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Developer Tools

Build with Avala

One command to install. Manage datasets, exports, quality targets, and automation agents from your terminal.

terminal
$ curl -fsSL https://avala.ai/install.sh | bash

Requires Python 3.9+

Up and running in seconds

Install the CLI, set your API key, and start managing your data.

terminal
# Install the Avala CLI
$ curl -fsSL https://avala.ai/install.sh | bash

# Authenticate
$ export AVALA_API_KEY="avk_..."

# Start using it
$ avala datasets list
$ avala exports create --project proj_abc123
MCP

Use Avala from your AI assistant

Add one URL to Claude, ChatGPT, Codex, Grok, Cursor, or any MCP client, sign in with your Avala account, and ask about your datasets, captures, and quality results in plain language.

MCP server URL
https://mcp.avala.ai/mcp

Claude

Customize → Connectors → Add custom connector → paste the URL → Connect. In Claude Code, one command:

claude mcp add --transport http avala https://mcp.avala.ai/mcp

ChatGPT

Settings → Connectors → Create → paste the URL → Connect, then enable Avala from the + menu in a chat.

https://mcp.avala.ai/mcp

Codex

One command in your terminal, then sign in from the browser window it opens:

codex mcp add avala --url https://mcp.avala.ai/mcp

Grok

grok.com/connectors → New Connector → Custom → paste the URL and sign in when prompted.

https://mcp.avala.ai/mcp

Signing in grants read-only access to what your account can already see. Revoke it any time from your assistant's connector settings.

Full setup guide

Everything from the terminal

Manage your annotation pipeline without leaving the command line.

Datasets

List, inspect, and manage datasets. View item counts, types, and metadata at a glance.

$ avala datasets list

Exports

Create exports from projects or datasets. Track status and download results programmatically.

$ avala exports create --project <uid>

Auto-Label

Run auto-labeling jobs with SAM or YOLO models. Set confidence thresholds and filter by label.

$ avala auto-label create --project <uid>

Webhooks

Subscribe to events like task completion and export readiness. Test and monitor deliveries.

$ avala webhooks create --target-url <url>

Start building

Install in one command. Read the docs when you need them.

$ curl -fsSL https://avala.ai/install.sh | bash