"OVH" matching MCP servers:

Manage AWS, Hetzner, OVH, and custom SSH servers from AI agents — commands, logs, CloudWatch/CloudTrail, IP banning, and S3, with guard tiers and a full audit trail.

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

A FastMCP server that exposes hospitality data — accommodations, events, and gastronomy — through a unified MCP interface, supporting multiple worlds for real or fictional data.

Enables coding agents to query a team knowledge base via MCP, performing semantic search and asking questions that return grounded, citation-backed answers from ingested documents.

Chat raw clips into a finished cut. Ingest local media, then drive a persistent multi-turn editing thread on the Cassette agent.

MCP server for controlling a single Armature's pose in Blender via a TCP bridge and add-on. It provides tools for querying the rig, reading and setting bone rotations, applying SMPL-X pose JSON, resetting pose, undo, viewport rendering, and saving .blend files.

A powerful MCP server with 116 practical tools across 9 categories including compression, web, file system, data processing, text, system, utilities, subagent AI, and browser automation.

Provides agent-friendly, read-only access to public Hungarian water-management data from the Országos Vízügyi Főigazgatóság (OVF), enabling station discovery, measurement catalog inspection, and time series retrieval and aggregation.

Enables agents to inspect and analyze ROS recordings through MCP tools and resources, including topic indexing, frame/point-cloud/depth sampling, IMU/odometry series, calibration, and exportable clips, previews, and reports. It provides bounded queries and materialization of analysis artifacts without requiring a ROS installation.

An MCP server that provides access to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, offering 30 tools for searching and analyzing biological data like pathways, genes, and compounds. It supports integration with LangChain and Ollama to enable LLMs to interact with comprehensive genomic and chemical datasets.

A Claude-compatible MCP server that enables storing and summarizing notes through a simple note storage system with custom URI scheme.

MCP server that gives text-only agents like Claude Code and Codex image, video, and audio analysis capabilities through local setup and multiple AI providers.

A Windows system-tray task manager with MCP server integration, enabling Claude Code, Claude Desktop, and claude.ai to read and write tasks via stdio or SSE.

Enables chat-driven video editing by letting an MCP host analyze raw clips and produce finished, beat-synced montages with matched music, subtitles, transitions, and picture-in-picture, all previewed as a timeline digest before rendering. It runs locally through agents such as Claude Code, Codex, Hermes, and OpenCode.

Enables users to turn raw video clips into finished, beat-synced montage cuts through natural-language chat, with the agent selecting shots, matching music, adding subtitles and transitions, and rendering the final video.

Enables an AI agent to ingest raw video clips, plan and edit a montage from natural-language prompts, and produce a rendered, beat-synced cut with matched music, subtitles, transitions, and picture-in-picture.

Enables users to turn raw clips into finished, beat-synced montage videos through natural-language chat, including shot selection, music matching, subtitles, transitions, and picture-in-picture. It lets agents analyze footage, plan and review cuts before rendering, and export final edits without a GPU or timeline editor.

Enables coding agents such as Claude Code, Codex, Hermes, and OpenCode to turn a folder of raw clips plus a plain-language brief into a finished, beat-synced montage, handling shot selection, music matching, subtitles, transitions, and rendering. Each turn returns a timeline digest and contact sheet so the cut can be reviewed before any frames are rendered.

A local MCP server that lets chat-based coding agents turn a folder of raw clips into finished, beat-synced montage videos by handling shot selection, music matching, subtitles, transitions, and rendering through natural language. It returns a timeline digest and contact sheet for approval before any frame is rendered.

Enables users to turn raw video clips into finished, beat-synced cuts through natural-language chat with compatible agents, handling shot selection, music matching, subtitles, transitions, and rendering while allowing review before export.