"OVH" matching MCP servers:

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

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.

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.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

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.

Enables Claude Code, Codex, Hermes, OpenCode, and other MCP hosts to turn natural-language prompts over raw video clips into finished, beat-synced montage edits with music matching, subtitles, transitions, and picture-in-picture, while returning reviewable timeline digests and contact sheets before rendering.

Turns a folder of raw clips plus a plain-language prompt into a finished, beat-synced montage, handling shot selection, music matching, subtitles, transitions, and picture-in-picture from within a chat agent. Returns a reviewable timeline digest and contact sheet before any frame is rendered.

A local MCP server that lets an AI coding agent turn a folder of raw clips into a finished, beat-synced montage from a plain-language brief. It handles clip analysis, shot selection, timeline planning, music matching, subtitles, transitions, and rendering, returning a reviewable timeline digest and contact sheet before any frame is exported.

Enables users to turn raw video clips into finished, beat-synced montages through natural-language chat, with automated shot selection, music matching, subtitles, transitions, and picture-in-picture. It returns reviewable timelines and contact sheets before rendering on approval.

Enables users to turn folders of raw clips into finished, beat-synced montage videos through natural-language chat, handling shot selection, pacing, music matching, subtitles, transitions, and rendering. It returns a readable timeline digest and contact sheet each turn so the cut can be reviewed and approved before anything is rendered.

A local MCP server that turns plain-language chat prompts about a folder of raw clips into finished, beat-synced montage videos — handling shot selection, music matching, subtitles, transitions, and picture-in-picture, and returning a reviewable timeline digest and contact sheet before anything renders. It works from Claude Code, Codex, Hermes Agent, or OpenCode, so editing happens entirely in chat with no timeline software or GPU.

Turns natural-language requests into finished, beat-synced montage videos by analyzing raw clips, selecting shots, matching and syncing music, adding subtitles, transitions, and picture-in-picture, then rendering a final cut for review and approval.

Enables AI coding agents to turn a folder of raw clips into a finished, beat-synced montage from a single natural-language prompt, handling shot selection, pacing, music matching, subtitles, transitions, and picture-in-picture. It returns a reviewable timeline digest and contact sheet for approval before rendering the final file.

Enables users to chat with compatible AI coding agents to turn raw clips into finished, beat-synced montage videos, handling shot selection, music matching, subtitles, transitions, picture-in-picture, and rendering after user approval.