How to Use the IndoorAtlas (Indoor Positioning) MCP in Google ADK

Feed real-world indoor location data and floor plans directly into Gemini and BigQuery with the Google ADK.

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Connect IndoorAtlas (Indoor Positioning) MCP to Google ADK

Create your Vinkius account to connect IndoorAtlas (Indoor Positioning) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup IndoorAtlas (Indoor Positioning) with Google ADK

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Feed raw positioning data to BigQuery

The `list_positioning_sessions` tool extracts historical indoor tracking sessions, exposing device IDs and timestamps directly to your Gemini agent. This allows your Google ADK pipeline to feed raw movement data straight into BigQuery tables. To map the exact path a device took, the agent uses `get_session_data` to retrieve thousands of coordinate fixes. Gemini uses its long-context window to analyze these massive coordinate arrays and find high-traffic bottlenecks.

Manage enterprise venues via this MCP Server

The `list_venues` tool pulls your entire organization's building registry, allowing your Gemini agent to audit configuration statuses. The agent checks which properties are ready for active tracking and which need attention. For incomplete setups, the agent calls `get_venue_details` to verify the mapped area and calibration status. If a building lacks data, the agent can use `create_venue` to initialize the property.

Optimize signal calibration with Gemini reasoning

The `get_fingerprint_paths` tool retrieves the exact walk routes surveyors took during Wi-Fi and BLE signal collection. Your Gemini agent inspects these GeoJSON paths to pinpoint uncalibrated zones on your floor plans. By comparing these paths against the floor plans retrieved via `list_floorplans`, the agent identifies gaps. It then outputs a list of coordinates that require manual signal scans.

Setup guide

Set up IndoorAtlas (Indoor Positioning) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with IndoorAtlas (Indoor Positioning) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="IndoorAtlas (Indoor Positioning)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to IndoorAtlas (Indoor Positioning) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about IndoorAtlas (Indoor Positioning) MCP in Google ADK

Instantiate McpToolset with the HTTP transport URL pointing to your Vinkius endpoint. Pass this toolset directly to your LlmAgent constructor to expose all ten positioning tools to Gemini.

Yes, Gemini can process raw Wi-Fi access point scans. The agent sends the scan data to `position_from_wifi_scan` to get back the calculated latitude, longitude, and floor level.

The server uses a V8 engine to stream data. When querying thousands of coordinate fixes via `get_session_data`, the ADK feeds this directly into Gemini's massive context window for real-time analysis.

Yes. When your agent detects a layout change, it uploads the updated GeoJSON using `upload_floorplan_geojson`. It then calls `trigger_map_generation` to rebuild the radio positioning model.

Raw Wi-Fi access point scans are processed instantly without being logged to disk. All signal data is discarded immediately after the positioning API calculates your coordinates.

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