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Search YouTube, get video metadata, and extract timestamped transcripts for AI workflows.
Search YouTube, get video metadata, and extract timestamped transcripts for AI workflows.
Scribefy MCP is a well-structured, security-conscious server with proper authentication, input validation, and clear error handling. The server requires API key authentication for all operations and appropriately guards against missing or malformed credentials. Network permissions and API calls align with its purpose as a YouTube transcript/metadata extraction tool. Minor code quality issues (broad catch blocks, lack of input sanitization on some render functions) are present but do not create exploitable vulnerabilities. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
4 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: SCRIBEFY_API_KEY
Environment variable: SCRIBEFY_API_BASE
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-mkirovbg-scribefy-mcp": {
"env": {
"SCRIBEFY_API_KEY": "your-scribefy-api-key-here",
"SCRIBEFY_API_BASE": "your-scribefy-api-base-here"
},
"args": [
"-y",
"scribefy-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
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.
Open the config file (Settings → Developer → Edit Config):
{
"mcpServers": {
"scribefy": {
"command": "npx",
"args": ["-y", "scribefy-mcp"],
"env": {
"SCRIBEFY_API_KEY": "sk_live_…"
}
}
}
}
Restart Claude Desktop. The extract_transcript tool appears in the available-tools panel.
Settings → Cursor Settings → MCP → Add new MCP server:
{
"scribefy": {
"command": "npx",
"args": ["-y", "scribefy-mcp"],
"env": {
"SCRIBEFY_API_KEY": "sk_live_…"
}
}
}
~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"scribefy": {
"command": "npx",
"args": ["-y", "scribefy-mcp"],
"env": {
"SCRIBEFY_API_KEY": "sk_live_…"
}
}
}
}
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.
Four tools. Three are free (research toolkit); only extract_transcript charges credits.
extract_transcriptPulls the transcript of a YouTube video.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | yes | Full YouTube URL — youtube.com/watch?v=…, youtu.be/…, or youtube.com/shorts/… |
lang | string | no | BCP-47 language code (e.g. en, es, fr, zh-Hans). Defaults to en |
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_videosFree-text YouTube search.
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | yes | Search query — same syntax YouTube's own search bar accepts |
limit | number | no | Max results, 1–25 (default 10) |
Returns: Markdown list of title / channel / duration / views / URL for each result.
Cost: Free.
get_video_metadataTitle, channel, duration, view count, upload date, and available caption tracks. Does not pull the transcript.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | yes | Full YouTube URL |
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_videosYouTube's "Up next" feed for a video.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | yes | Full YouTube URL of the seed video |
limit | number | no | Max related videos, 1–25 (default 10) |
Returns: Same shape as search_videos.
Cost: Free.
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.
| Env var | Required | Default | Notes |
|---|---|---|---|
SCRIBEFY_API_KEY | yes | — | sk_live_… (production) or sk_test_… (Scribefy test mode) |
SCRIBEFY_API_BASE | no | https://api.scribefy.app | Override for staging (https://api-staging.scribefy.app) or self-hosted instances |
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.
MIT
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