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Cloud InfrastructureAuto-generatedScore: 40

AWS Single Sign-On MCP Server

AWS IAM Identity Center (successor to AWS Single Sign-On) is a central portal service provided by Amazon Web Services that streamlines and secures user access management across an organization's AWS environment.

Quick Start Summary

The AWS Single Sign-On MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS Single Sign-On API through natural language. It exposes 4 API endpoints as callable tools, such as GetRoleCredentials, ListAccountRoles, ListAccounts, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-sso. This integration is sourced from the auto AWS Single Sign-On OpenAPI specification (v2019-06-10) and has a quality score of 40/99 (fair documentation coverage).

4Endpointstools mapped
NoneAuthopen access
40/99Qualityfair
~30 secSetupno auth

Server Details

Category
Cloud Infrastructure
Authentication
None
Endpoints
4 operations
Transport
STDIO
Spec Version
v2019-06-10
Install Command
npx -y @mcp/amazonaws-com-sso

Environment Variables

AWS_SINGLE_SIGN_ON_API_KEY

Example: your_aws_single_sign_on_api_key

Top Endpoints

GET
/federation/credentials#role_name&account_id&x-amz-sso_bearer_token

GetRoleCredentials

GET
/assignment/roles#x-amz-sso_bearer_token&account_id

ListAccountRoles

GET
/assignment/accounts#x-amz-sso_bearer_token

ListAccounts

POST
/logout#x-amz-sso_bearer_token

Logout

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📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

Capabilities & Use Cases
AWS IAM Identity Center (successor to AWS Single Sign-On) is a central portal service provided by Amazon Web Services that streamlines and secures user access management across an organization's AWS environment. Its core capabilities revolve around creating a single, unified entry point for users to federate into multiple AWS accounts and business applications using their existing corporate identities. The API enables programmatic interactions for key operations: retrieving temporary security credentials for a specific role in a designated account (/federation/credentials), listing the roles a user is permitted to assume in a given account (/assignment/roles), enumerating the AWS accounts accessible to a user (/assignment/accounts), and securely terminating a user's session (/logout). In typical enterprise use cases, this API is foundational for automating identity and access management workflows, enabling DevOps pipelines to fetch temporary credentials for deployment tasks, integrating custom-developed internal portals with the AWS access portal, and generating dynamic reports on user permissions across a multi-account AWS Organizations structure. It serves as the technical backbone for enforcing consistent access policies and simplifying the user experience for cloud resource access.
🤖AI Agent Value
When exposed as a set of tools via the Model Context Protocol (MCP) to an AI coding assistant, this API transforms from a backend service into a powerful, interactive interface for intelligent automation. The value lies in allowing the AI agent to dynamically query the current state of identity and access within the AWS environment based on natural language instructions from a developer. For instance, a developer can instruct the AI to "list all the AWS accounts I currently have access to" or "show me what roles I can assume in the data-production account," and the agent will invoke the appropriate MCP-bound tools (/assignment/accounts and /assignment/roles) to fetch and present this information. This immediate visibility helps developers understand their access scope without navigating complex console menus. The AI can also be directed to perform specific, context-aware tasks such as "fetch temporary credentials for the AdminRole in account 123456789012 so I can run a specific CLI command," which the agent would execute by calling /federation/credentials and securely providing the resulting temporary access key, secret key, and session token for the developer's immediate use. Furthermore, the /logout endpoint can be wrapped as a tool to allow the AI to "terminate my current session" as a security measure after a task is complete, adding a layer of operational hygiene.
💬Example Workflows
Implementing this API as an MCP server requires strict adherence to security best practices, primarily centered on authentication and authorization. Although the direct API authentication method may be listed as "None" in the context of the endpoint definitions, this is because the API relies on the security of the federated user's initial session token (x-amz-sso_bearer_token), which must be securely obtained through the AWS SSO authentication flow and passed with each request. This bearer token is a short-lived, sensitive credential that represents the user's authenticated identity. Therefore, the MCP server itself must be configured to handle this token with extreme care—it should never be logged, persisted unnecessarily, or exposed in error messages. The underlying IAM Identity Center setup must follow the principle of least privilege, ensuring that the roles and account assignments granted to users provide only the permissions absolutely necessary for their function. When developers interact with the AI assistant, they are effectively operating within the constraints of their own Identity Center permissions; the AI cannot exceed the access granted to the authenticated user. Configuration guidelines should emphasize that the MCP server runs in a secure, ephemeral environment, the bearer token is passed securely between the client and the server, and all communication occurs over encrypted channels (HTTPS). Regular audits of Identity Center permission sets and account assignments are crucial to maintain a robust security posture.
🛡️Security & Auth
Prioritize security when using this MCP server. Configure least privilege scopes, store credentials in secure environment variables, and avoid exposing private keys. STDIO-based servers should redirect standard logging to stderr to prevent protocol corruption.

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