发现我们为 cloud infrastructure 精心策划的 MCP 服务器集合。浏览 1197 个服务器,找到满足您需求的完美 MCP。
Accesses and delivers comprehensive surf forecasts from Surfline's public API, making detailed conditions, swell analysis, and timing information available to MCP-compatible clients like Claude.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Exposes AWS Lambda functions as discoverable and invocable tools for MCP-compatible agents and workflows.
Enables AI assistants to run FFmpeg commands and process multimedia in the cloud without local installation.
Manages Alibaba Cloud Realtime Compute for Apache Flink resources through a standardized Model Context Protocol (MCP) interface.
Transforms any Kubernetes CRD into type-safe KCL schemas and developer-friendly blueprints.
Integrate with the Cloudflare API to manage zones, DNS, KV storage, and cache operations via the Model Context Protocol.
Enables AI assistants to interact with Amazon Redshift databases using the Model Context Protocol.
Provides access to GrabMaps API services, including places and routes functionality, through AWS Location Service.
Automates the setup and management of a personal home lab environment using modern infrastructure tools.
Retrieves and analyzes 3D protein structural data from RCSB PDB, PDBe, and UniProt with multi-provider orchestration and comprehensive analysis tools.
Models AWS VPC infrastructure as a directed graph to enable AI agents to perform deterministic reachability analysis and detect network security issues.
Enables AI agents to connect and interact with remote servers over SSH, automating common DevOps tasks.
Provides an intelligent multi-agent AI system for personal organization, leveraging AWS Bedrock AgentCore Runtime and Strands Agents.
Enables AI agents to connect and interact with remote servers via SSH for robust system management and automation.
Provides a Model Context Protocol (MCP) server for interacting with and managing Kubernetes clusters.
Manages Proxmox VE nodes, virtual machines, and containers through the Model Context Protocol.
Enables AI agents to discover MCP connectors for real-world entities like businesses and services.
Integrates ArgoCD with GenAI applications to enable intelligent Kubernetes deployment management through a Model Context Protocol (MCP) server.
Orchestrate and automate Kubernetes clusters by leveraging Model Context Protocol tools for seamless management of deployments, services, and configurations.
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