"Amazon ElastiCache" matching MCP servers:

Enables creating and editing Amazon listing images and product videos from live catalog data, with Amazon compliance rules, character-consistent generation, and resumable video generation.

Wraps the Amazon Q CLI to enable MCP hosts to interact with Amazon Q's AI capabilities for chat, command translation, and status checks.

Auto-generates MCP tools for all Amazon DataZone API operations, enabling natural language management of SageMaker Catalog resources.

An MCP server that translates natural-language queries into structured catalog searches using Amazon Bedrock, enabling MCP clients to query existing in-house APIs.

Provides tools to validate SageMaker workloads against the six pillars of the AWS Well-Architected Framework, returning findings with severity levels and recommendations.

Lets assistants send the same test prompts to as many as four text models across OpenRouter, Amazon Bedrock, Google Vertex AI and Microsoft Foundry, then automatically grade each answer with a judge model, rule checks and a policy gate. Returns scored leaderboards with letter grades, per-response strengths and weaknesses, latency, throughput and estimated cost, plus downloadable PDF and CSV reports.

Enables AI assistants to manage Amazon SageMaker AI resources including endpoints, jobs, pipelines, MLflow tracking servers, domains, models, model cards, and apps.

Enables users to generate complete product-image sets from a single photo for platforms such as Amazon, Etsy, Shopify, TikTok Shop, and social ads, with options for language and image-pack customization. It also supports checking listing images against marketplace image rules before upload.

Enables loading CSV text, filtering and aggregating datasets over Streamable HTTP, and optionally using Amazon Bedrock to turn query results into concise answers suitable for speech.

Enables small clinics to manage missed calls, recall reminders, and review requests through a voice-accessible AI agent, drafting outbound messages via Amazon Bedrock.

An Alexa+ MCP add-on that turns a parent's description of their child's day into an original illustrated, narrated bedtime story with word-by-word read-along highlighting, branching choices, a word of the night, and a persistent story world that carries characters and past episodes from one night to the next. It runs the writing, painting and narration pipeline in the background on Amazon Bedrock and Polly while keeping every tool call under Alexa+'s latency budget, with Bedrock Guardrails checking the parent's request and every page.

WordPress plugin that runs an MCP server on your own site: search and read published posts and pages, look up WooCommerce products, describe the site as schema.org types and query site figures, with drafts only when the site enables them. Signed-in access by default; anonymous access and OAuth are optional and off.

Enables small shopkeepers to record credit and payment entries, check balances, list dues, and get ranked collection plans with drafted reminders through natural voice commands, including code-mixed Tamil/Hindi/English speech. It returns short spoken-style responses over a self-hosted Streamable HTTP MCP server backed by Amazon Bedrock, with a regex fallback when Bedrock is unavailable.

Enables clients to retrieve structured work briefings and item details, analyze blockers, and submit next-action proposals through streamable HTTP tools backed by Amazon Bedrock conversations. Supports human-confirmed approval or cancellation while preserving revisions, decision histories, and safe reuse or invalidation of pending proposals.

Enables Claude Code to query a trained sentiment model and Amazon Electronics review analytics through typed, read-only tools. Supports sentiment classification, statistics, keyword and similar-review search, product summaries and comparisons, negative aspect analysis, and model information.

An MCP server for analyzing DWF files using Amazon Bedrock's Nova Pro model, enabling visual analysis, metadata extraction, and image extraction from DWF drawings.

Enables Alexa+ to collect recent security and IoT context, reason locally, prepare bounded physical actions for explicit approval, execute them through adapters, and return verified evidence in real time.

Enables a voice assistant to run course-grounded review sessions: it queues due concepts, generates questions and grades free-form spoken answers with Amazon Nova, explains misses with citations from course notes, and persists per-concept SM-2 schedules and history in DynamoDB across sessions. It also serves progress and session-summary cards as MCP Apps UI resources, falling back to text for hosts without the extension.

Enables setup validation, authenticated hosted tool discovery, connection diagnostics, coding-agent instructions, and safe execution of provider actions through a gateway.

An MCP server that enables autonomous cloud operations and auditing: routing prompts through Amazon Bedrock with approval gating, running read-only AWS probes, and recording every action in a SHA-256 audit ledger optionally persisted to DynamoDB. It speaks the 2025-11-25 protocol over Streamable HTTP at /mcp and ships Terraform for the audit table and least-privilege IAM.

A self-hosted, Streamable HTTP MCP server that turns spoken end-of-day voice entries into a personal diary, extracting promises and to-dos with due dates from ordinary speech, merging near-duplicates, and prioritizing what matters most with explanations. It also lets users ask what's due, mark commitments complete by meaning, and receive pattern observations and reflections, using Amazon Bedrock for language understanding with an offline fallback.

Serves small Hugging Face models, starting with a 53-language translator, as MCP tools running on AWS Lambda behind Amazon Bedrock AgentCore Gateway so frontier agents can delegate bulk tasks like text and whole-document translation. The client adds file-based tools that upload documents, run parallel async jobs, and return only the result path.

Enables MCP clients to list and inspect Amazon Bedrock knowledge bases and data sources, manage ingestion jobs, and run retrieval or retrieve-and-generate queries through Bedrock Agent APIs.

MCP server for generating and editing images using Amazon Nova Canvas, Stable Diffusion 3.5 Large, and Stability AI services through Amazon Bedrock.

Enables founder ops assistants to retrieve LinkedIn-style news digests, GitHub repository hygiene, and daily operations briefs generated via Amazon Bedrock, through natural language over Streamable HTTP.

Enables MCP agents to generate open-weight videos through Amazon Bedrock AgentCore Gateway tools, with job polling, safety screening, provenance manifests, tenant isolation, and GPU cost reporting on scale-to-zero spot instances.

Enables Alexa+ to run spoken mock technical interviews by parsing a candidate's resume and target job description, generating tailored questions, and scoring each answer against Bar Raiser rubrics via Amazon Bedrock. It also produces a session report with score breakdowns, weak topics, and a concrete practice plan.

A self-hosted MCP server that tracks pantry items and expiry dates, then uses Amazon Bedrock to suggest recipes prioritizing soonest-expiring food and to manage meal plans and shopping lists through natural language. It also supports scanning grocery receipts and fridge photos, remembers household allergies and preferences, and simulates grocery ordering and delivery.

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 four MCP tools for neural retrieval: personalized user recommendations, item-to-item similarity, cold-start text search, and explainable recommendation scores, enabling LLM agents to query a trained two-tower recommender over Amazon Reviews data.

Enables natural-language analysis of AWS cloud spending and Amazon Bedrock model invocation usage, including breakdowns by service, region, day, user, model, and cross-account data.

Provides tools to generate images using Amazon Nova Canvas and videos using Amazon Nova Reel models via Amazon Bedrock and S3.

Enables users to query and analyze AWS cloud spending and Amazon Bedrock model usage through natural language, with breakdowns by day, region, service, instance type, user, and model, including cross-account cost visibility.

Enables natural-language queries of AWS spend and Bedrock usage data, providing detailed breakdowns by service, region, account, user, instance type, and model, including cross-account cost analysis.

Enables querying AI model lifecycle and deprecation data across OpenAI, Anthropic, Google Gemini, and Amazon Bedrock, including model status, sunset dates, and recommended replacements via MCP tools.

Enables natural-language analysis of AWS cloud spending by exposing Cost Explorer API functionality, including EC2, Bedrock, and per-service cost breakdowns by day, region, user, model, and instance type. It also retrieves Amazon Bedrock usage data from CloudWatch model invocation logs and can pull spend information from other accounts via assumed IAM roles.

Enables users to query and visualize AWS spend and Amazon Bedrock usage data through natural language, including EC2 and service cost breakdowns and Bedrock usage by region, user, and model.

Enables natural-language querying of AWS cloud spending and Amazon Bedrock usage logs, with detailed breakdowns by day, region, service, instance type, user, and model, including cross-account cost retrieval.

Enables users to query AWS spend data and Amazon Bedrock usage from CloudWatch model invocation logs through natural language. Supports detailed cost breakdowns by service, region, day, and instance type, including cross-account AWS spend retrieval.

Enables users to query AWS spending and Amazon Bedrock usage in natural language through MCP clients, with breakdowns by service, region, day, model, and user, plus optional cross-account access.