How to Use the Estimote MCP in Google ADK

Q: How do I filter Estimote beacons in Google ADK?

Use the tagging tools like listfleettags and assigntagtobeacon to categorize devices. You can then query these specific groups during your analytic sessions.

Q: Can Google ADK agents monitor Estimote battery levels?

Absolutely, listbeacondevices returns current battery levels for your entire fleet. You can build logic to flag devices that need physical replacement.

Integrate your Estimote beacon infrastructure into Google ADK pipelines and Gemini-powered workflows.

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Connect Estimote MCP to Google ADK

Create your Vinkius account to connect Estimote 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 Estimote with Google ADK

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Deploy Estimote locations via Google ADK

Register new sites using `create_physical_location` to establish a base for your analytics. This allows you to group your beacons geographically, creating a logical hierarchy for your enterprise data. Once a location exists, use `list_physical_locations` to audit your footprint. It keeps your Google Cloud-based agents informed about exactly where your hardware is active.

Analyze Estimote proximity data

Call `get_device_analytics` to pull visitor engagement metrics directly into your agent's context. You can filter by date or tag to see how different zones perform in real-time. This data pairs perfectly with your existing BigQuery tables. By piping beacon detection counts into your analysis, you build a clearer picture of space utilization across your entire venue fleet.

Manage Estimote tags at scale

Use `list_fleet_tags` to inventory your current organizational scheme. Understanding your existing labels ensures you don't duplicate efforts when assigning new hardware to specific retail zones. If you need to reclassify a device, `assign_tag_to_beacon` updates its metadata instantly. It keeps your fleet taxonomy organized as your business needs evolve.

Setup guide

Set up Estimote 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 Estimote 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="Estimote_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Estimote tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Estimote MCP in Google ADK

Yes, the telemetry and analytics tools provide structured data that fits standard reporting pipelines. You can easily feed beacon detection counts into your existing data warehouse.

Use the tagging tools like `list_fleet_tags` and `assign_tag_to_beacon` to categorize devices. You can then query these specific groups during your analytic sessions.

Absolutely, `list_beacon_devices` returns current battery levels for your entire fleet. You can build logic to flag devices that need physical replacement.

It supports both Stdio and HTTP transports. You choose the connection method that best fits your local or cloud-based agent architecture.

The server handles only device-level telemetry such as ambient light, pressure, and temperature. No identifiable user movement data is stored or exposed by these tools.

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