> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sensorup.com/llms.txt
> Use this file to discover all available pages before exploring further.

# MCP Overview

> Introduction to the Model Context Protocol (MCP) integration with SensorUp

## What is MCP?

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). MCP enables seamless integration between LLM applications and external data sources and tools.

## SensorUp MCP Integration

SensorUp provides MCP tools that allow AI assistants to interact with your SensorUp data and operations directly. Through MCP, you can:

* Query your asset data
* Access emission event information
* Retrieve operational insights
* Interact with the SensorUp GraphQL API

## Benefits

* **Seamless AI Integration**: Connect AI assistants directly to your SensorUp data
* **Standardized Protocol**: Uses the open MCP standard for broad compatibility
* **Secure Access**: MCP tools use your existing SensorUp authentication
* **Real-time Data**: Access live data from your SensorUp account

## Getting Started

To begin using SensorUp MCP tools, see the [Getting Started](/api/mcp/getting-started) guide.

## Learn More

* [Available MCP Tools](/api/mcp/tools)
* [Usage Examples](/api/mcp/examples)
* [MCP Official Documentation](https://modelcontextprotocol.io)