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Fitness Influencer MCP

Communauté Santé

Workflow automation for fitness content creators: jump-cut video editing, revenue analytics and branded content creation.

Code source Documentation

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Fitness Influencer AI Assistant
  2. Status: Live
  3. Features
  4. Directory Structure
  5. Quick Start
  6. Environment Variables
  7. API Endpoints (FastAPI)
  8. Skill Configuration
  9. Related Documentation

Fitness Influencer AI Assistant

mcp-name: io.github.wmarceau/fitness-influencer

AI-powered automation suite for fitness content creators. Automates video editing, graphics creation, email management, SMS communication, and revenue analytics.

Status: Live

Production URL: https://fitness-influencer-production.up.railway.app (if deployed)

Features

FeatureScriptCost
Jump-cut video editingvideo_jumpcut.pyFREE
Educational graphicseducational_graphics.pyFREE
Gmail summarizationgmail_monitor.pyFREE
Revenue analyticsrevenue_analytics.pyFREE
AI image generationgrok_image_gen.py$0.07/image
Calendar reminderscalendar_reminders.pyFREE
Workout plan generationworkout_plan_generator.pyFREE
Nutrition guidesnutrition_guide_generator.pyFREE
Video ads (Shotstack)shotstack_api.py~$0.27/video
SMS notificationstwilio_sms.py~$0.01/SMS

Directory Structure

fitness-influencer/
├── src/                    # Python execution scripts
│   ├── video_jumpcut.py
│   ├── educational_graphics.py
│   ├── gmail_monitor.py
│   ├── revenue_analytics.py
│   ├── grok_image_gen.py
│   ├── calendar_reminders.py
│   ├── nutrition_guide_generator.py
│   ├── workout_plan_generator.py
│   ├── shotstack_api.py
│   ├── video_ads.py
│   ├── creatomate_api.py
│   ├── intelligent_video_router.py
│   ├── fitness_assistant_api.py
│   └── twilio_sms.py
├── frontend/               # Web interface
│   ├── index.html
│   └── terms.html
├── docs/                   # Documentation
└── README.md

Quick Start

1. Video Jump-Cut Editing
python src/video_jumpcut.py --input raw_video.mp4 --output edited.mp4
2. Create Educational Graphic
python src/educational_graphics.py --title "5 Morning Habits" --points "Wake early,Hydrate,Stretch,Protein,Plan day" --platform instagram_post
3. Summarize Emails
python src/gmail_monitor.py --hours 24
4. Generate AI Image
python src/grok_image_gen.py --prompt "Fitness athlete doing deadlift" --count 1

Environment Variables

# Google APIs
GOOGLE_CREDENTIALS_PATH=credentials.json

# AI Services
XAI_API_KEY=your_xai_key_here

# Video Services
SHOTSTACK_API_KEY=your_shotstack_key
CREATOMATE_API_KEY=your_creatomate_key

# Communication
TWILIO_ACCOUNT_SID=your_twilio_sid
TWILIO_AUTH_TOKEN=your_twilio_token
TWILIO_PHONE_NUMBER=+1234567890

API Endpoints (FastAPI)

When running the API server:

EndpointMethodDescription
/GETHealth check
/api/video/jumpcutPOSTProcess video with jump cuts
/api/graphics/createPOSTCreate educational graphic
/api/email/summaryGETGet email summary
/api/image/generatePOSTGenerate AI image

Skill Configuration

Located at: .claude/skills/fitness-influencer-operations/SKILL.md

Trigger phrases:

  • "edit video with jump cuts"
  • "create fitness graphic"
  • "summarize my emails"
  • "generate fitness image"
  • "create workout plan"
  • Main directive: directives/fitness_influencer_operations.md
  • Skill definition: .claude/skills/fitness-influencer-operations/SKILL.md
  • Use cases: .claude/skills/fitness-influencer-operations/USE_CASES.json

Questions fréquentes

Qu'est-ce que Fitness Influencer MCP ?

Workflow automation for fitness content creators: jump-cut video editing, revenue analytics and branded content creation.

Comment installer Fitness Influencer MCP ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Fitness Influencer MCP est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient Fitness Influencer MCP ?

Il est publié par MarceauSolutions. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.