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Narracore Screenplay Formatter

cn.narracore/screenplay-formatter · v1.4.0

Measured by MCP Station

Description written by the publisher, not verified

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

Connect

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

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

Tools as reported by the server

• format_screenplay
  Convert raw or loosely formatted screenplay text (Chinese, English, or mixed — including Japanese broadcast-drama format and Chinese colon-style dialogue scripts) into professionally structured screenplay blocks and a print-ready PDF on a fixed typewriter character grid identical to narracore.cn. Us
• 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 (scene number / location / time of day / INT-EXT parsed from each heading), per-scene word count, dialogue ratio and action density, a chara
• 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 it and computes the score — no LLM on the server. Two steps: (1) mode="material" (FREE) returns each scene as a numbered block list ([n] [t
• convert_fountain
  Convert between Narracore screenplay blocks and Fountain (the plain-text screenplay interchange format). direction="to_fountain": screenplay (input_format="text" or "blocks") → Fountain text (Latin content upper-cased per convention, CJK preserved verbatim; notes as [[…]]). direction="from_fountain"
• 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 or your AI prepared. Both versions are typeset on the same fixed typewriter grids (Chinese 33×38 / English 61×55) side by side on A3 landsc
• 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 scene it estimates ~15s segments (marked estimated), registers entities (characters + dialogue counts), proposes ≤4 shots per segment at beat bo
• 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; findings are reported, nothing is blocked). Submit the SAME screenplay plus up to 10 finished prompt texts (≤20k chars each). VIOLATIONS (objec
• 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, comparable, traceable Film IR (shot/scene/relation), validated and compiled by this server. The video NEVER leaves your machine: you observe and rea
• 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 (shot-000017-w01of03 when a shot exceeds the profile cap), and greedy analysis units (≤20s / ≤8 shots per unit by default). Pass duration_s
• validate_film_breakdown
  FREE preflight for a film breakdown payload (film_manifest + shots + scenes + relations). Checks the contract WITHOUT watching anything: schema shape, closed vocabularies (exact→alias→reject), cross-references (shot ids, scene membership, relation endpoints), window topology (a long take's windows m
• 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 breakdown into a bounded, derivable result: authoritative validation → window→canonical shot merge (long-take windows are recombined so a 60s take
• 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 story; the server only slices and anchors provenance — a source is traceable, not proof your interpretation is true. Keep the full text and ret
• 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 prepared window: selectors must quote/anchor exact unit text (server pulls canon verbatim; client canon_text is rejected) and the returned canon_
• 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 — project_token proves identity only, not that the state content is authentic or current. Keep the full text client-side; failed calls are never ch
• 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 24 hours across the screenplay tools, or one film analysis, or one story project for 24 hours. Costs nothing. 查询授权码剩余服务次数（1 次＝一份剧本 24 小时剧本类

Tool changes

• 2026-10-23: format_screenplay, analyze_screenplay, diagnose_scenes, convert_fountain, render_bilingual_pdf, build_video_prompts, check_video_prompts, get_film_contract, plan_film_analysis, validate_film_breakdown, compile_film_breakdown, prepare_story_window
• 2026-10-16: format_screenplay, analyze_screenplay, diagnose_scenes, convert_fountain, build_video_prompts, check_video_prompts, get_film_contract, plan_film_analysis, validate_film_breakdown, compile_film_breakdown, prepare_story_window, absorb_story_window

Repository · Website · JSON · Text for agents · Registry updated 2026-09-19