Estimote MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Estimote as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="estimote_agent",
instruction=(
"You help users interact with Estimote "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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 Estimote MCP Server
Connect your Estimote Cloud account to any AI agent and take full control of your beacon fleet management and proximity data workflows through natural conversation.
Google ADK natively supports Estimote as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Fleet Orchestration — List all Estimote beacons including Proximity, Location, and Stickers, returning identifiers, hardware types, and current battery levels natively
- Device Shadow Management — Retrieve detailed configurations and status for specific beacons and update broadcasting parameters or transmission power through the shadow system
- Proximity Analytics — Pull detection counts, unique visitor estimates, and dwell time distributions over specified periods to measure real-world engagement
- Real-time Telemetry — Access live sensor data including temperature readings, ambient light levels, motion detection, and barometric pressure from supported hardware
- Physical Location Auditing — Register and manage venues, buildings, or stores, providing geographic coordinates for beacon organization and analytics grouping
- Taxonomy & Tagging — List fleet tags and assign organizational labels to devices for logical grouping and proximity campaign targeting
- Decommissioning Oversight — Permanently remove beacon devices from your cloud account while maintaining physical broadcasting for legacy integrations
The Estimote MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Estimote to Google ADK via MCP
Follow these steps to integrate the Estimote MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Estimote via MCP
Why Use Google ADK with the Estimote MCP Server
Google ADK provides unique advantages when paired with Estimote through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Estimote
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Estimote tools with BigQuery, Vertex AI, and Cloud Functions
Estimote + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Estimote MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Estimote and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Estimote tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Estimote regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Estimote
Estimote MCP Tools for Google ADK (10)
These 10 tools become available when you connect Estimote to Google ADK via MCP:
assign_tag_to_beacon
If the tag does not exist, it is created automatically. A device can have multiple tags. Use to organize beacons by floor, zone, store section, or campaign. Tags persist in the cloud and do not require physical beacon access. Assign an organizational tag to a specific Estimote beacon device, adding it to a logical group for fleet management, analytics filtering, and proximity campaign targeting
create_physical_location
After creating a location, assign beacon devices to it for organized fleet management and location-scoped analytics. Use when deploying beacons at a new site. Register a new physical location (store, office, venue) in Estimote Cloud, providing the site name, street address, and geographic coordinates for beacon fleet organization and analytics grouping
get_beacon_details
The identifier is the beacon MAC address or Estimote Cloud ID. Returns the full device shadow including pending settings changes. Use to diagnose beacon configuration issues or verify firmware update status. Retrieve detailed configuration and status for a specific Estimote beacon device, including its current broadcasting power, advertising interval, sensor readings, firmware version, and physical location assignment
get_beacon_telemetry
Returns the most recent sensor readings from the beacon. Not all sensors are available on all hardware models. Estimote Proximity Beacons support temperature and motion; Location Beacons add light and pressure sensors. Use for environmental monitoring and occupancy detection. Retrieve real-time sensor telemetry data from a specific Estimote beacon, including temperature readings, ambient light levels, accelerometer motion detection, magnetometer orientation, and barometric pressure where supported by hardware
get_device_analytics
Supports query parameters for date range (from, to), device identifier, and tag filtering. Returns aggregated metrics showing how many mobile devices detected each beacon. Use for foot traffic analysis, retail engagement measurement, and space utilization studies. Retrieve proximity analytics data for Estimote beacon devices, including detection counts, unique visitor estimates, dwell time distributions, and engagement metrics over a specified time period
list_beacon_devices
estimote.com. Returns a paginated array of beacon objects. Each beacon includes its MAC address (the most reliable identifier), iBeacon UUID/Major/Minor, Eddystone namespace/instance, and shadow settings. Use to inventory your deployed beacon fleet. List all Estimote beacon devices registered in your Estimote Cloud account, returning device identifiers, hardware types (Proximity/Location/Sticker), battery levels, firmware versions, and current configuration status
list_fleet_tags
Returns an array of tag objects with names and associated device counts. Tags are the primary organizational mechanism in Estimote Cloud. Use to understand your current fleet taxonomy before assigning or filtering devices. List all organizational tags defined in your Estimote Cloud account, which are used to group and categorize beacon devices by location, use case, department, or any custom classification scheme
list_physical_locations
Returns an array of location objects. Locations serve as containers for organizing beacons by physical site. Each location can have multiple beacon devices assigned to it. Use to audit your deployment footprint across multiple sites. List all physical locations (venues/buildings/stores) registered in your Estimote Cloud account, returning location names, addresses, geographic coordinates, and the number of beacons deployed at each site
remove_beacon_device
WARNING: This permanently removes the device from your fleet. The beacon will continue broadcasting but will no longer be managed by Estimote Cloud. Only use when decommissioning hardware. The device can be re-added later via the Estimote app. Permanently remove an Estimote beacon device from your Cloud account, deleting all associated configuration, analytics history, and location assignments. This action is irreversible
update_beacon_settings
Changes are queued in the cloud shadow and synchronized to the physical beacon when a device running the Estimote SDK connects to it. Common updates include name, tags, broadcasting power (dBm), and advertising interval (ms). Update the configuration of a specific Estimote beacon device by modifying its broadcasting parameters, advertising interval, transmission power, or attached metadata tags through the Estimote Cloud shadow system
Example Prompts for Estimote in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Estimote immediately.
"List all my beacons and their current battery status"
"What is the current temperature at 'Beacon-XYZ'?"
"Show me visitor analytics for the 'Main Store' tag from last month"
Troubleshooting Estimote MCP Server with Google ADK
Common issues when connecting Estimote to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkEstimote + Google ADK FAQ
Common questions about integrating Estimote MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Estimote to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.