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Narracore Screenplay Formatter

作者:xiaoanran0602-pixel版本 1.4.0i★ –i在云端运行
注册名称cn.narracore/screenplay-formatter

安装

概览

作者提供的说明(英文原文)

Screenplay, film and story toolkit over MCP: PDF formatting, stats, diagnosis, video prompts.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 游戏、体育、美食与学习
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http screenplay-formatter https://mcp.narracore.app/mcp --header 'Authorization: your-value'

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "screenplay-formatter": {
      "url": "https://mcp.narracore.app/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "screenplay-formatter": {
      "type": "http",
      "url": "https://mcp.narracore.app/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • Authorization 机密 HTTP header
    Optional license key for paid credits, value 'Bearer NRC-XXXX-XXXX-XXXX-XXXX'. The free daily tier works without it.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 narracore.cn 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“游戏、体育、美食与学习”中的其他服务器比较i

  • 星标数多于此分类中其他 1291 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1291 个服务器的 33% 更新
  • 基础检查结果等于或优于此分类中其他 1291 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Narracore Screenplay Formatter 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.4.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:EduAtlas, RSS.com MCP by usefulapi, Castos MCP by usefulapi

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

EduAtlas

作者:eduatlas.org

Live school vacancies from schools' own careers pages, and official school records. Free, no login.

在云端运行今天更新
安装

Read podcasts and episodes; create and edit episodes, chapters and transcripts in RSS.com.

在云端运行今天更新
安装

Read podcasts and episodes; create and update episodes; manage private subscribers in Castos.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Narracore Screenplay Formatter

Turn rough screenplay text into professionally structured screenplay format and a print-ready PDF — from any MCP-compatible AI.

Remote MCP server (Streamable HTTP): https://mcp.narracore.app/mcp

Works with Claude, ChatGPT, Cursor, Gemini and any MCP-compatible client. Paste a rough script, get back structured blocks (scenes, characters, parentheticals, dialogue, transitions), layout diagnostics, and a typeset PDF identical to narracore.cn — fixed typewriter grid, embedded Sarasa Mono / Courier Prime fonts, Chinese and English (or mixed) tracks.

Beyond formatting, the same endpoint carries a film-breakdown protocol and a story-continuity protocol for AI agents (14 tools in total — see below).

  • Try it free: one free credit per day, no account, no key.
  • Need more? $1.49 for 10 credits, $5.99 for 50 — buy here. One credit covers one screenplay for 24 hours across the screenplay tools, or one film analysis, or one story project. Failures are never charged; retries of the same request never double-charge.
  • Example: rough input → formatted PDF (also Chinese → 中文 PDF).

Install

Claude (claude.ai / Claude Desktop)
  1. Settings → Connectors → Add a custom connector (Desktop: Settings → Connectors → Advanced).
  2. URL: https://mcp.narracore.app/mcp → Connect.
  3. In any chat, ask: *"Format this screenplay: …"*

Step-by-step: docs/install-claude.md

ChatGPT
  1. Settings → Apps & Connectors → Advanced → Create (Developer mode).
  2. MCP Server URL: https://mcp.narracore.app/mcp.
  3. Ask ChatGPT: *"用剧本排版工具排版这段剧本:…"*

Step-by-step: docs/install-chatgpt.md

Cursor

Settings → MCP → Add new global MCP server, type url:

{ "url": "https://mcp.narracore.app/mcp" }

Step-by-step: docs/install-cursor.md

Gemini

Gemini CLI / Code Assist — add to settings.json:

{

"mcpServers": { "narracore-screenplay-formatter": { "httpUrl": "https://mcp.narracore.app/mcp" } } }

Step-by-step: docs/install-gemini.md

Tools

Fourteen tools over one endpoint, in three billing units (see Paid credits).

Screenplay
ToolWhat it does
format_screenplayParse rough text (or typed blocks) → structured blocks → layout diagnostics → print-ready PDF (free validate_only mode included)
analyze_screenplayDeterministic stats: scene list with parsed headings, character table, dialogue ratio, action density
diagnose_scenesScene shootability diagnosis — the calling AI cites evidence, the server validates and scores 0-100 (material mode free)
convert_fountainBlocks ↔ Fountain (plain-text screenplay interchange format), both directions
build_video_promptsScreenplay → structured video-prompt scaffolds: ~15s segments, ≤4 shots each, character registry, dialogue pre-filled verbatim, style guidance (checklist / editable presets / your own note)
check_video_promptsFree deterministic checks of finished video prompts against the screenplay: dialogue-verbatim lock, cut-point handoff, shared-content rules (violations) + eyeline/rhetoric/conflict advisories

One credit covers one screenplay for 24 hours across all of the above (they share a content fingerprint — send the same script, or the blocks you got back, to several tools and it charges once).

Film breakdown (the video never leaves your machine)

Your agent watches the footage locally with its own vision model; this server supplies the protocol, the deterministic validation and the compilation.

ToolWhat it does
get_film_contractFree — the Film Contract by section: pipeline and entities, the long-take window protocol, observability levels, closed vocabularies + alias table, observation and reasoning prompt templates, reference ffmpeg recipes
plan_film_analysisFree — cut timestamps → the analysis topology every Film Protocol agent shares: numbered base shots, long-take windows, ≤20s / ≤8-shot analysis units
validate_film_breakdownFree preflight — schema, closed vocabularies, cross-references, window topology, provenance shape; returns a lossless normalized_patch and retry feedback for your model
compile_film_breakdownBilled: 1 credit per film analysis — authoritative validation → long-take merge (a 96s take is ONE shot in every statistic) → exact aggregates → labelled deterministic heuristics → PDF report with a 24h signed link
Story continuity

For AI agents carrying a long-running story (novel, interactive fiction, tabletop campaign, worldbuilding) across context windows. The full text and the returned StoryState stay with you; the server stores nothing.

ToolWhat it does
prepare_story_windowFree — split a conversation (verbatim user/assistant turns) into stable, hash-anchored units bound to your current state
absorb_story_windowBilled: 1 credit per story project / 24h — validate and apply YOUR extraction: selectors must quote exact unit text, and the returned canon_patch is tail-hash-verified before you apply it
render_story_handoffFree — render the state you supply into a model-independent zh/en handoff document for a successor writer/AI
Account
ToolWhat it does
check_creditsShow remaining credits for a license key, plus recent usage and the purchase link

Structured input (typed blocks), diagnostics codes, and header-based auth are documented in the tool descriptions themselves — your AI already knows how to use them.

Paid credits (optional)

The free daily credit works with no key. To buy more:

  1. Buy a pack at narracore.app/checkout ($1.49 / 10 credits, $5.99 / 50 credits).
  2. You get a license key like NRC-XXXX-XXXX-XXXX-XXXX.
  3. Give it to your AI (paste it in chat, or set header Authorization: Bearer NRC-… in your client). Top-ups land on the same key.

What one credit covers (three independent units — a credit spent on one is not a credit in another):

UnitCharged once perTools
Screenplayone screenplay, for 24 hoursformat_screenplay, analyze_screenplay, diagnose_scenes, convert_fountain, build_video_prompts
Film analysisone analysis_id, for 24 hourscompile_film_breakdown
Story projectone story project, for 24 hoursabsorb_story_window

Free tier: one credit per day per visitor, any of the three. Failures are never charged; retrying the same request_id never double-charges.

Details: docs/pricing.md · Refund within 7 days if unused.

Privacy

Your text is used only to produce your result. PDFs are deleted after 24 hours. License keys are stored hashed. Videos are never uploaded for film breakdowns. No training, no accounts, no newsletters. → docs/privacy.md

Links

  • Product page: narracore.app
  • Service endpoint: mcp.narracore.app/mcp
  • Registry entry: cn.narracore/screenplay-formatter
  • Open-source core: narracore-format — the formatting engine as a free, local MCP server / DSH plugin (text output; PDF export stays here)
  • Security: SECURITY.md

This repository is the public anchor for the hosted service — it contains documentation, examples, and registry metadata only. Docs are licensed CC-BY-4.0.

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