Skip to main content
Glama
xiaoanran0602-pixel

Narracore Screenplay Formatter

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

Related MCP server: ShotFlow MCP Server

Tools

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

Screenplay

Tool

What it does

format_screenplay

Parse rough text (or typed blocks) → structured blocks → layout diagnostics → print-ready PDF (free validate_only mode included)

analyze_screenplay

Deterministic stats: scene list with parsed headings, character table, dialogue ratio, action density

diagnose_scenes

Scene shootability diagnosis — the calling AI cites evidence, the server validates and scores 0-100 (material mode free)

convert_fountain

Blocks ↔ Fountain (plain-text screenplay interchange format), both directions

build_video_prompts

Screenplay → 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_prompts

Free 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.

Tool

What it does

get_film_contract

Free — 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_analysis

Free — cut timestamps → the analysis topology every Film Protocol agent shares: numbered base shots, long-take windows, ≤20s / ≤8-shot analysis units

validate_film_breakdown

Free preflight — schema, closed vocabularies, cross-references, window topology, provenance shape; returns a lossless normalized_patch and retry feedback for your model

compile_film_breakdown

Billed: 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.

Tool

What it does

prepare_story_window

Free — split a conversation (verbatim user/assistant turns) into stable, hash-anchored units bound to your current state

absorb_story_window

Billed: 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_handoff

Free — render the state you supply into a model-independent zh/en handoff document for a successor writer/AI

Account

Tool

What it does

check_credits

Show 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):

Unit

Charged once per

Tools

Screenplay

one screenplay, for 24 hours

format_screenplay, analyze_screenplay, diagnose_scenes, convert_fountain, build_video_prompts

Film analysis

one analysis_id, for 24 hours

compile_film_breakdown

Story project

one story project, for 24 hours

absorb_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


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.

Related MCP Connectors

Related MCP Servers