MCP server

PrePublish - YouTube script QA Official

ai.prepublish/script-audit

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Audit a YouTube script before recording: hook, pacing, drop-off risk, copy-paste rewrites.

Working at last checkVerified publisher: prepublish.aiAbout 2,089 tokens per request once connected6 tools

Website

https://mcp.prepublish.ai

At a glance

Type: MCP server
Publisher: prepublish.ai (verified by the MCP Registry)
Status: Working at last check
Tools: 6
Token cost: About 2,089 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http script-audit https://mcp.prepublish.ai

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.script-audit]
url = "https://mcp.prepublish.ai"

Gemini CLI

{"mcpServers":{"script-audit":{"httpUrl":"https://mcp.prepublish.ai"}}}

Cursor

{"mcpServers":{"script-audit":{"url":"https://mcp.prepublish.ai"}}}

VS Code

{"servers":{"script-audit":{"type":"http","url":"https://mcp.prepublish.ai"}}}

Antigravity

agy mcp add script-audit https://mcp.prepublish.ai

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"script-audit","server_url":"https://mcp.prepublish.ai","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"script-audit","server_url":"https://mcp.prepublish.ai"}

Tools

audit_hook ~418 tokens
Score 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 opinion
audit_script ~620 tokens
Run 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 n
check_authenticity ~262 tokens
Check 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 reused
get_audit ~220 tokens
Fetch 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-o
policy_preflight ~300 tokens
Check 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 ma
script_runtime ~269 tokens
Convert 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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