broll-mcp
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- AlicenseAqualityCmaintenanceEnables searching, browsing and downloading public-domain archival film shots by visual description, with filters for color, aspect ratio and year. It also exposes source films, curated collections, full-film downloads and ffmpeg-trimmed shot ranges saved locally as MP4s.62MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to source real, license-labelled photos and video clips of the exact person, company, product, or place named in a script, with each candidate checked by a vision model and scored before returning download links or capture commands. It also plans b-roll across a whole transcript, matching each moment to the words it plays over.4MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to search and retrieve historical materials from five public archives in a unified format, including full-text search inside scanned books, rights statements, and provenance-tracked media downloads.23MIT
- AlicenseAqualityDmaintenanceEnables searching, downloading, and placing b-roll assets (images, stock video, etc.) onto an editor timeline in DaVinci Resolve, Premiere, or via universal formats.5MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to search seven open media collections for reusable images, artworks, HDRIs, textures and 3D models, keeping only items whose own licence record clearly permits reuse. Returns ready-to-use attribution credit lines and can download the selected files with a generated credits file.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to read videos from YouTube links, web pages, media URLs, or local files by returning timestamped transcripts, labelled frame contact sheets, and lossless audio or spectrograms. Also searches YouTube, channels, pages, and folders to find videos worth reading.MIT
TDQS
Scored across 4 tools
Each tool maps to a distinct stage: search remote footage, inspect a remote item, extract a clip locally, and read local provenance. There is minor overlap because both inspect_item and get_provenance can return license/source information for an item, but the remote-vs-local distinction is clearly stated.
All four names follow a consistent snake_case verb_noun pattern: search_footage, inspect_item, extract_clip, get_provenance. The convention is predictable and immediately readable.
Four tools are well-scoped for a focused footage search, inspection, extraction, and provenance workflow. Each tool has a clear role and none appears redundant.
The surface covers the core lifecycle from discovery through extraction and provenance, with paging and repeat-cut handling described. Minor gaps exist around managing or listing already extracted clips, but agents can work around this through provenance lookups.