AWS向けに構築された169個のMCPを発見。
Query real-time AWS EC2 pricing data to find the cheapest instances based on CPU, RAM, and other specifications.
Enables AI agents, assistants, and chatbots to query Kubernetes Audit Logs through the Model Context Protocol (MCP).
Establishes a comprehensive and scalable ML inference architecture on Amazon EKS, optimizing for cost-effective CPU inference with Graviton processors and accelerated GPU inference, while providing an end-to-end platform for deploying LLMs with agentic AI, RAG, and intelligent document processing.
Connects AI assistants to DuckDB for powerful data analysis through the Model Context Protocol.
Implements a Model Context Protocol (MCP) server using AWS Lambda and SAM for serverless operation.
Integrates secure coding practices into AI development environments, preventing security vulnerabilities.
Provides a unified interface to AWS services, enabling security teams and incident responders to investigate and analyze security incidents within their AWS environment.
Indexes technical documentation on a local vector database and integrates with AI IDEs for semantic search.
Extends AI assistant capabilities with example Model Context Protocol (MCP) servers written in Rust.
Implements a reference authorization server based on the draft MCP OAuth 2.1 specification.
Enables AI assistants to securely manage MySQL databases by executing queries, inspecting schemas, and handling connections via the Model Context Protocol.
Deploys a containerized Model Context Protocol server on Amazon EKS, offering a calculator tool for basic arithmetic.
Executes Strands agents through the Model Context Protocol (MCP).
Enables SQL queries and database exploration in AWS Athena through a standardized Model Context Protocol (MCP) interface.
Enables natural language interaction with AWS resources through AI assistants like Claude.
Generates images and videos using Amazon Nova models via AWS Bedrock within an MCP environment.
Provides a powerful and flexible Python library for creating and managing virtual filesystems.
Exposes AWS S3 operations through a secure Model Context Protocol (MCP) interface for AI agents and clients.
Exposes an HTTP Model Context Protocol (MCP) server using Spring Boot and Spring AI to provide custom, secured tools.
Deploys an agentic AI architecture on AWS Fargate for Amazon ECS, enabling an AI service to interact with multiple Model Context Protocol servers to perform various actions.
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