myDevices MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add myDevices as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to myDevices. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in myDevices?"
)
print(response)
asyncio.run(main())
* 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 myDevices MCP Server
Connect your myDevices Cayenne account to empower your AI agents with IoT capabilities. This server allows for real-time monitoring and control of connected sensors and actuators.
LlamaIndex agents combine myDevices tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Device Visibility — List and inspect all connected IoT devices and their metadata
- Telemetry Monitoring — Access real-time sensor data and historical telemetry records
- Remote Control — Send commands to actuators and control hardware programmatically
- Alert Management — Monitor and track IoT system alerts and notifications
The myDevices MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex 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 myDevices to LlamaIndex via MCP
Follow these steps to integrate the myDevices MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from myDevices
Why Use LlamaIndex with the myDevices MCP Server
LlamaIndex provides unique advantages when paired with myDevices through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine myDevices tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain myDevices tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query myDevices, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what myDevices tools were called, what data was returned, and how it influenced the final answer
myDevices + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the myDevices MCP Server delivers measurable value.
Hybrid search: combine myDevices real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query myDevices to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying myDevices for fresh data
Analytical workflows: chain myDevices queries with LlamaIndex's data connectors to build multi-source analytical reports
myDevices MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect myDevices to LlamaIndex via MCP:
get_device
Get device details
get_sensor_data
Get current sensor value
get_sensor_history
Get historical sensor data
list_alerts
List IoT alerts
list_applications
List all applications
list_devices
List all IoT devices
list_sensors
List sensors for a device
send_command
Send command to device
Example Prompts for myDevices in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with myDevices immediately.
"List all my connected IoT devices."
"What is the current temperature reading from 'Sensor #1'?"
Troubleshooting myDevices MCP Server with LlamaIndex
Common issues when connecting myDevices to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpmyDevices + LlamaIndex FAQ
Common questions about integrating myDevices MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect myDevices with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect myDevices to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.