Fitness Influencer Operations MCP

Comprehensive toolkit for fitness content creators: video editing, AI image generation, analytics, and content planning.

Registry Information

• Namespace: io.github.williammarceaujr/fitness-influencer
• Category: Content Creation
• Connectivity: Hybrid (local + API)

Tools

Video Operations

#### create_jump_cut_video Automatically remove silence from videos using FFmpeg.

Input:

• input_video_path (string, required): Path to input video
• output_video_path (string, optional): Output path
• silence_threshold (number, default: -40): Silence threshold in dB
• min_silence_duration (number, default: 0.3): Min silence to cut
• generate_thumbnail (boolean, default: false): Generate thumbnail

Output:

{
  "success": true,
  "output_path": "/path/to/edited.mp4",
  "thumbnail_path": "/path/to/thumbnail.jpg"
}

Cost: FREE (local FFmpeg)

#### add_video_branding Add intro and outro to videos.

Input:

• video_path (string, required): Main video
• intro_path (string, optional): Intro video
• outro_path (string, optional): Outro video
• output_path (string, required): Output path

Cost: FREE

AI Content Generation

#### generate_fitness_image Generate AI images using Grok/xAI Aurora model.

Input:

• prompt (string, required): Image description
• count (integer, default: 1): Number of images (1-10)
• output_path (string, optional): Save path

Output:

{
  "success": true,
  "images": ["url1", "url2"],
  "cost": "$0.14"
}

Cost: $0.07 per image

Content Planning

#### generate_workout_plan Create customized workout plans.

Input:

• goal (string, required): muscle_gain, strength, endurance
• experience (string, required): beginner, intermediate, advanced
• days_per_week (integer, required): 3-6
• equipment (string, required): full_gym, home_gym, minimal

Output: Complete workout plan with exercises, sets, reps

Cost: FREE

Analytics

#### get_revenue_report Generate revenue analytics from Google Sheets.

Input:

• sheet_id (string, required): Google Sheets ID
• month (string, optional): YYYY-MM format

Output:

{
  "success": true,
  "report": {
    "totals": {
      "revenue": 5000,
      "expenses": 1200,
      "profit": 3800,
      "margin": 76.0
    },
    "growth": {
      "revenue": 15.2,
      "expenses": -5.1
    }
  }
}

Requires: Google Sheets API credentials

#### analyze_content_engagement Analyze content performance (placeholder for social media API integration).

Features

Video Editing

• Automatic silence detection and removal
• Jump cut creation for engaging content
• Branded intro/outro insertion
• Thumbnail generation from best frame
• Support for MP4, MOV, AVI formats

AI Image Generation

• Photorealistic fitness images
• Batch generation (up to 10 images)
• Automatic cost tracking
• Direct download option

Workout Planning

• Customized training splits
• Exercise selection by equipment
• Sets/reps based on experience
• Export to markdown and JSON

Revenue Analytics

• Revenue by source tracking
• Expense categorization
• Month-over-month growth
• Profit margin analysis

Dependencies

# Video editing
pip install moviepy pillow

# AI image generation
pip install requests python-dotenv

# Analytics
pip install google-auth google-auth-oauthlib google-api-python-client

# MCP server
pip install mcp

System Requirements

# FFmpeg for video processing
brew install ffmpeg  # macOS
apt-get install ffmpeg  # Ubuntu

Configuration

Create .env file:

# Grok/xAI for image generation
XAI_API_KEY=your_xai_api_key

# Google APIs (for analytics)
GOOGLE_CLIENT_ID=your_client_id
GOOGLE_CLIENT_SECRET=your_client_secret

Running the Server

python mcp-server/fitness_influencer_mcp.py

Example Usage

# Via MCP client

# Create jump cut video
result = await client.call_tool("create_jump_cut_video", {
    "input_video_path": "/raw/workout.mp4",
    "silence_threshold": -35,
    "generate_thumbnail": True
})

# Generate fitness image
images = await client.call_tool("generate_fitness_image", {
    "prompt": "Fitness influencer doing deadlifts in modern gym, dramatic lighting",
    "count": 3
})

# Create workout plan
plan = await client.call_tool("generate_workout_plan", {
    "goal": "muscle_gain",
    "experience": "intermediate",
    "days_per_week": 4,
    "equipment": "full_gym"
})

# Get revenue report
report = await client.call_tool("get_revenue_report", {
    "sheet_id": "1abc...",
    "month": "2026-01"
})

Revenue Model

• Market: Fitness content creators, influencers
• Moat: Multi-capability orchestration (video + AI + analytics)
• Value: Time savings (hours per video), professional quality

Cost Summary