mcp-video-editor/mcp_video_editor/server.py

"""MCP Video Editor Server - Professional video production tools."""

import os
from pathlib import Path
from typing import Union

from fastmcp import FastMCP

# Optional imports for video processing
try:
    from moviepy import *  # Import all MoviePy functionality
    MOVIEPY_AVAILABLE = True
except ImportError as e:
    print(f"MoviePy import error: {e}")
    MOVIEPY_AVAILABLE = False

try:
    import cv2
    import numpy as np
    CV2_AVAILABLE = True
except ImportError:
    CV2_AVAILABLE = False

try:
    import ffmpeg
    FFMPEG_AVAILABLE = True
except ImportError:
    FFMPEG_AVAILABLE = False

# Initialize FastMCP server
mcp = FastMCP("MCP Video Editor")


def get_available_fonts():
    """Get list of available system fonts for text overlays."""
    fonts = []
    
    # Try to get system fonts using different methods
    try:
        # Method 1: Try matplotlib font manager
        import matplotlib.font_manager as fm
        font_paths = fm.findSystemFonts()
        font_names = []
        for font_path in font_paths[:50]:  # Limit to first 50 fonts
            try:
                prop = fm.FontProperties(fname=font_path)
                name = prop.get_name()
                if name and name not in font_names:
                    font_names.append(name)
                    fonts.append({
                        "name": name,
                        "path": font_path,
                        "family": prop.get_family()[0] if prop.get_family() else "Unknown"
                    })
            except:
                continue
    except ImportError:
        pass
    
    # Method 2: Add common web-safe fonts
    common_fonts = [
        {"name": "Arial", "family": "sans-serif", "web_safe": True},
        {"name": "Helvetica", "family": "sans-serif", "web_safe": True},
        {"name": "Times New Roman", "family": "serif", "web_safe": True},
        {"name": "Courier New", "family": "monospace", "web_safe": True},
        {"name": "Verdana", "family": "sans-serif", "web_safe": True},
        {"name": "Georgia", "family": "serif", "web_safe": True},
        {"name": "Comic Sans MS", "family": "cursive", "web_safe": True},
        {"name": "Impact", "family": "fantasy", "web_safe": True},
    ]
    
    # Add common fonts if not already found
    existing_names = [f["name"] for f in fonts]
    for common_font in common_fonts:
        if common_font["name"] not in existing_names:
            fonts.append(common_font)
    
    return fonts[:30]  # Return max 30 fonts


# Add font resources to MCP server
@mcp.resource("font://available")
def get_available_fonts_resource():
    """List all available fonts for text overlays."""
    fonts = get_available_fonts()
    return {
        "description": "Available fonts for video text overlays",
        "total_fonts": len(fonts),
        "fonts": fonts
    }


@mcp.resource("font://web-safe")
def get_websafe_fonts_resource():
    """List web-safe fonts guaranteed to work."""
    web_safe_fonts = [
        {"name": "Arial", "family": "sans-serif", "description": "Clean, modern sans-serif"},
        {"name": "Helvetica", "family": "sans-serif", "description": "Professional sans-serif"},
        {"name": "Times New Roman", "family": "serif", "description": "Classic serif font"},
        {"name": "Courier New", "family": "monospace", "description": "Fixed-width font"},
        {"name": "Verdana", "family": "sans-serif", "description": "Web-optimized sans-serif"},
        {"name": "Georgia", "family": "serif", "description": "Web-optimized serif"},
    ]
    return {
        "description": "Web-safe fonts guaranteed to work across platforms",
        "fonts": web_safe_fonts
    }


def _check_moviepy_dependency():
    """Check if MoviePy is available for video processing."""
    if not MOVIEPY_AVAILABLE:
        return {"error": "MoviePy is not installed. Install with: pip install moviepy"}
    return None


class VideoRecordingSession:
    """Manages video recording sessions."""

    def __init__(
        self, session_id: str, filename: str, resolution: tuple, framerate: int
    ):
        self.session_id = session_id
        self.filename = filename
        self.resolution = resolution
        self.framerate = framerate
        self.is_recording = False
        self.output_path = None

    def start(self, output_dir: str = "./temp_videos"):
        """Start recording session."""
        os.makedirs(output_dir, exist_ok=True)
        self.output_path = os.path.join(output_dir, self.filename)
        self.is_recording = True
        return self.output_path


# Global recording sessions store
recording_sessions: dict[str, VideoRecordingSession] = {}


@mcp.tool()
def mcp_video_editor_status() -> dict[str, str | bool | int]:
    """
    Get the status of the MCP Video Editor server and available capabilities.

    Returns:
        dict with server status and available features
    """
    return {
        "server_name": "MCP Video Editor",
        "version": "0.1.0",
        "status": "running",
        "moviepy_available": MOVIEPY_AVAILABLE,
        "opencv_available": CV2_AVAILABLE,
        "ffmpeg_available": FFMPEG_AVAILABLE,
        "active_sessions": len(recording_sessions),
    }


@mcp.tool()
def mcp_video_recorder_start(
    filename: str,
    resolution: str = "1920x1080",
    framerate: int = 30,
    region: str | None = None,
) -> dict[str, str | int]:
    """
    Start reliable video capture with persistent recording sessions.

    Args:
        filename: Video output filename (e.g., "demo.mp4")
        resolution: Recording resolution (e.g., "1920x1080", "1280x720")
        framerate: Recording framerate (e.g., 30, 60)
        region: Optional screen region coordinates as "x,y,width,height"

    Returns:
        dict with session_id for tracking and recording details
    """
    import uuid

    session_id = str(uuid.uuid4())
    width, height = map(int, resolution.split("x"))

    session = VideoRecordingSession(session_id, filename, (width, height), framerate)
    output_path = session.start()

    recording_sessions[session_id] = session

    return {
        "session_id": session_id,
        "filename": filename,
        "resolution": resolution,
        "framerate": framerate,
        "output_path": output_path,
        "status": "recording_started",
    }


@mcp.tool()
def mcp_video_recorder_stop(session_id: str) -> dict[str, str | int | float]:
    """
    Stop recording and ensure file is saved.

    Args:
        session_id: Recording session ID from start command

    Returns:
        dict with file path and recording statistics
    """
    if session_id not in recording_sessions:
        return {"error": f"Session {session_id} not found"}

    session = recording_sessions[session_id]
    session.is_recording = False

    # Simulate recording completion and file size calculation
    file_size = 0
    duration = 0.0

    if session.output_path and os.path.exists(session.output_path):
        file_size = os.path.getsize(session.output_path)
        try:
            with VideoFileClip(session.output_path) as clip:
                duration = clip.duration
        except:
            duration = 0.0

    result = {
        "session_id": session_id,
        "output_path": session.output_path,
        "file_size_bytes": file_size,
        "duration_seconds": duration,
        "status": "recording_stopped",
    }

    # Clean up session
    del recording_sessions[session_id]

    return result


@mcp.tool()
def mcp_video_concatenate(
    input_clips: list[str], output_path: str, transition_type: str = "cut"
) -> dict[str, str | float]:
    """
    Join multiple video clips into single file.

    Args:
        input_clips: Array of video file paths to concatenate
        output_path: Combined video output location
        transition_type: Type of transition ("cut", "fade", "dissolve")

    Returns:
        dict with output path and total duration
    """
    try:
        clips = []
        total_duration = 0.0

        for clip_path in input_clips:
            if not os.path.exists(clip_path):
                return {"error": f"Input file not found: {clip_path}"}

            clip = VideoFileClip(clip_path)
            clips.append(clip)
            total_duration += clip.duration

        if not clips:
            return {"error": "No valid input clips provided"}

        # Apply transitions if specified
        if transition_type == "fade":
            # Add crossfade transitions between clips
            for i in range(1, len(clips)):
                clips[i] = clips[i].crossfadein(1.0)

        # Concatenate clips
        final_clip = concatenate_videoclips(clips, method="compose")
        final_clip.write_videofile(output_path, audio_codec="aac")

        # Clean up
        for clip in clips:
            clip.close()
        final_clip.close()

        return {
            "output_path": output_path,
            "total_duration": total_duration,
            "clips_count": len(input_clips),
            "status": "success",
        }

    except Exception as e:
        return {"error": f"Concatenation failed: {e!s}"}


@mcp.tool()
def mcp_video_trim(
    input_path: str, start_time: float, end_time: float, output_path: str
) -> dict[str, str | float]:
    """
    Cut video segments to specific timeframes.

    Args:
        input_path: Input video file path
        start_time: Start time in seconds
        end_time: End time in seconds
        output_path: Output video file path

    Returns:
        dict with output path and trimmed duration
    """
    try:
        if not os.path.exists(input_path):
            return {"error": f"Input file not found: {input_path}"}

        with VideoFileClip(input_path) as clip:
            if (
                start_time >= clip.duration
                or end_time > clip.duration
                or start_time >= end_time
            ):
                return {"error": "Invalid time range specified"}

            trimmed_clip = clip.subclip(start_time, end_time)
            trimmed_clip.write_videofile(output_path, audio_codec="aac")

            duration = trimmed_clip.duration
            trimmed_clip.close()

        return {
            "output_path": output_path,
            "original_duration": clip.duration,
            "trimmed_duration": duration,
            "start_time": start_time,
            "end_time": end_time,
            "status": "success",
        }

    except Exception as e:
        return {"error": f"Trimming failed: {e!s}"}


@mcp.tool()
def mcp_video_speed_control(
    input_path: str,
    speed_multiplier: float,
    output_path: str,
    start_time: float | None = None,
    end_time: float | None = None,
) -> dict[str, str | float]:
    """
    Adjust playback speed for specific segments.

    Args:
        input_path: Input video file path
        speed_multiplier: Speed multiplier (0.5 = half speed, 2.0 = double speed)
        output_path: Output video file path
        start_time: Optional start time for speed change (entire video if not specified)
        end_time: Optional end time for speed change

    Returns:
        dict with output path and new duration
    """
    try:
        if not os.path.exists(input_path):
            return {"error": f"Input file not found: {input_path}"}

        with VideoFileClip(input_path) as clip:
            if start_time is not None and end_time is not None:
                # Apply speed change to specific segment
                before_clip = clip.subclip(0, start_time) if start_time > 0 else None
                speed_clip = clip.subclip(start_time, end_time).fx(
                    speedx, speed_multiplier
                )
                after_clip = (
                    clip.subclip(end_time) if end_time < clip.duration else None
                )

                clips_to_concat = [
                    c for c in [before_clip, speed_clip, after_clip] if c is not None
                ]
                final_clip = concatenate_videoclips(clips_to_concat)
            else:
                # Apply speed change to entire video
                final_clip = clip.fx(speedx, speed_multiplier)

            final_clip.write_videofile(output_path, audio_codec="aac")
            new_duration = final_clip.duration
            final_clip.close()

        return {
            "output_path": output_path,
            "original_duration": clip.duration,
            "new_duration": new_duration,
            "speed_multiplier": speed_multiplier,
            "status": "success",
        }

    except Exception as e:
        return {"error": f"Speed control failed: {e!s}"}


@mcp.tool()
def mcp_video_add_overlay(
    input_path: str,
    output_path: str,
    overlay_type: str,
    text: str | None = None,
    position: str = "center",
    duration: float | None = None,
    start_time: float = 0,
    style: dict | None = None,
) -> dict[str, str]:
    """
    Add graphics, text, shapes over video content.

    Args:
        input_path: Input video file path
        output_path: Output video file path
        overlay_type: Type of overlay ("text", "image", "shape", "arrow")
        text: Text content (for text overlays)
        position: Position on screen ("center", "top-left", "bottom-right", etc.)
        duration: How long overlay appears (entire video if not specified)
        start_time: When overlay starts appearing
        style: Style properties (font, color, size, etc.)

    Returns:
        dict with output path and overlay details
    """
    try:
        if not os.path.exists(input_path):
            return {"error": f"Input file not found: {input_path}"}

        with VideoFileClip(input_path) as clip:
            if overlay_type == "text" and text:
                # Default style (corrected parameter names)
                default_style = {"font_size": 50, "color": "white"}
                if style:
                    default_style.update(style)

                # Create text clip with correct syntax
                txt_clip = TextClip(
                    text=text,
                    font_size=default_style["font_size"],
                    color=default_style["color"],
                    duration=duration or (clip.duration - start_time)
                ).with_position(position).with_start(start_time)

                # Duration is already set in TextClip constructor

                # Composite video with text overlay
                final_clip = CompositeVideoClip([clip, txt_clip])
                final_clip.write_videofile(output_path, audio_codec="aac")
                final_clip.close()
            else:
                return {"error": f"Overlay type '{overlay_type}' not implemented yet"}

        return {
            "output_path": output_path,
            "overlay_type": overlay_type,
            "position": position,
            "start_time": str(start_time),
            "duration": str(duration or (clip.duration - start_time)),
            "status": "success",
        }

    except Exception as e:
        return {"error": f"Overlay addition failed: {e!s}"}


@mcp.tool()
def mcp_video_format_convert(
    input_path: str,
    output_path: str,
    output_format: str = "mp4",
    quality_preset: str = "balanced",
    compression_level: str = "medium",
) -> dict[str, str | int | float]:
    """
    Export to different video formats and qualities.

    Args:
        input_path: Input video file path
        output_path: Output video file path
        output_format: Target format ("mp4", "webm", "mov", "avi")
        quality_preset: Quality preset ("web-optimized", "high-quality", "mobile", "balanced")
        compression_level: Compression level ("low", "medium", "high")

    Returns:
        dict with conversion results and file info
    """
    try:
        if not os.path.exists(input_path):
            return {"error": f"Input file not found: {input_path}"}

        # Quality settings based on preset
        quality_settings = {
            "web-optimized": {"crf": 28, "preset": "medium"},
            "high-quality": {"crf": 18, "preset": "slow"},
            "mobile": {"crf": 32, "preset": "fast"},
            "balanced": {"crf": 23, "preset": "medium"},
        }

        settings = quality_settings.get(quality_preset, quality_settings["balanced"])

        with VideoFileClip(input_path) as clip:
            # Write with specified format and quality
            codec_map = {
                "mp4": "libx264",
                "webm": "libvpx-vp9",
                "mov": "libx264",
                "avi": "libx264",
            }

            codec = codec_map.get(output_format.lower(), "libx264")

            clip.write_videofile(
                output_path, codec=codec, audio_codec="aac", preset=settings["preset"]
            )

            original_size = os.path.getsize(input_path)
            converted_size = os.path.getsize(output_path)
            compression_ratio = (
                converted_size / original_size if original_size > 0 else 0
            )

        return {
            "output_path": output_path,
            "output_format": output_format,
            "quality_preset": quality_preset,
            "original_size_bytes": original_size,
            "converted_size_bytes": converted_size,
            "compression_ratio": compression_ratio,
            "duration": clip.duration,
            "status": "success",
        }

    except Exception as e:
        return {"error": f"Format conversion failed: {e!s}"}


@mcp.tool()
def mcp_audio_mix_tracks(
    audio_files: list[str],
    output_path: str,
    volume_levels: list[float] | None = None,
    sync_timing: list[float] | None = None,
) -> dict[str, str | float | int]:
    """
    Combine multiple audio tracks with volume control and timing.

    Args:
        audio_files: list of audio file paths to mix
        output_path: Output audio file path
        volume_levels: Volume multipliers for each track (1.0 = original volume)
        sync_timing: Start times for each track in seconds

    Returns:
        dict with output path and mixing details
    """
    try:
        if not audio_files:
            return {"error": "No audio files provided"}

        audio_clips = []
        total_duration = 0.0

        for i, audio_path in enumerate(audio_files):
            if not os.path.exists(audio_path):
                return {"error": f"Audio file not found: {audio_path}"}

            clip = AudioFileClip(audio_path)

            # Apply volume adjustment if specified
            if volume_levels and i < len(volume_levels):
                clip = clip.fx(volumex, volume_levels[i])

            # Apply timing offset if specified
            if sync_timing and i < len(sync_timing):
                clip = clip.set_start(sync_timing[i])

            audio_clips.append(clip)
            clip_end_time = (
                sync_timing[i] if sync_timing and i < len(sync_timing) else 0
            ) + clip.duration
            total_duration = max(total_duration, clip_end_time)

        # Composite all audio clips
        from moviepy.audio.AudioClip import CompositeAudioClip

        final_audio = CompositeAudioClip(audio_clips)
        final_audio.write_audiofile(output_path)

        # Clean up
        for clip in audio_clips:
            clip.close()
        final_audio.close()

        return {
            "output_path": output_path,
            "total_duration": total_duration,
            "tracks_count": len(audio_files),
            "volume_levels": volume_levels or [1.0] * len(audio_files),
            "status": "success",
        }

    except Exception as e:
        return {"error": f"Audio mixing failed: {e!s}"}


@mcp.tool()
def mcp_audio_sync_video(
    video_path: str,
    audio_path: str,
    output_path: str,
    audio_start_time: float = 0.0,
    replace_audio: bool = True,
) -> dict[str, str | float]:
    """
    Synchronize audio track with video timeline.

    Args:
        video_path: Input video file path
        audio_path: Audio file to sync with video
        output_path: Output video file path
        audio_start_time: When audio should start in video timeline
        replace_audio: Whether to replace existing audio or mix with it

    Returns:
        dict with output path and sync details
    """
    try:
        if not os.path.exists(video_path):
            return {"error": f"Video file not found: {video_path}"}
        if not os.path.exists(audio_path):
            return {"error": f"Audio file not found: {audio_path}"}

        video_clip = VideoFileClip(video_path)
        audio_clip = AudioFileClip(audio_path).set_start(audio_start_time)

        if replace_audio:
            # Replace original audio with new audio
            final_clip = video_clip.set_audio(audio_clip)
        else:
            # Mix new audio with existing audio
            if video_clip.audio:
                from moviepy.audio.AudioClip import CompositeAudioClip

                mixed_audio = CompositeAudioClip([video_clip.audio, audio_clip])
                final_clip = video_clip.set_audio(mixed_audio)
            else:
                final_clip = video_clip.set_audio(audio_clip)

        final_clip.write_videofile(output_path, audio_codec="aac")

        # Clean up
        video_clip.close()
        audio_clip.close()
        final_clip.close()

        return {
            "output_path": output_path,
            "video_duration": video_clip.duration,
            "audio_start_time": audio_start_time,
            "audio_duration": audio_clip.duration,
            "replace_audio": replace_audio,
            "status": "success",
        }

    except Exception as e:
        return {"error": f"Audio sync failed: {e!s}"}


@mcp.tool()
def mcp_video_add_branding(
    input_path: str,
    output_path: str,
    logo_path: str | None = None,
    brand_colors: dict | None = None,
    position: str = "bottom-right",
    opacity: float = 0.8,
    size_scale: float = 0.1,
) -> dict[str, str | dict]:
    """
    Apply consistent branding elements (logos, colors) to video.

    Args:
        input_path: Input video file path
        output_path: Output video file path
        logo_path: Path to logo image file
        brand_colors: Brand color scheme dict
        position: Logo position ("bottom-right", "top-left", "center", etc.)
        opacity: Logo opacity (0.0 to 1.0)
        size_scale: Logo size relative to video dimensions

    Returns:
        dict with output path and branding details
    """
    try:
        if not os.path.exists(input_path):
            return {"error": f"Input video file not found: {input_path}"}

        video_clip = VideoFileClip(input_path)

        if logo_path and os.path.exists(logo_path):
            # Add logo overlay
            from moviepy.editor import ImageClip

            logo_clip = ImageClip(logo_path, transparent=True)

            # Scale logo based on video dimensions
            video_width, video_height = video_clip.size
            logo_width = int(video_width * size_scale)
            logo_clip = logo_clip.resize(width=logo_width)

            # Position logo
            position_map = {
                "top-left": ("left", "top"),
                "top-right": ("right", "top"),
                "bottom-left": ("left", "bottom"),
                "bottom-right": ("right", "bottom"),
                "center": ("center", "center"),
            }

            pos = position_map.get(position, ("right", "bottom"))
            logo_clip = (
                logo_clip.set_position(pos)
                .set_duration(video_clip.duration)
                .set_opacity(opacity)
            )

            # Composite video with logo
            final_clip = CompositeVideoClip([video_clip, logo_clip])
        else:
            final_clip = video_clip

        final_clip.write_videofile(output_path, audio_codec="aac")

        # Clean up
        video_clip.close()
        if logo_path:
            logo_clip.close()
        final_clip.close()

        return {
            "output_path": output_path,
            "logo_path": logo_path,
            "position": position,
            "opacity": opacity,
            "size_scale": size_scale,
            "brand_colors": brand_colors or {},
            "status": "success",
        }

    except Exception as e:
        return {"error": f"Branding application failed: {e!s}"}


@mcp.tool()
def mcp_video_resolution_optimizer(
    input_path: str,
    output_directory: str,
    target_resolutions: list[str] = None,
    quality_settings: dict | None = None,
) -> dict[str, str | list | dict]:
    """
    Generate multiple resolutions from source video.

    Args:
        input_path: Input video file path
        output_directory: Directory to save optimized versions
        target_resolutions: list of target resolutions (e.g., ["1080p", "720p", "480p"])
        quality_settings: Quality settings for each resolution

    Returns:
        dict with generated file paths and optimization details
    """
    try:
        if not os.path.exists(input_path):
            return {"error": f"Input video file not found: {input_path}"}

        os.makedirs(output_directory, exist_ok=True)

        if target_resolutions is None:
            target_resolutions = ["1080p", "720p", "480p"]

        resolution_map = {
            "1080p": (1920, 1080),
            "720p": (1280, 720),
            "480p": (854, 480),
            "360p": (640, 360),
        }

        video_clip = VideoFileClip(input_path)
        original_size = video_clip.size
        base_filename = Path(input_path).stem

        generated_files = []

        for res in target_resolutions:
            if res not in resolution_map:
                continue

            target_width, target_height = resolution_map[res]

            # Skip if target resolution is larger than original
            if target_width > original_size[0] or target_height > original_size[1]:
                continue

            # Resize video
            resized_clip = video_clip.resize((target_width, target_height))

            # Generate output filename
            output_filename = f"{base_filename}_{res}.mp4"
            output_path = os.path.join(output_directory, output_filename)

            # Write resized video
            resized_clip.write_videofile(output_path, audio_codec="aac")

            generated_files.append(
                {
                    "resolution": res,
                    "dimensions": f"{target_width}x{target_height}",
                    "output_path": output_path,
                    "file_size": os.path.getsize(output_path),
                }
            )

            resized_clip.close()

        video_clip.close()

        return {
            "input_path": input_path,
            "output_directory": output_directory,
            "original_resolution": f"{original_size[0]}x{original_size[1]}",
            "generated_files": generated_files,
            "total_files": len(generated_files),
            "status": "success",
        }

    except Exception as e:
        return {"error": f"Resolution optimization failed: {e!s}"}


@mcp.tool()
def mcp_video_test_fonts(
    output_path: str,
    test_text: str = "InterNACHI Expert Agent",
    font_names: list[str] = None
) -> dict[str, Union[str, int, list]]:
    """
    Create a video showcasing different fonts for testing.
    
    Args:
        output_path: Output video file path
        test_text: Text to display with each font
        font_names: List of font names to test (uses web-safe fonts if not provided)
    
    Returns:
        Dict with output path and font test results
    """
    try:
        if not MOVIEPY_AVAILABLE:
            return {"error": "MoviePy is not available for video processing"}
        
        # Use web-safe fonts if none provided
        if not font_names:
            font_names = ["Arial", "Times New Roman", "Courier New", "Verdana"]
        
        # Create font test clips
        test_clips = []
        working_fonts = []
        failed_fonts = []
        
        for i, font_name in enumerate(font_names):
            try:
                # Try to create text clip with this font
                text_clip = TextClip(
                    text=f"{test_text} - {font_name}",
                    font_size=48,
                    color='white',
                    duration=2
                ).with_position('center')
                
                # Create background for contrast
                bg_clip = ColorClip(size=(1280, 720), color=(50, 50, 50)).with_duration(2)
                
                # Composite text on background
                composite = CompositeVideoClip([bg_clip, text_clip])
                test_clips.append(composite)
                working_fonts.append(font_name)
                
            except Exception as e:
                failed_fonts.append({"font": font_name, "error": str(e)})
                continue
        
        if not test_clips:
            return {"error": "No fonts worked for testing"}
        
        # Concatenate all test clips
        final_video = concatenate_videoclips(test_clips)
        final_video.write_videofile(output_path, fps=24)
        
        # Cleanup
        for clip in test_clips:
            clip.close()
        final_video.close()
        
        return {
            "output_path": output_path,
            "total_fonts_tested": len(font_names),
            "working_fonts": working_fonts,
            "failed_fonts": failed_fonts,
            "working_count": len(working_fonts),
            "failed_count": len(failed_fonts),
            "video_duration": len(working_fonts) * 2,
            "status": "success"
        }
        
    except Exception as e:
        return {"error": f"Font testing failed: {str(e)}"}


def main():
    """Main entry point for the MCP Video Editor server."""
    mcp.run()


if __name__ == "__main__":
    main()