cloud infrastructure를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1046개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables operations on AWS resources, including S3 and DynamoDB, through the Model Context Protocol.
Enables analysis and visualization of AWS cloud spending data using Anthropic's Claude model as an interactive interface.
Enables Large Language Models to inspect BigQuery database schemas and execute queries.
Enables AI agents to interact with the Terraform Registry API for provider, resource, and module information.
Demonstrates how to enhance ChatBot applications using Amazon Bedrock with the Model Context Protocol (MCP) to enable seamless integration with external systems and data sources.
Enables AI assistants to interact with Confluent Cloud REST APIs for managing Kafka topics, connectors, and Flink SQL statements.
Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.
Provides a standardized interface to interact with and manage Kubernetes clusters.
Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.
Dynamically creates and manages Model Context Protocol (MCP) servers as child processes, enabling a flexible MCP ecosystem.
Enables AI assistants to interact with and manage Azure Kubernetes Service (AKS) clusters.
Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).
Provides example implementations for building agentic AI solutions with AWS, utilizing the Model Context Protocol.
Enables MCP clients to remember information about users across conversations, leveraging vector search for relevant memory retrieval.
Provides a Model Context Protocol (MCP) server offering a suite of tools for interacting with Google Cloud's Vertex AI Gemini models, focusing on coding assistance and query answering.
Enables database introspection, management, and interaction with self-hosted Supabase instances from development environments using the Model Context Protocol.
Enables interaction with Azure resources through the Model Context Protocol (MCP).
Manages Alibaba Cloud resources through automated operations and pre-built tools.
Provides a fast, secure, and scalable cloud IDE platform for containerized development environments.
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