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Cloud InfrastructureAuto-generatedScore: 46

Amazon Cognito Identity MCP Server

Amazon Cognito Identity, also known as Amazon Cognito Federated Identities, is a managed cloud service from Amazon Web Services (AWS) designed to provide secure, scoped temporary AWS credentials to applications, particularly for client-side and mobile environments that are inherently untrusted.

Quick Start Summary

The Amazon Cognito Identity MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Amazon Cognito Identity API through natural language. It exposes 10 API endpoints as callable tools, such as CreateIdentityPool, DeleteIdentities, DeleteIdentityPool, 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-cognito-identity. This integration is sourced from the auto Amazon Cognito Identity OpenAPI specification (v2014-06-30) and has a quality score of 46/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
46/99Qualityfair
~30 secSetupno auth

Server Details

Category
Cloud Infrastructure
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
v2014-06-30
Install Command
npx -y @mcp/amazonaws-com-cognito-identity

Environment Variables

AMAZON_COGNITO_IDENTITY_API_KEY

Example: your_amazon_cognito_identity_api_key

Top Endpoints

POST
/#X-Amz-Target=AWSCognitoIdentityService.CreateIdentityPool

CreateIdentityPool

POST
/#X-Amz-Target=AWSCognitoIdentityService.DeleteIdentities

DeleteIdentities

POST
/#X-Amz-Target=AWSCognitoIdentityService.DeleteIdentityPool

DeleteIdentityPool

POST
/#X-Amz-Target=AWSCognitoIdentityService.DescribeIdentity

DescribeIdentity

POST
/#X-Amz-Target=AWSCognitoIdentityService.DescribeIdentityPool

DescribeIdentityPool

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📖 Detailed MCP Integration Guide

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

Capabilities & Use Cases
Amazon Cognito Identity, also known as Amazon Cognito Federated Identities, is a managed cloud service from Amazon Web Services (AWS) designed to provide secure, scoped temporary AWS credentials to applications, particularly for client-side and mobile environments that are inherently untrusted. Its core capability is to broker and manage identities, seamlessly federating with public identity providers (like Google, Facebook, and Amazon) and enterprise identity providers via SAML 2.0. This service uniquely identifies end-user devices and assigns them a consistent, anonymous identity over time, enabling personalized experiences without requiring the application to handle sensitive user authentication details directly. For enterprises, it serves as the secure entry point for granting controlled access to AWS resources from mobile apps or single-page applications. For consumer-facing products, it underpins features like user profiles, personalization, and analytics by providing a durable identifier for anonymous or authenticated users across sessions and device reinstalls.
🤖AI Agent Value
When exposed as a suite of tools via the Model Context Protocol (MCP) for an AI coding assistant like Claude Desktop or Cursor, the Amazon Cognito Identity API gains transformative potential for development and DevOps workflows. An AI agent equipped with these tools moves beyond static code generation to become an active participant in managing an application's identity and access infrastructure. It can dynamically query the current state of identity pools, their configured roles, and associated provider mappings to understand the security context of an application. Furthermore, it can perform critical runtime operations, such as generating and auditing temporary AWS credentials for a specific identity, which is invaluable for debugging issues related to unauthorized access or expired tokens in development environments. This integration shifts the developer's role from manually scripting AWS CLI commands to instructing the AI to perform high-level tasks like "audit all identity pools for compliance with our minimum IAM role policy" or "generate temporary credentials for identity X to test the upload flow to our S3 bucket."
💬Example Workflows
Practical workflow examples enabled by this MCP server are numerous. A developer could instruct the AI agent to "analyze the IAM roles attached to our production identity pool and confirm they adhere to the principle of least privilege," prompting the agent to use GetIdentityPoolRoles and then reason over the attached policy documents. For setup or migration tasks, one could command, "create a new identity pool named 'StagingPool' with Facebook and Google as the configured providers," and the AI would use the CreateIdentityPool tool with the appropriate configuration. During debugging, a command like "simulate a login for user ID abc123 and retrieve their temporary credentials for the S3 and DynamoDB services" would engage the GetCredentialsForIdentity tool, allowing the developer to immediately test resource access. In a continuous deployment pipeline, an AI could be tasked to "retrieve the OpenID token for the identity 'ServiceAccount-Integration' and log it to our secret manager for use in a third-party integration," orchestrating a sequence involving GetOpenIdTokenForDeveloperIdentity and secure handling of the output.
🛡️Security & Auth
Critical to its implementation are robust authentication and security practices. While the API endpoints themselves use an X-Amz-Target header for action specification and request signing is handled by the AWS SDKs rather than basic API authentication, the identity pools must be configured with appropriate IAM roles. It is imperative to follow the principle of least privilege when defining these roles, granting only the specific AWS service permissions required by the application for a given identity or role mapping. Developers must ensure that the server hosting this MCP endpoint has securely configured AWS credentials with permissions sufficient to manage Cognito Identity resources. Furthermore, best practices include enabling provider-based mapping only for necessary providers, regularly rotating and auditing pool configurations, and utilizing the GetCredentialsForIdentity tool with session policies to enforce temporary, time-scoped permissions for sensitive operations, thereby minimizing the potential blast radius of any credential compromise.

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