"Toggl Track" matching MCP servers:

Enables AI agents to lip-sync video to a different audio track via LipDub 2, including creating renders, checking statuses, and retrieving results.

Enables reading and creating projects in a local CapCut draft library through natural language — listing timelines, checking for missing media, and generating new edits from clips, with cuts automatically matched to the beat of a track. It works by cloning an existing draft as a structural template, so new projects inherit CapCut's undocumented file format.

Enables fetching YouTube transcripts, searching videos, and listing channel/playlist videos via the TranscriptFetch API.

Converts handwritten journal photos into a searchable, AI-powered local knowledge base using Tesseract OCR. It enables users to query their notes, track insights, and export data through MCP-compatible AI assistants while maintaining complete local data privacy.

Enables AI agents to programmatically edit CapCut Desktop and JianYing Pro projects by directly manipulating native draft files, supporting multi-track timelines, keyframing, transitions, subtitles, and headless previews.

An MCP server that enables local AI agents to generate images and videos through the OpenRouter API, manage a browsable media library, and track generation costs.

Enables MCP-compatible clients to generate and upscale AI images, videos, music, and sound effects, manage generation jobs, access model catalogs, and track credits.

Enables MCP clients to build CapCut video draft projects on disk — adding video and image clips, audio with fades, text overlays, SRT subtitles, filters, transitions, animations and keyframes, then saving the draft for editing and opening in CapCut. It also lists existing drafts, browses available effects and fonts, and summarizes track, duration and segment details.

Exposes ComfyUI workflows as 12 MCP tools on ComfyUI's own port, letting AI agents generate, edit, and remove backgrounds from images plus create videos by passing semantic parameters instead of whole workflow graphs. Agents can list models, submit and track async tasks, fetch artifact URLs, and jump to a visual asset/task page.

An MCP server that gives AI agents a stateful multi-track video editor powered by MLT, enabling them to assemble timelines, add media and text, apply filters and transforms, preview downscaled frames, and render final videos to disk.

Enables AI coding agents to generate cinematic video and image assets and perform autonomous timeline assembly, multi-track audio editing, chroma-key compositing, and local draft manipulation from conversational prompts.

Enables AI agents to browse video production packages, obtain free quotes, start and track productions with budget safeguards, and download finished videos, thumbnails and subtitles from vidia.kr. It also supports account balance checks and asset library lookups through MCP clients such as Claude, Cursor and Codex.

Enables agentic video editing and composition via MCP, allowing creation and manipulation of multi-track timelines with clips, transitions, filters, and text overlays, then rendering to MP4 using the melt-7 CLI.

Exposes a deterministic 2D design canvas as MCP tools, letting an LLM client inspect canvas state, place and modify elements, track reward, render images, and reset the environment to build marketing assets from a natural language brief.