cloud infrastructure를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1042개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Bring AWS best practices directly into development workflows with a suite of specialized Model Context Protocol (MCP) servers.
Provides an AI-native API gateway for cloud-native applications, extending Envoy and Istio with Wasm plugins.
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
Enables secure execution of untrusted user-generated code and AI code.
Manages Cloudflare resources using natural language commands via the Model Context Protocol (MCP).
Create and configure development containers from devcontainer.json files, providing isolated development environments.
Transforms existing API servers and services into Model Context Protocol (MCP) compliant endpoints with zero code changes.
Aggregates and unifies multiple Model Context Protocol (MCP) servers, enabling middleware application and dynamic management.
Converts existing RESTful and gRPC services into MCP-Server compatible services without infrastructure changes.
Enables collaboration between small, on-device LLMs and larger cloud-based models for cost-efficient language processing.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Connects AI agents with Azure services, enabling exploration, querying, and management of Azure resources.
Connects to a Kubernetes cluster and enables management via commands.
Enables advanced automation and interaction capabilities for Infrastructure as Code (IaC) development through integration with Terraform Registry APIs.
Automates FinOps processes to reduce cloud costs and streamline financial operations through no-code workflows.
Facilitates client-side consumption of Cloudflare's AI offerings through a monorepo of packages and demo applications.
Experiments with Azure API Management's AI capabilities, integrating with Azure OpenAI, AI Foundry, and more.
Enables AI assistants to interact with Kubernetes clusters through natural language via the Model Context Protocol (MCP).
Provides a Model Context Protocol (MCP) server for managing Kubernetes and OpenShift resources.
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