by neopen · MCP Server · ★ 95
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
PenShot：Script → Storyboard → AI Video Prompt A multi-agent collaborative screenplay storyboarding system that splits scripts in various formats into script units optimized for AI text-to-video generation durations. It outputs high-quality storyboard fragment descriptions while ensuring narrative continuity. Built on LangChain and LangGraph, the system leverages LLMs to parse any script format into "Text-to-Video" prompt fragments compatible with mainstream AI video models. It supports task pool priority queuing, multi-level memory management, and Chroma vector retrieval. One-Click Conversion: Any screenplay format → Shot-level descriptions → Sora/Veo/Runway/Kling-ready prompts Continuity Guaranteed: Multi-level memory + vector retrieval ensures character/scene/plot consistency across shots Get Started in 5 Minutes: + 3 lines of code 中文 RAG Knowledge · MCP Service [](ht
| Stars | 95 |
| Forks | 22 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.4694234344423/100 |
| Last Updated | 2026-06-16 |
| Created | 2025-10-23 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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story-shot-agent is 剧本分镜工具智能体（PenShot）：电影/动漫/短剧/小说/剧本→分镜→片段→prompt | 基于 LangGraph+LLM，自动解析任意格式剧本，生成 Sora/Veo/Runway 等模型可用的连贯text-to-video提示词。保持角色/剧情跨片段一致，支持 MCP/REST API/函数调用 | Python库 + A2A集成。（LLM-powered screenplay-to-. It is categorized as a MCP Server with 95 GitHub stars.
story-shot-agent is primarily written in Python. It covers topics such as agent-to-agent, ai-filmmaking, ai-video-generation.
You can find installation instructions and usage details in the story-shot-agent GitHub repository at github.com/neopen/story-shot-agent. The project has 95 stars and 22 forks, indicating an active community.
story-shot-agent is released under the MIT license, making it free to use and modify according to the license terms.
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