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Narracore Mcp Public MCP Server

Developer ToolsLow Risk9.9MCP RegistryRemote
Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://mcp.narracore.app/mcp

Security Report

9.9
Low Risk9.9Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

Endpoint verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

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

Documentation

View on GitHub

From the project's GitHub README.

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


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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