Lazynext MCP Server

Lazynext MCP Server

Enables AI agents to read, edit, and export real video projects with a full multitrack timeline, effects, captions, and export capabilities.

Category
访问服务器

README

<div align="center"> <img src="public/lazynext-icon.png" width="96" alt="Lazynext" /> </div>

<h1 align="center">Lazynext</h1>

<p align="center"> <strong>AI video editor — local-first, agent-native, MCP-powered</strong> </p>

<p align="center"> Let AI agents read, edit, and export real video projects that remain fully editable. </p>


What is Lazynext?

Lazynext is a local-first, agent-native AI video editor. It brings conversational AI agents and professional timeline editing into the same workspace. Every edit is written to real tracks, clips, transitions, captions, effects, and media inside the project. You can continue editing manually, undo or redo changes, save versions, or hand the project to another agent.

Lazynext = local video projects + multitrack timeline + AI agents + MCP + production-ready exports.

Key features

  • Agent-native: the built-in agent and external MCP agents share the same editing tools.
  • Real timeline: multiple video and audio tracks, transitions, effects, LUTs, zooms, and keyframes.
  • Transcript-driven editing: word-level transcription, text-based cuts, pause handling, speakers, and linked captions.
  • Generation and media: images, video, speech, music, sound effects, and online media search.
  • Motion Graphics and WebGL: editable motion templates, custom shaders, visual effects, and transitions.
  • Visual geometry: in-browser person segmentation and face-safe zones — captions avoid the speaker automatically, reframe follows the subject, and overlay graphics land in empty space.
  • Production-ready exports: MP4, audio, captions, FCPXML, and complete project data.
  • Local-first: projects and media stay on your machine by default, while API keys remain server-side.

Quick start

Prerequisites

  • Node.js 24 (use fnm or nvm to install)
  • cmake (for building whisper.cpp from source on macOS)

Install and run

git clone https://github.com/Lazynext-Platform/Lazynext.git
cd Lazynext
npm ci
cp .env.example .env
npm run dev

The editor opens at http://localhost:5199.

Configuration

Edit .env to add API keys for the features you want to enable:

  • AI Chat: LLM_ANTHROPIC_API_KEY, LLM_OPENAI_API_KEY, or any supported provider
  • Generation: IMAGE_API_KEY, ELEVENLABS_API_KEY, MUREKA_API_KEY, SEEDANCE_API_KEY
  • Stock media: PEXELS_API_KEY, PIXABAY_API_KEY, UNSPLASH_ACCESS_KEY
  • Cloud transcription: ASSEMBLYAI_API_KEY

The editor runs without any API keys — you just won't have AI chat, generation, or stock media features until you add them.

Desktop app

Build native installers for macOS, Windows, and Linux:

npm run desktop:dist          # macOS arm64
npm run desktop:dist:mac-x64  # macOS x64
npm run desktop:dist:win      # Windows
npm run desktop:dist:linux    # Linux

Agent / MCP

Lazynext exposes a Streamable HTTP MCP endpoint at http://localhost:5199/api/external-mcp/mcp.

Connect external agents like Codex or Claude Code:

  1. Start Lazynext and open Settings → MCP to copy the bearer token.
  2. Register the MCP server in your agent client.
  3. Use lazynext_status → list_projects → target_project → begin_edit_session → editing tools → review_edit_session.

Core capabilities

Area Capabilities
Timeline Multitrack editing, move, trim, split, ripple edits, snapping, keyframes, markers, undo, redo
Visuals WebGL effects, LUTs, chroma key, zoom, transitions, custom shaders
Audio Multiple audio tracks, sound effects, background music, voice-over, loudness, auto-ducking, vocal isolation
Transcript Transcription jobs, word-level editing, pause compression, search, speakers, clip views
Captions Automatic captions, named styles, translation, timeline overlays, SRT export
Motion Graphics Built-in templates, secure sandbox, custom templates, video rendering
AI Generation Image, video, speech, music, sound-effect jobs with progress tracking
Media Uploads, folders, online image/video/audio search
Export MP4, audio, captions, FCPXML, project import/export, hardware-aware H.264 acceleration
Agent Built-in conversational agent, skills, proposal-based edits, external MCP

License

Copyright (c) 2026 Lazynext. All rights reserved.

Documentation

  • Quick Start — installation, configuration, and first run
  • Features — full capability reference
  • FAQ — common questions and troubleshooting

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选