cn.narracore/screenplay-formatter

up checked 2026-11-10T22:37:36.112Z

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Publisher-provided title

Narracore Screenplay Formatter

Publisher-provided description

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

Summary by lookupd

Formats, analyzes and converts screenplays, plans film shot analysis, and produces video-generation prompts for agents to use.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http screenplay-formatter https://mcp.narracore.app/mcp

Codex, remote (streamable-http)

codex mcp add screenplay-formatter --url https://mcp.narracore.app/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

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

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (15 tools)

Publisher-provided text

• format_screenplay Convert raw or loosely formatted screenplay text (Chinese, English, or mixed — including Japanese broadcast-drama format and Chinese colon-style dialogue script
• analyze_screenplay Deterministic screenplay statistics from the Narracore analyzer (analyzer_version 1.0, same rules as narracore.cn): a scene list with structured scene headings
• diagnose_scenes Scene-level "shootability" diagnosis for a screenplay, using the same ai-2.0 rules as narracore.cn: YOU (the calling AI) cite the evidence, the server validates
• convert_fountain Convert between Narracore screenplay blocks and Fountain (the plain-text screenplay interchange format). direction="to_fountain": screenplay (input_format="text
• render_bilingual_pdf Bilingual side-by-side screenplay PDF: submit the ORIGINAL screenplay (same inputs as format_screenplay) plus "translation" — the translated screenplay text you
• build_video_prompts Turn a screenplay into structured video-generation prompt scaffolds (deterministic — no LLM on the server; YOU fill the creative fields). For each selected scen
• check_video_prompts FREE deterministic quality gates for video-generation prompts written against a screenplay (no LLM on the server — pattern matching and set comparison only; fin
• get_film_contract FREE. Return the Narracore Film Contract by section — the protocol that lets ANY vision-capable agent turn its own observation of a film into a stable, comparab
• plan_film_analysis FREE deterministic. Turn shot-cut timestamps into the analysis topology every Film Protocol agent shares: numbered base shots (shot-000001), long-take windowing
• validate_film_breakdown FREE preflight for a film breakdown payload (film_manifest + shots + scenes + relations). Checks the contract WITHOUT watching anything: schema shape, closed vo
• compile_film_breakdown CHARGED (1 credit per film analysis — the same analysis_id within 24h is NOT charged again; failed validation is never charged). Compile a validated film breakd
• prepare_story_window FREE. Split a story conversation (verbatim user/assistant turns) into stable, hash-anchored units for the Narracore Story Continuity Protocol. YOU judge the sto
• absorb_story_window CHARGED (1 credit per story project per 24h; any validation failure is never charged, absorbed-window repeats are free no-ops). Merge YOUR extraction of a prepa
• render_story_handoff FREE. Render a StoryState into a zh/en handoff document (recent-canon window + bible) for a successor writer/AI. The server formats the state you SUPPLY — proje
• check_credits Check the remaining credits for a Narracore license key (NRC-XXXX-XXXX-XXXX-XXXX), plus recent usage and the purchase link. One credit covers one screenplay for

Details

• Version: 1.4.0
• Transports: streamable-http
• Uptime (7 days): 78%
• Median latency: 1627 ms
• First indexed: 2026-11-01T08:52:19.021Z
• Last seen in registry: 2026-11-01T08:52:19.041Z
• Repository: https://github.com/xiaoanran0602-pixel/narracore-mcp-public
• Website: https://narracore.app

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