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Observed MCP server

Framesail

Create long-form (faceless YouTube) videos end to end from any MCP client: script, locked character references, storyboard, voiceover, and final video editing — with characters and style held consistent across every shot. Making long-form AI video today means 8+ tabs stitched by hand — an LLM for the script, a voice model, an image model, a video model — with characters drifting between tools and style resetting at every export. Framesail replaces the patchwork: the whole pipeline runs in one place and manages your video's context end to end. Six stages: Style (paste images, videos, or YouTube links and Framesail reverse-engineers the look, voice, and direction), Script (write it yourself or generate it in your narrative style), Reference images (auto-generated for every character, place, and prop), Voiceover (one narrator or many characters, with word-level timing), Storyboard (planned scene by scene), and Editor (captions, music, SFX, then export). No black box: you control every prompt, asset, model, and setting.

Security score

/100

Awaiting a completed comparable scan.

Seven-category assessment pending: authentication, tool poisoning, prompt injection, dangerous capabilities, dependency risk, data exfiltration, and transport security.

Score history

Pending

Immutable methodology-versioned snapshots

Schema drift

Pending

No normalized tool schema observed

Fingerprint

Pending

Repository/package-backed identity

Public findings

No public findings recorded

This is not a safety claim. Check the coverage and revision status before relying on absence of findings.

Framesail MCP evidence | tryb.dev