> For the complete documentation index, see [llms.txt](https://docs.natoma.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.natoma.ai/apps/aws-iam.md).

# AWS IAM

**Type:** Official

**Source Type:** Repository

**Source:** [GitHub](https://github.com/awslabs/mcp)

**Description:** AWS IAM MCP server enables AI assistants to manage AWS Identity and Access Management resources, including users, roles, policies, and permissions. It provides capabilities for identity governance, access control management, and security compliance workflows within AWS environments.

**Configuration Parameters:**

* **AwsAccessKey ID** \* - AWS access key ID for authentication
* **AwsRegion** \* - AWS region for API requests
* **AwsSecretAccessKey** \* - AWS access key ID for authentication
* **AwsSessionToken** \* - Authentication token for API access
* **FastmcpLogLevel** - Logging level for the server (optional). Default: `INFO`

**Setup Steps:**

1. Log in to AWS Console and navigate to IAM
2. Create a new IAM user or select an existing user
3. Generate access credentials (Access Key ID and Secret Access Key)
4. Optionally create a session token for temporary access
5. Assign appropriate IAM policies for the services you want to access
6. Copy the credentials for configuration

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