PrePublish - YouTube script QA
ai.prepublish/script-audit · v1.1.0
Audit a YouTube script before recording: hook, pacing, drop-off risk, copy-paste rewrites.
MCPremoteno credentialsMaps & locationImages, video & audio
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 80/100
What it does: 6 tools · 2 read, 4 write · Maps & location, Images, video & audio, Email
Test call script_runtime: failed — tool error: script_runtime needs script_text, word_count or target_minutes.
Ask the user which they have. (969 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: 0
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://mcp.prepublish.aiTools
6 tools listed at last check
audit_scriptRun Prepublish's full audit on a YouTube script the user has already written. Returns hook, structure and pacing scores, a script-level attention-risk map naming the passages most likely to lose viewers, and a copy-paste rewrite for each flagged passage. Choose this when the user has a finished or nget_auditFetch the current state of an audit that was started earlier, using the analysis_id that audit_script returned. Use this when a previous audit was still running, or when the user refers back to an audit from earlier in the conversation. It performs no new analysis and costs nothing. This is a text-oaudit_hookScore just the opening lines of a YouTube script: how much attention each sentence pulls, whether it opens a curiosity gap, how far away the payoff sits, plus the top issues and rewritten alternatives. Choose this when the user shares only a hook or opening paragraph, or wants a fast second opinioncheck_authenticityCheck a script against YouTube's inauthentic-content expectations: whether it reads as mass-produced, templated or repetitive, which signals fire, and what to change. Returns a score, a risk level, the firing signals with quotes, and remediation steps. Choose this when the user worries about reusedpolicy_preflightCheck a script before recording for the YouTube policy categories it may touch: which category families are implicated, the consequence family for each, a verdict and flag counts. Each category cites YouTube's own published policy page. Choose this when the user is writing about sensitive subject mascript_runtimeConvert a word count, or a pasted script, into a spoken runtime range, and convert a target runtime back into a word budget. Rates come from Prepublish's own measurement of 349 videos: 25th percentile 160 words per minute, median 181, 75th percentile 201. Choose this for "how long will this script r
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Markdown for your README
[](https://clawy.uk/mcp/s/ai.prepublish/script-audit)