"Amazon ElastiCache" matching MCP servers:

A production-grade MCP server for the Amazon Selling Partner API that provides a complete registry of 353 operations across 49 API domains, enabling discovery, description, and invocation of SP-API operations with version awareness and safety controls.

Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.

Enables natural language exploration and execution of Amazon Selling Partner API operations, with automatic parameter validation, code generation, and OAuth2 token management.

Provides custom prompts for Amazon Q by serving markdown files from the local filesystem as prompt templates through the Model Context Protocol.

Enterprise-grade MCP server for SAP ABAP development, enabling AI-powered coding assistance through Amazon Q Developer and Kiro with 15 SAP development tools.

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

Provides a private, managed instance of the official GitHub MCP server hosted on Amazon Bedrock AgentCore with Okta authentication. It allows developers to securely interact with GitHub through MCP-compatible IDEs over a private AWS infrastructure.

Enables ChatGPT to generate Amazon product listing images by returning fixed art-direction rules for Slot1-6 or a six-panel tile, using attached product images and provided product information.

A proof-of-concept implementation that enables Amazon Bedrock AgentCore to interact with AWS Lambda functions and REST APIs through the Model Context Protocol. It provides a gateway for protocol translation and supports direct server implementation using the FastMCP framework.

🤖 Enable AI assistants (Claude, Cursor) to monitor, diagnose, and query Amazon Redshift using this MCP server and the AWS Data API.

A read-only MCP server for Amazon Redshift that leverages column comments for guided data discovery, with slash commands for profiling, exploration, and lineage.

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.

A fake MCP server with 108 themed tools for testing Claude Desktop's handling of large toolsets and Amazon Bedrock AgentCore Gateway integration.

Enables AI agents to manage RabbitMQ message brokers through admin APIs, supporting multiple brokers, OAuth authentication, and mutative tools.

An MCP server for Amazon Q CLI that supports operations on Alibaba Cloud services including ECS, VPC, RDS, OSS, CloudMonitor, and OOS.

Local-first MCP server for agent skills. Validate, lint, diff, and convert agent skill files across Cursor, Claude, Kiro, Windsurf, VS Code, and Amazon Q — no account required. Optional cloud sync with ModelBound.

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your AWS environment. This allows for natural language querying and management of your AWS resources during conversations. Think of better Amazon Q alternative.

MCP server that migrates Amazon Quick Suite resources (Spaces, Chat Agents, Action Connectors, and S3 Knowledge Bases) between AWS accounts, preserving permissions and linkages, with idempotency and preview dry-run support.

Provides read-only access to Amazon Redshift warehouses through MCP, enabling listing databases, schemas, tables, and columns, running read-only queries, and explaining query plans.

Multi-client MCP server for integrating SonarQube 10.6+ code quality analysis with Amazon Q Developer, supporting multiple simultaneous users, branch analysis, and issue management.

Enables AI agents and Amazon Alexa+ skills to orchestrate desktop load-testing workflows hands-free, including launching closed-loop or ramp-up traffic campaigns, streaming live RPS and P50/P95/P99 telemetry, gracefully halting runs, and retrieving bilingual executive capacity audits. Tools are Zod-validated and exposed over stdio with built-in circuit-breaker safety monitoring.

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.

A stateless MCP server sample for the 2026-07-28 protocol, deployable to Amazon Bedrock AgentCore Runtime and probed via SigV4-signed requests.

Send transactional email and manage domains, API keys, webhooks, contacts and broadcasts through SpacePost, a Resend-compatible email API on Amazon SES. One tool per API endpoint, with read-only and send-only modes.

A server that helps people access and query data in databases using the Query Runner with integration of the Model Context Protocol (MCP) Python SDK. Support databases including PostgreSQL Redshift MySQL Microsoft SQL Server Google APIs Amazon Web Services (via boto3) CockroachDB SQLite

Exposes selected AWS resources — Lambda functions, S3, DynamoDB, SQS, EventBridge, OpenAPI endpoints and remote MCP servers — as narrowly scoped MCP tools that Claude Code agents running on Amazon Bedrock AgentCore can call, with IAM-enforced permissions on each target.

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.

Provides instructions and code to set up an MCP server using FastMCP, enabling tool creation for LLM interaction, with an example project for extracting product information from Amazon links.

Enables LLMs and AI agents to securely query and interact with Amazon Redshift databases with configurable access modes (readonly, readwrite, admin) for safe data exploration and management.

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.

Deploys a minimal MCP-compatible Python tool server on Amazon EKS that establishes an outbound WebSocket connection to an AgentCore Gateway. It exposes two tools (get_system_info and echo_data) for tool discovery and invocation through the MCP protocol.

MCP server with example tools for arithmetic and greeting, designed for deployment on Amazon Bedrock AgentCore Runtime with OAuth authentication.