Atlan Agent Toolkit FAQs

Question 1

What is the Atlan Agent Toolkit?

Accepted Answer

It's a toolkit for building AI agents that can interact with Atlan data catalogs, enabling them to discover, retrieve, and utilize data assets.

Question 2

How does the MCP server work?

Accepted Answer

The MCP server provides a standardized protocol for AI agents to interact with Atlan services through function calling, making it easier to integrate agents with the catalog.

Question 3

What are the main features of the Toolkit?

Accepted Answer

Key features include function calling capabilities, asset search tools, pyatlan integration for asset retrieval, and a Model Context Protocol (MCP) server for standardized interactions.

Question 4

What are the contributing guidelines?

Accepted Answer

Contribution guidelines include creating a new branch, following the MCP specification, submitting a pull request against the `main` branch, and ensuring the PR passes all CI checks.

Question 5

What is the purpose of the pyatlan integration?

Accepted Answer

The pyatlan integration allows AI agents to retrieve data assets from the Atlan catalog programmatically, enhancing their ability to work with data.

Atlan Agent Toolkit

Key Features

Use Cases

Atlan Agent Toolkit

Key Features

Use Cases