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

# ஒருங்கிணைப்புகள்

> உங்கள் கருவிகள் மற்றும் உள்கட்டமைப்புடன் Avala-ஐ இணையுங்கள்

Avala integrates with the tools and infrastructure you already use. Whether you need AI-assisted annotation through MCP-compatible editors, cloud storage for your datasets, robotics data ingestion, real-time event notifications, or model inference for auto-labeling, Avala's integration ecosystem keeps your annotation workflows connected and efficient.

<CardGroup cols={2}>
  <Card title="MCP Server" icon="plug" href="/docs/ta/integrations/mcp-setup">
    Use Avala directly from Claude, Cursor, VS Code, and ChatGPT through the
    Model Context Protocol. Query datasets, manage projects, and trigger exports
    without leaving your editor.
  </Card>

  <Card title="Cloud Storage" icon="cloud" href="/docs/integrations/cloud-storage">
    Connect your own S3 or GCS buckets so data stays in your infrastructure.
    Upload, reference, and manage assets directly from your connected storage.
  </Card>

  <Card title="MCAP & ROS" icon="robot" href="/docs/integrations/mcap-ros">
    Ingest MCAP files, ROS 1 bags, and ROS 2 bags with full support for camera
    images, point clouds, transforms, IMU, GPS, lidar, and radar message types.
  </Card>

  <Card title="Webhooks" icon="bell" href="/docs/integrations/webhooks">
    Receive real-time HTTP notifications when exports complete, tasks are
    submitted, projects change status, and more. Build event-driven pipelines
    around your annotation workflow.
  </Card>

  <Card title="Model Inference" icon="microchip" href="/docs/integrations/inference">
    Connect SageMaker endpoints or custom HTTP model servers to generate
    pre-annotations. Speed up labeling with AI predictions that annotators
    review and refine.
  </Card>
</CardGroup>