prepublish

endpoint

https://mcp.prepublish.ai

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is prepublish live?

Yes — it answered the hub's last check (checked 2h ago). It answered 99% of checks over the last 30 days.

Is prepublish free to use?

Yes — the hub reached it with no key and no payment.

What tools does prepublish have?

6 tools: audit_hook, policy_preflight, script_runtime, audit_script, check_authenticity, get_audit.

Is prepublish safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• audit_hook reads unknown never probed

  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 before auditing a whole draft. Cheaper and narrower than audit_script. This is a text-only check of an unrecorded script. It maps relative attention risk inside the draft. It does not measure or predict published YouTube retention, and it cannot account for delivery, editing, thumbnail, topic or distribution.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "hook_text"
    ],
    "properties": {
      "email": {
        "type": "string",
        "format": "email",
        "description": "Only needed once the free anonymous hook check for the day is used. Prepublish stores this address and may send a short series of follow-up emails about the check that include an unsubscribe link. Ask the user; never invent it. When the caller is authenticated with a Prepublish API key the result comes back in the conversation instead, so do not ask for an address in that case."
      },
      "niche": {
        "type": "string",
        "description": "Channel niche, only if the user said it. Sharpens the comparison."
      },
      "hook_text": {
        "type": "string",
        "maxLength": 5000,
        "minLength": 10,
        "description": "The opening lines exactly as written, ideally the first 15 to 30 seconds of speech."
      }
    },
    "additionalProperties": false
  }

  arguments 24 lines copy
• policy_preflight reads unknown never probed

  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 matter and asks whether it is safe to monetise. The quoted passages and their suggested rewrites are part of the paid audit, so the free result may return counts with locked quotes. It reports risk against published policy text; it is not a monetisation guarantee and does not speak for YouTube.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "script"
    ],
    "properties": {
      "title": {
        "type": "string",
        "maxLength": 255,
        "description": "The planned title, if the user has one. Titles are checked too."
      },
      "script": {
        "type": "string",
        "maxLength": 250000,
        "minLength": 200,
        "description": "The script text as written, at least 200 characters. Below that there is not enough context for a policy read."
      }
    },
    "additionalProperties": false
  }

  arguments 20 lines copy
• script_runtime reads unknown never probed

  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 run" or "how many words for a ten-minute video". It is arithmetic on speaking rate only: it excludes pauses, B-roll and demonstrations, so a finished edit usually runs longer.

  mcp-tool

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  {
    "type": "object",
    "properties": {
      "word_count": {
        "type": "integer",
        "minimum": 1,
        "description": "A word count, if the user already knows it."
      },
      "script_text": {
        "type": "string",
        "description": "A script to count. Provide this or word_count or target_minutes."
      },
      "target_minutes": {
        "type": "number",
        "minimum": 0.1,
        "description": "A target runtime in minutes, to convert into a word budget."
      }
    },
    "additionalProperties": false
  }

  arguments 20 lines copy
• audit_script reads unknown never probed

  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 near-finished draft and wants to know what is weak before they record. Do not use it to generate a script, to review a published video, or to check grammar. An email is optional: the result comes back in the conversation either way. This is a text-only check of an unrecorded script. It maps relative attention risk inside the draft. It does not measure or predict published YouTube retention, and it cannot account for delivery, editing, thumbnail, topic or distribution.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "video_title",
      "script_text"
    ],
    "properties": {
      "email": {
        "type": "string",
        "format": "email",
        "description": "Optional. Only when the user gave an address and wants the result link by email: Prepublish stores it with the audit, emails the result link to it, and may send a short series of follow-up emails about the audit that include an unsubscribe link. Leave it out otherwise; the audit runs without it. Never invent an address. When the caller is authenticated with a Prepublish API key the account address is used, so do not ask for one in that case."
      },
      "audience": {
        "type": "string",
        "maxLength": 500,
        "description": "Target audience, only if the user said it."
      },
      "category": {
        "type": "string",
        "maxLength": 500,
        "description": "Video category, only if the user said it."
      },
      "script_text": {
        "type": "string",
        "maxLength": 250000,
        "minLength": 50,
        "description": "The script text as the user wrote it. Paste it verbatim; do not rewrite, summarise or clean it first."
      },
      "video_title": {
        "type": "string",
        "maxLength": 255,
        "minLength": 1,
        "description": "The title the user plans to publish under. The audit checks whether the script delivers this promise."
      },
      "video_duration_seconds": {
        "type": "integer",
        "minimum": 1,
        "description": "Intended runtime in seconds, only if the user stated one. Used for pacing; never assumed."
      }
    },
    "additionalProperties": false
  }

  arguments 42 lines copy
• check_authenticity reads unknown never probed

  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 content, AI-sounding scripts, or a channel that repeats a formula. This reports text-level signals only; it is not a monetisation decision and does not speak for YouTube.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "video_title",
      "script_text"
    ],
    "properties": {
      "script_text": {
        "type": "string",
        "maxLength": 250000,
        "minLength": 50,
        "description": "The script text as the user wrote it. Paste it verbatim; do not rewrite, summarise or clean it first."
      },
      "video_title": {
        "type": "string",
        "maxLength": 255,
        "minLength": 1,
        "description": "The planned title."
      }
    },
    "additionalProperties": false
  }

  arguments 22 lines copy
• get_audit reads unknown 2h ago

  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-only check of an unrecorded script. It maps relative attention risk inside the draft. It does not measure or predict published YouTube retention, and it cannot account for delivery, editing, thumbnail, topic or distribution.

  mcp-tool

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  {
    "type": "object",
    "required": [
      "analysis_id"
    ],
    "properties": {
      "analysis_id": {
        "type": "string",
        "minLength": 1,
        "description": "The analysis_id returned by audit_script."
      }
    },
    "additionalProperties": false
  }

  arguments 14 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.