoorAtlas (Indoor Positioning) status endpoints and alert on anomalies
IndoorAtlas (Indoor Positioning) MCP Tools for Claude Code (10)
These 10 tools become available when you connect IndoorAtlas (Indoor Positioning) to Claude Code via MCP:
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
Example Prompts for IndoorAtlas (Indoor Positioning) in Claude Code
Ready-to-use prompts you can give your Claude Code agent to start working with IndoorAtlas (Indoor Positioning) immediately.
"List all indoor venues in my IndoorAtlas account"
"Check the calibration paths for the 3rd floor of the 'Retail Mall'"
"List the most recent positioning sessions recorded today"
Troubleshooting IndoorAtlas (Indoor Positioning) MCP Server with Claude Code
Common issues when connecting IndoorAtlas (Indoor Positioning) to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
IndoorAtlas (Indoor Positioning) + Claude Code FAQ
Common questions about integrating IndoorAtlas (Indoor Positioning) MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect IndoorAtlas (Indoor Positioning) with your favorite client
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Connect IndoorAtlas (Indoor Positioning) to Claude Code
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.