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

# CrewAI

> Add Atlan MCP tools to a CrewAI agent.

Connect a CrewAI agent to Atlan over Streamable HTTP and make registry tools
available to its assigned tasks.

<Note>
  **Preview.** This path uses CrewAI's structured `MCPServerHTTP`
  configuration.
</Note>

## Prerequisites

* A Python project using a current CrewAI release with MCP support.
* CrewAI's MCP dependencies resolved and recorded in the project lockfile.
* The Atlan MCP endpoint: [https://agentgateway.atlan.engineering/mcp](https://agentgateway.atlan.engineering/mcp).
* OAuth support in the runtime.
* Workspace access to the tools the crew should use.

## Setup

1. Configure an `MCPServerHTTP` connection for the Atlan MCP endpoint.
2. Configure the runtime's OAuth sign-in flow for the connection.
3. Add the connection to the CrewAI agent that needs Atlan tools.
4. Begin with a read-only task and a narrow tool set.

Keep credentials out of source code and endpoint URLs.

## Expected result

CrewAI discovers the tools returned by Atlan and exposes them to the agent for
its assigned tasks.

## Verification

Run a small read-only task with verbose logging enabled. Confirm that CrewAI
connects to the server, discovers the expected tool names, and completes
without an authentication error.

## Limitations

* This integration is in Preview and is not enabled for every Atlan account.
* Cached tool lists can outlive a permission change until the connection is
  rebuilt.
* CrewAI may continue a task when an MCP server is unavailable, depending on
  the surrounding crew configuration.
* Tool calls follow the authenticated Atlan identity and workspace.

See the [CrewAI MCP guide](https://docs.crewai.com/en/mcp/overview) for
transport options, authentication, tool filtering, caching, and error behavior.