"Amazon Alexa" matching MCP servers:

Provides persistent memory, calendar integration, task management, and proactive assistance for Alexa+ through the Model Context Protocol.

Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.

MCP server that gives AI agents persistent, tenant-scoped memory with semantic search and consolidation, using CockroachDB vector indexes and Amazon Bedrock embeddings.

Serverless document and media processing with AI chat. Upload documents, images, video, and audio — extract text with OCR or transcription — query using Amazon Bedrock.

Enables Alexa+ to retain and recall a lightweight per-user context thread across separate voice interactions, supporting starting, querying, and listing active contexts for continuity.

Enables voice-first shared object memory for Alexa+, letting users record where items were last reported, retrieve authorized locations, correct stale records, check shared items in and out, run guided Lost Mode searches, and manage privacy-aware access.

Enables Alexa+ users to coordinate household pet care by logging feeding, medication, activity, litter, and health observations for dogs and cats, with evidence-grounded triage, Q&A, and daily briefings backed by a verified veterinary library and citations.

A self-hosted MCP server that gives an Alexa+ household a durable operational memory for home repairs, warranties, and service cases, enabling multi-turn troubleshooting, provider booking, and reminders.

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.

Gives Alexa+ persistent, structured memory of a household kitchen: tracking purchased groceries, flagging items at risk of spoiling, proposing rescue meals from expiring ingredients, and maintaining shopping lists, receipt ingestion, and waste reports through MCP tool calls. Storage, tool logic, and safety controls (consent gates, two-step deletion, rate limiting) are exposed over Streamable HTTP for any MCP client.

Enables an Alexa-style assistant to plan and execute multi-step smart home routines, remember user preferences across sessions, and render interactive UI cards on screen via Streamable HTTP MCP tools. Uses AWS Bedrock for reasoning with a built-in offline intent fallback.

Enables Alexa+ agents to maintain auditable operational continuity across shifts by turning speech into verifiable state, persisting unresolved work, refusing unverified actions, and requiring human approval before executing and confirming high-risk tasks.

MCP server for enabling data extraction and context retrieval for agents, storing information in a knowledge graph using Amazon Neptune or FalkorDB.

MCP server for FOLIO, the Federated Open Legal Information Ontology. Makes the full ontology available to AI agents as searchable, browsable tools.

Enables querying a plant knowledge graph for companion planting, climate suitability, and landscape design recommendations via natural language.

OpenCrab provides an MCP interface for the MetaOntology OS, enabling structured knowledge management across graph, vector, and document databases. It allows agents to perform hybrid searches, manage complex entity relationships, and conduct impact analysis within a multi-space ontological framework.

An MCP server and background daemon that captures Discord and Telegram conversations locally to provide persistent memory for Claude Code sessions. It enables hybrid search and automatic context injection of chat history to maintain continuity across development sessions.

Enables persistent multimodal context storage for LLM agents with thread-based scoping, metadata filtering, and hybrid search capabilities.

Manages projects, requirements, and knowledge entries with full-text search via SQLite FTS5. Provides 19 MCP tools for AI assistants to create, update, search, and delete project data.