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Enables AI assistants to interact with and manage Sakura Cloud infrastructure via the Model Context Protocol (MCP).
Automates Coolify infrastructure management, including teams, servers, services, applications, and deployments, directly within n8n workflows using the Model Context Protocol.
Enables the installation and access of ToolsForMCPServer as an extension within the Gemini CLI environment.
Enables agentic tools to manage ArgoCD applications and resources through natural language interactions.
Enables AI agents like Claude Code to send real-time notifications to Telegram via an MCP server.
Provides an MCP server for querying OCI registries and image references.
Enables Large Language Models to interact with Nutanix Prism Central via the Model Context Protocol.
Automates comprehensive management and integration across the entire Microsoft 365 ecosystem via the Microsoft Graph API.
Provides read-only access to Microsoft Sentinel data for querying, incident viewing, and resource exploration, designed for use with LLMs in test environments.
Enables natural language control over cloud infrastructure through an AI-powered interface to the Dokploy platform.
Enables AI agents, assistants, and chatbots to query Kubernetes Audit Logs through the Model Context Protocol (MCP).
Enables fetching and processing of web content via Cloudflare Browser Rendering for use as context in LLMs.
Enables Cursor and Windsurf to manage Supabase databases and execute SQL queries safely.
Provides AI agents with programmatic access to CodeSandbox SDK operations for managing development environments.
Provides a universal control plane for AI agents and platform engineers to manage and interact with Model Context Protocol (MCP) servers.
Provides a unified interface to interact with Firebase Authentication, Firestore, and Storage services.
Provides seamless integration with Google Cloud Storage, enabling AI assistants to perform file operations, manage buckets, and interact with GCS resources directly.
Provides read-only access to Kubernetes clusters, designed for seamless integration with AI assistants.
Bridges AI agents and the Akash Network, enabling AI models to deploy applications and manage deployments.
Queries the Meraki Dashboard API to discover, monitor, and manage a Meraki environment.
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