cloud infrastructure向けの厳選されたMCPサーバーコレクションをご覧ください。1210個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables interaction with the 1Panel platform via the Model Context Protocol (MCP).
Simplifies Kubernetes operations by providing an SDK-level abstraction of kubectl and client-go, offering easy resource management and MCP server capabilities.
Enables interaction with Kubernetes clusters through Model Control Protocol (MCP) tools.
Provides a standardized interface to interact with and manage Kubernetes clusters.
Enables Large Language Models to securely query and analyze BigQuery datasets through a standardized Model Context Protocol interface.
Enables AI assistants to interact with Confluent Cloud REST APIs for managing Kafka topics, connectors, and Flink SQL statements.
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.
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.
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 Coolify instances through natural language.
Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.
Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.
Enables MCP clients to remember information about users across conversations, leveraging vector search for relevant memory retrieval.
Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).
Enables AI assistants to interact with and manage Azure Kubernetes Service (AKS) clusters.
Enables database introspection, management, and interaction with self-hosted Supabase instances from development environments using the Model Context Protocol.
Manages Railway account resources and automates workflows through a local Model Context Protocol server.
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