发现我们为 cloud infrastructure 精心策划的 MCP 服务器集合。浏览 1447 个服务器,找到满足您需求的完美 MCP。
Manages AWS resources through the Model Context Protocol using AWS CLI or boto3.
Analyzes AWS Bedrock usage and logs through Anthropic's Model Control Protocol (MCP).
Manages Internet Information Services (IIS) web servers using the Model Context Protocol.
Connects development environments to Snowflake Cortex APIs through a Model Context Protocol server.
Provides a robust template for developing Model Context Protocol (MCP) servers compatible with the Xava Labs TypeScript Agent Framework.
Deploys a remote Model Context Protocol (MCP) server with integrated Google OAuth for secure client authentication and access control.
Manages Google Cloud Dataproc clusters and jobs through a standardized Model Context Protocol interface.
Deploys a Model Context Protocol (MCP) server designed to run on AWS Lambda, integrating custom tools with AI clients.
Manage Kubernetes clusters and resources by connecting to the Model Context Protocol (MCP) server.
Provides granular insights into Google BigQuery costs to facilitate financial optimization.
Connects AI assistants with the Fergus job management platform, facilitating intelligent interaction and automation of business workflows.
Simplifies PostgreSQL database management by providing global connection pooling, PgBouncer integration, and automatic password rotation for AWS RDS.
Integrate Railway.app infrastructure management with Model Context Protocol (MCP) clients, enabling natural language control over deployments, services, and variables.
Enables seamless integration of Tableau Cloud and Tableau Server operations through a Model Context Protocol (MCP) server.
Provides a centralized interface for managing and monitoring various homelab services.
Builds a lightweight server to efficiently interact with the complete Cloudflare API, streamlining cloud management tasks.
Proxies Google Stitch API calls, providing resilient screen generation and automatic gcloud authentication.
Provides AI-powered real-time cloud cost analysis, waste detection, and optimization insights across AWS, GCP, and Azure.
Bridges AI agents and external clients with browser capabilities, providing WebSocket communication, REST API proxying, and Model Context Protocol support.
Provides comprehensive SSH access for AI agents, enabling persistent sessions, structured command execution, secure file transfers, and port forwarding.
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