"Amazon Prime" 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.

Enables MCP-capable clients to generate higher-fidelity videos via Wan 3.0 Prime, supporting text-to-video, image-to-video, multimodal reference-to-video, and async task status polling.

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

Exposes four narrow tools for submitting text, frame, and reference video-generation jobs and for looking up job status through the Argolink Wan 3.0 Prime API, reading credentials from the environment.

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

Enables coding agents to query AI model API prices, including historical point-in-time lookups with cited sources, using a bundled dated dataset and requiring no API keys.

Live LLM API pricing: current token prices, model comparisons, cheapest-model lookups, and The LLM Price Index for 150+ models across 20+ providers, re-verified daily. No API key required.

Enables AI agents to list and compare LLM API prices per million tokens, rank the cheapest models by context and keyword, look up GPU rental rates per hour by provider, and estimate self-hosting cost per million tokens against API pricing. Pricing data comes from OpenRouter's public models endpoint plus a dated GPU price CSV, with source URLs and explicit notes when data is missing.

Enables MCP clients to query live OpenRouter LLM pricing and monthly price history back to 2023 without API keys. It supports finding the cheapest model for a job, estimating workload costs, tracking price changes, and comparing providers.

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.

Governed RunPod control plane for ECHO OMEGA PRIME, providing agent entry points with confirmations and manifest policies. Enables authorized agents to observe, prepare, and execute RunPod operations via MCP scopes.

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

Exposes foldkit's 7-prime spine, 7 κ-bands, and 6 fold operations as MCP tools and resources, enabling MCP clients to perform folding, classification, and operation tasks.

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.

Exposes foldkit's 7-prime spine, 7 κ-bands, and 6 fold operations as MCP tools and resources, enabling folding, unfolding, and band classification in any MCP client.

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

Exposes foldkit 7-prime spine, κ-band classification, and 6 fold operations as tools and resources for MCP-compatible AI clients like Claude Code.

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.

Exposes the 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources in any MCP client for foldkit interactions.

Exposes foldkit's 7-prime spine, 7 κ-bands, and 6 fold operations as MCP tools and resources, enabling state folding, band classification, and operation application in any MCP client.

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.

MCP server for foldkit — exposes the 7-prime spine, 7 κ-bands, and 6 fold operations as native tools + resources in any MCP client.

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 AI assistants to issue a single unauthenticated GET against an OpenAI-compatible endpoint and learn whether it publicly discloses model prices, returning a verdict plus entry and priced-item counts. It also lets the assistant read archived daily cross-provider readings for a given date.

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.