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Levea MCP Server

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Autonomous AI video editor over MCP: viral clips, captions, reframe, chroma key, MP4 export

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "levea-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "levea-mcp-server"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

Levea β€” Agentic Video Production Platform

The professional agentic production environment for editable video. Levea turns natural-language creative direction, transcripts, and source media into fully structured, editable video projects, executes edits through a deterministic production harness, verifies the result, and renders delivery files.

npm MCP Registry ClawHub Plugin ClawHub Skill License: MIT

Beta Notice: Agentic edits can make mistakes. Always preview every output before publishing. For production-safe and high-impact workflows, use requirePlanApproval: true to halt execution after the planning phase and inspect the proposed edit list.


⚑ The Levea Philosophy: Prompt-to-Project

Unlike traditional one-shot AI video generators that output locked, un-editable pixels, Levea maintains a fully structured, multi-layer project and timeline (Scene IR) containing assets, text, masks, audio, and brand kits.

We use probabilistic Frontier LLMs solely for planning, semantic analysis, and parameter parsing. The actual layout, timing, audio cleanup, face tracking, and composition are executed by a high-performance deterministic video-production harness. Generative media models are optional, modular assets; they do not own the project state.


πŸ—οΈ Platform Architecture

Levea separates probabilistic creative reasoning from deterministic project execution:

text
                     Creative Intent + Source Media
                                  β”‚
                                  β–Ό
               Probabilistic Multimodal Intelligence
                          (Frontier Models)
                                  β”‚
                                  β–Ό
                Typed Edit Graph / Media IR
                        (Scene Graph DAG)
                                  β”‚
                                  β–Ό
               Deterministic Video-Production Harness
                   β”œβ”€β”€ Timeline and Scene Graph
                   β”œβ”€β”€ Media Operators
                   β”œβ”€β”€ Caption and Layout Engine
                   β”œβ”€β”€ Animation and Motion System
                   β”œβ”€β”€ Generative Media Adapters
                   β”œβ”€β”€ Composition and Asset Execution
                   β”‚   β”œβ”€β”€ Remotion β€” cards, charts, diagrams and editorial compositions
                   β”‚   β”œβ”€β”€ Vulkan/WebGPU β€” captions, primitives, effects and final compositing
                   β”‚   β”œβ”€β”€ Lottie β€” verified authored vector assets
                   β”‚   β”œβ”€β”€ HyperFrames β€” verified data-driven motion composites
                   β”‚   └── Omni/Veo β€” generated supporting media
                   β”œβ”€β”€ Validators
                   β”œβ”€β”€ Project Versioning
                   └── Export Pipeline
                                  β”‚
                                  β–Ό
                  Verification β†’ Bounded Repair β†’ Editable Scene
                                                    β”œβ”€β”€ Return
                                                    β”œβ”€β”€ Queue Media Work
                                                    └── Optional Export

1. Multimodal planning

The planning layer interprets user prompts, transcripts, visual references, and timeline boundaries. It compiles raw natural language into a highly optimized, typed Workflow DAG of sequential and parallel editing operations. The hosted planner currently utilizes Gemini through Google AI and Vertex AI.

2. Workflow DAG and Scene IR (Intermediate Representation)

These represent the dual brain-body architecture of Levea:

  • The Workflow DAG maps the editing tasks, dependencies, gating, verifiers, and asset-generation jobs.
  • The Scene IR is the serializable media schema representing the complete timeline: canvas dimensions, tracks, layers, custom transitions, effects, and assets.

Separating intent from execution makes edits fully inspectable, repeatable, and independently repairable without transferring project ownership to an LLM.

3. Deterministic Production Harness

Typed production operators execute the plan against the scene graph. The native renderer compiles Scene compositions through native Vulkan and browser WebGPU paths, subsequently compositing them with verified composition assets produced by Remotion (which handles rich editorial layouts, cards, and diagrams).

4. Versioning and Export

All revisions are saved in a durable, linear undo/redo history backed by immutable scene payloads, preventing state corruption during multi-step iterations. Export is optionalβ€”Levea can return the updated editable scene, queue asset rendering, deliver an MP4, or bundle assets for multi-platform delivery.


πŸ› οΈ Dual-Path Quickstart (Get Started in 60 Seconds)

Whether you are an AI developer looking to integrate automated editing into your agent loops, or a content creator building an automated faceless channel, Levea has a native path for you.

πŸ§‘β€πŸ’» Path A: For Developers & AI Engineers (The MCP Route)

Expose Levea as a client-side Model Context Protocol (MCP) server stdio wrapper (levea-mcp-server) in your favorite AI editors (Cursor, Cline, Windsurf, or Claude Desktop).

1. Get an API Key

Sign up at studio.livecore.ai and generate a Levea API key.

2. Register the MCP Server

Add the following configuration block to your editor's MCP settings:

JSON Config
{
  "mcpServers": {
    "levea": {
      "command": "npx",
      "args": ["-y", "levea-mcp-server"],
      "env": {
        "LEVEA_API_URL": "https://api.livecore.ai",
        "LEVEA_API_KEY": "your-key-from-studio.livecore.ai"
      }
    }
  }
}

Note: LEVEA_API_URL should point to the bare host domain https://api.livecore.ai. The client-side wrapper handles endpoint appending automatically.

ClientSetup Commands / Instructions
Cursor & WindsurfGo to Settings -> Features -> MCP -> Add New MCP Server. Set type to command and insert the config above.
ClineOpen settings, scroll to MCP, and add the config to the Cline MCP settings file.
Claude CodeRun: claude mcp add levea -e LEVEA_API_URL=https://api.livecore.ai -e LEVEA_API_KEY=... -- npx -y levea-mcp-server
Claude DesktopAdd the server block to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

🎨 Path B: For Creators & Marketers (The OpenClaw Route)

Deploy Levea as an autonomous editing agent directly inside the OpenClaw workspace.

  1. Install the Plugin: Search for openclaw-ai-video-editor on ClawHub and install it to gain system-level execution, asset upload UI, and rendering support.
  2. Install the Skill: Subscribe to levea-ai-video-editor on ClawHub Skills directory to give your agent professional editorial taste, system instructions, and pacing rules.
  3. Run your first edit:

    "Review my vertical video, remove the opening silence, auto-apply Hormozi-style captions with highlighted keywords, add subtle background music, and export the Reels-ready MP4."


🧩 OpenClaw Integration: Plugin vs. Skill

Levea is built for modular agent platforms. When deploying Levea inside platforms like OpenClaw or Hermes, we split execution capabilities from cognitive strategies:

  • The Plugin (openclaw-ai-video-editor): Acts as the physical body. It exposes the core MCP tool surface, registers tool schemas, manages API keys, sets up SSE progress pipelines, and handles physical file uploads and rendering hooks.
  • The Skill (levea-ai-video-editor): Acts as the cognitive mind. It is a prompt-engineered, context-aware instruction set (system prompts and few-shot creative templates) that teaches the agent how to act as a professional directorβ€”enforcing brand rules, safe zones, timing pacing, and layout aesthetics.

We recommend installing both to unlock the full power of autonomous editing with a professional finish.


🎬 What You Can Ask For (Creator & Dev Use Cases)

Levea supports a wide range of natural-language production instructions:

Use Case / RequestTypical Autonomous Production PathOrganic Keywords
Faceless Channel GeneratorSegment transcript, plan layout, overlay B-roll, generate AI background music, and render.faceless-video, auto-reels, short-form-video
CapCut Auto-Cap AlternativeRun whisper transcription, highlight keywords, style fonts, align timing, and apply animation presets.auto-captions, video-subtitles, kinetic-typography
Shorts & Reels HighlightsExtract high-engagement hooks, crop canvas to vertical 9:16 safe zones, and apply motion graphics.viral-clips, clip-generator, tiktok-video, youtube-shorts
Corporate Interview PolishCut long silence gaps, bleep profanity, apply color grades, and add lower third speaker graphics.silence-removal, audio-cleanup, lower-thirds
Green Screen & Backdrop SwapIsolate speaker matte, layer background photo/video, align depth tracks, and composite.chroma-key, green-screen, background-removal
Multi-Cam Active Speaker CutsSynchronize dual camera angles, run diarization, and automatically cut to the active speaker.multi-cam-sync, active-speaker, video-automation

βš™οΈ Robust Verification & Repair Containment

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Levea MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "levea-mcp-server": { "command": "npx", "args": ["-y", "levea-mcp-server"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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