"OVH" matching MCP servers:

A Model Context Protocol (MCP) server that provides standardized access to OVH API services, enabling AI assistants to manage OVH cloud infrastructure.

MCP server for OVHcloud Object Storage, enabling management of buckets, objects, project users, S3 credentials, and storage policies. Read-only by default with opt-in write tools.

Provides keyless lyrics lookup for songs by artist and title, with a suggest tool for query autocomplete.

Manage VPS, domains, DNS, billing, and execute SSH commands from any MCP-compatible client. 27 tools + full API discovery across 500+ OVH endpoints.

A remote MCP server with OAuth and passphrase protection, providing a wide range of integrations including GitHub, Microsoft 365, Google, OVH, Steam, WhatsApp, and more for use with Claude Desktop or Claude.ai.

Enables AI agents to perform multi-engine web search, fetch web pages, and extract clean Markdown content via MCP, with no API keys required.

This server enables interaction with Amazon S3 buckets for listing and retrieving objects, with efficient streaming for large files like PDFs, through the Model Context Protocol.

A system-level MCP protocol stack for OpenHarmony that provides unified tool discovery, caching, security, and statistics for agents, reducing context overhead and improving throughput via a user-space daemon (mcpd).

Enables AI assistants to interact with Saffron recipe management functionality, including creating and updating recipes, importing from websites or text, and organizing cookbooks. Provides comprehensive recipe management capabilities through Saffron's API with support for ingredients, instructions, timing, and metadata.

Enables watching videos with an AI coding agent that transcribes, prepares concepts and visuals, and answers questions in context of the video. Provides MCP tools for transcript reading, concept mapping, artifact building, and interactive Q&A synchronized with playback.

Enables comprehensive benchmarking and performance monitoring of OpenShift clusters using OVN-Kubernetes networking through automated data collection, AI-powered analysis, and report generation. Provides intelligent insights into cluster performance, bottleneck detection, and optimization recommendations.