"Amazon Alexa" matching MCP servers:

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Enables an Alexa+ assistant to answer home-care questions while keeping protected values off the spoken channel, delivering sensitive details privately to the asker's own device via an out-of-band inbox.

Enables governed execution of Alexa+ MCP workflows where agents can propose actions but consequential side effects require separate human approval, producing verifiable execution receipts.

Enables an Alexa+ assistant to name scam warning signs drawn from FTC and FBI alerts, verify a story by texting a family member's pre-saved number, and surface official report links and guidance. It exposes tools and MCP Apps views for checking a suspicious call, while never approving payments, contacting the caller, or collecting sensitive numbers.

Enables a simulated assistant to investigate synthetic incidents, request containment actions that require separate human reauthentication and approval, apply authorized effects, and verify durable signed receipts while rejecting tampering and replay.

Enables a household to give a shared Alexa+ assistant consent-scoped memory, where each member's bearer token determines which private, household-shared, and list memories they can read, write, or delete, with an audit log and SQLite+FTS5 search. Identity is enforced by the transport rather than by the model, so a speaker can never leak or alter another member's data regardless of the prompt.

Enables approval-gated actions for Alexa+ by exposing MCP tools that plan changes, require explicit user approval, execute only after precondition checks, and verify results with SHA-256 evidence digests.

Enables Alexa+ and other MCP-capable assistants to voice-check suspicious messages, links, and phone numbers, with guided call interviews, official-source verification, and plain-language scam briefings.

Enables governed, read-only investigations of Amazon Athena access logs by searching exact user, IP, or correlation indicators and summarizing activity by correlation ID, with parameterized queries, validation, and result limits.

Enables smart home automation via MCP with human-in-the-loop approval gates, providing device discovery, state queries, policy checks, and proposal-based execution of actions and scenes that only proceed after explicit user confirmation, with full audit logging.

Enables autonomous AI governance and pre-action verification for Alexa+ agents, blocking high-risk operations like unlocking doors or financial transactions while grounding decisions in verifiable policy and AWS Bedrock reasoning.

Provides a production-oriented MCP server exposing tools, resources, and prompts over Streamable HTTP with JWT authentication and per-tool RBAC, enabling Amazon Bedrock Claude clients to securely invoke MCP capabilities.

Provides structured access to OCSF-normalized security data stored in Amazon Security Lake, enabling AI assistants to search for IP addresses, GuardDuty findings, and explore available data sources.

Enterprise MCP gateway suite providing 22 unified tools across hardware telemetry, security auditing, AES-256-GCM encrypted storage, HMAC verification, and Amazon Bedrock media generation.

Acts as an intermediary between Claude Desktop and Amazon's MCP server to handle authentication, token management, and subscription-based tool filtering. It provides a secure layer for managing access to Amazon tools while facilitating seamless communication between the client and the model server.

Enterprise MCP gateway providing unified tools for hardware telemetry/performance benchmarking, zero-trust security auditing, AES-256-GCM encrypted storage, HMAC payload verification, and Amazon Bedrock media generation.

Enables querying the MITRE ATT\&CK framework for adversarial tactics, techniques, mitigations, and detection methods through natural language, supporting both ID-based and fuzzy name-based searches.