
Scribefy
io.github.MKirovBGPublished by GitHub account MKirovBGv0.3.5Updated Oct 24, 2026
Search YouTube, get video metadata, and extract timestamped transcripts for AI workflows.
Overview
Lets an assistant search YouTube, read video metadata and related videos, and extract timestamped transcripts, with transcript extraction billed in credits.
- What you can do
- Scribefy wraps the Scribefy API as a local stdio MCP server exposing four tools. extract_transcript pulls a YouTube video's transcript and returns Markdown with title, channel, duration, language, and timestamped segments. search_videos runs free-text YouTube searches, get_video_metadata returns title, channel, duration, views, upload date and available caption tracks, and get_related_videos returns the "Up next" feed. The repo also ships an Agent Skill describing a search, vet, extract, cite workflow.
- When to use it
- Useful when an assistant needs to work with YouTube content: summarizing or citing a video, checking which caption languages exist before extracting, or researching a topic across several videos. The free tools let it vet candidates before spending credits on transcripts.
- Requirements
- Runs locally via npx, so Node 20 or newer is needed. A Scribefy account on the API + MCP plan (stated as $25/mo) is required for the SCRIBEFY_API_KEY environment variable; the server can be installed without a key but tools will not work. SCRIBEFY_API_BASE optionally overrides the default API endpoint. Network access to the Scribefy API is required.
Installation
In SourceWeft
- Open Scribefy in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
scribefy-mcp
MCP server for Scribefy — extract YouTube transcripts from Claude Desktop, Cursor, Windsurf, ChatGPT custom GPTs, or any other MCP-compatible client.
Live now — set it up in a minute below, or try the web app at scribefy.app.
Why
Most YouTube transcript tools live in browser extensions or one-off web UIs. This wraps Scribefy's API into the MCP standard so your AI assistant can pull a transcript whenever a user pastes a YouTube link — no manual copy-paste, no separate tabs.
Requirements
- Node 20+
- A Scribefy account on the API + MCP plan ($25/mo) for an API key. You can install without a key first — the MCP host registers the server cleanly and you'll get a friendly nudge when you try to use a tool — then add your key from scribefy.app/dashboard to start extracting.
Setup
Claude Desktop
Open the config file (Settings → Developer → Edit Config):
Restart Claude Desktop. The extract_transcript tool appears in the available-tools panel.
Cursor
Settings → Cursor Settings → MCP → Add new MCP server:
Windsurf
~/.codeium/windsurf/mcp_config.json:
Anywhere else
Any MCP host that supports stdio transport: spawn npx -y scribefy-mcp with SCRIBEFY_API_KEY in the env. The server speaks the standard MCP JSON-RPC over stdin/stdout.
Tools exposed
Four tools. Three are free (research toolkit); only extract_transcript charges credits.
extract_transcript
Pulls the transcript of a YouTube video.
Returns: Markdown with title, channel, duration, language, and the transcript split into segments with timestamps.
Cost: 1 credit (≤15 min) → 8 credits (2 h+). Cached transcripts are free.
search_videos
Free-text YouTube search.
Returns: Markdown list of title / channel / duration / views / URL for each result.
Cost: Free.
get_video_metadata
Title, channel, duration, view count, upload date, and available caption tracks. Does not pull the transcript.
Returns: Markdown summary plus a list of every caption track (authored ✏ or auto-generated ⚙) with its language code.
Cost: Free. Use this to inspect a video before deciding whether to extract, or to discover which caption languages are available.
get_related_videos
YouTube's "Up next" feed for a video.
Returns: Same shape as search_videos.
Cost: Free.
Tools coming in a future release
list_channel_videos and get_video_comments were planned for 0.3.0 but are deferred to 0.4.0 while we wait for upstream youtubei.js to publish fixes for YouTube's 2026 response-shape changes. Channel listing fails with HTTP 400 at the InnerTube layer, and info.getComments() is no longer attached to parsed VideoInfo. Both will return as soon as the library catches up.
Skills
The repo ships an Agent Skill (a SKILL.md your assistant loads on demand) that teaches it how to use these tools well — vet candidates with the free tools before spending credits, prefer authored captions, lean on the free transcript cache, and cite answers with timestamps.
skills/youtube-research— the YouTube research workflow: search → vet metadata → extract selectively → synthesize with[mm:ss]citations.
To use it in Claude Code, copy the folder into your project's .claude/skills/ (or ~/.claude/skills/ to have it everywhere). Open Plugins-compatible hosts detect it straight from the repo.
Configuration
Troubleshooting
SCRIBEFY_API_KEY is required
Make sure the env block is set in your MCP host's config and the host actually loads it. Some hosts strip env vars by default — check their docs.
Scribefy rejected the API key
Either the key is wrong, the key was revoked, or your subscription is no longer on the API + MCP plan. Check scribefy.app/dashboard.
Not enough credits
The tool returns the remaining balance and the cost in the error message. Top up at scribefy.app/pricing.
The tool doesn't show up in my MCP client
After editing the config, fully restart the client (not just the chat window). Tail the client's logs if available — most show MCP stderr there. The server prints scribefy-mcp: ready once it boots.
License
MIT
Source: README.md at commit f1c81d8
Tools
0Version history
1- v0.3.5LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts