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71,726 servers. Updated

"author:MCP-Mirror" matching MCP servers:

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    Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.
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    Provides comprehensive access to 471+ DigitalOcean API endpoints, enabling AI assistants to manage cloud infrastructure including droplets, databases, load balancers, DNS, Kubernetes, and other DigitalOcean resources programmatically.
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    An MCP server for Infrastructure as Code that enables AI assistants to manage cloud resources through Ansible and Terraform operations. It supports executing playbooks, managing AWS services, and running Terraform commands with optional LocalStack integration.
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    Enables AI assistants to manage cloud infrastructure through natural language by providing a unified interface to the Dokploy platform. Supports Docker containers, applications, databases, domains, monitoring, and deployment operations through conversational commands.
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    Enables AI models to retrieve user geolocation information through EdgeOne Pages Functions. Provides access to location data via the Model Context Protocol for integration with large language models.
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    Enables interaction with MinIO object storage through a standardized Model-Context Protocol interface. Supports listing buckets and objects, retrieving files, and uploading data to MinIO storage.
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    Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.
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    Enables direct interaction with AWS S3 buckets through the Model Context Protocol, allowing users to list and manage S3 bucket operations using their AWS credentials.