Estimote MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Estimote through Vinkius, pass the Edge URL in the `mcps` parameter and every Estimote tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Estimote Specialist",
goal="Help users interact with Estimote effectively",
backstory=(
"You are an expert at leveraging Estimote tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Estimote "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Estimote becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Estimote tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the Estimote MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Estimote
Why Use CrewAI with the Estimote MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Estimote through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Estimote + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Estimote MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Estimote for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Estimote, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Estimote tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Estimote against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Estimote MCP Tools for CrewAI (10)
These 10 tools become available when you connect Estimote to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Estimote to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Estimote + CrewAI FAQ
Common questions about integrating Estimote MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Estimote with your favorite client
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Connect Estimote to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.