This server plugs into Instagram's automation APIs to handle the full content lifecycle: posting images, Reels, carousels, and Stories, plus pulling analytics data back out. It's built by the same developer behind a multi-project AI automation sandbox that includes fitness influencer content generation and other social media workflows, so it's designed to slot into broader orchestration pipelines. The source repo shows it's part of a three-layer architecture pattern where Claude reads directives, makes decisions, and calls deterministic Python scripts. Reach for this when you need programmatic Instagram publishing without clicking through the app, especially if you're already running content generation or scheduling logic that needs a posting endpoint.
Central development workspace for AI-powered automation assistants using the 3-Layer Architecture (Directive → Orchestration → Execution).
See PROJECT_INDEX.md for detailed file paths and switching between projects.
| Project | Status | Directory | Production URL |
|---|---|---|---|
| Fitness Influencer | Live | projects/fitness-influencer/ | Railway |
| Interview Prep | Live | interview-prep-pptx/ | Railway |
| Amazon Seller | Dev | projects/amazon-seller/ | - |
| Naples Weather | Dev | projects/naples-weather/ | - |
dev-sandbox/
├── projects/ # Individual AI assistant projects
│ ├── fitness-influencer/ # Fitness content automation
│ │ ├── src/ # Python scripts
│ │ ├── frontend/ # Web interface
│ │ └── README.md
│ ├── interview-prep/ # → symlink to interview-prep-pptx/
│ ├── amazon-seller/ # Amazon SP-API automation
│ │ └── src/
│ ├── naples-weather/ # Weather report generator
│ └── shared/ # Shared utilities across projects
│ ├── ai/ # AI services (Grok)
│ ├── google/ # Google APIs (Gmail, Sheets)
│ ├── analytics/ # Business analytics
│ └── communication/ # SMS, email
│
├── interview-prep-pptx/ # Railway-linked Interview Prep project
│ ├── src/
│ ├── frontend/
│ ├── Procfile
│ └── railway.json
│
├── execution/ # All execution scripts (skill access)
├── directives/ # SOPs in Markdown format
├── .claude/skills/ # Skill configurations
│
├── PROJECT_INDEX.md # Quick navigation guide
├── index.html # Main website homepage
├── setup_form.html # Fitness Influencer setup form
└── deploy_to_skills.py # Deployment pipeline
cd projects/fitness-influencer # Fitness Influencer
cd interview-prep-pptx # Interview Prep
cd projects/amazon-seller # Amazon Seller
| Project | Scripts | Frontend | Skill | Directive |
|---|---|---|---|---|
| Fitness | projects/fitness-influencer/src/ | projects/fitness-influencer/frontend/ | .claude/skills/fitness-influencer-operations/ | directives/fitness_influencer_operations.md |
| Interview | interview-prep-pptx/src/ | interview-prep-pptx/frontend/ | .claude/skills/interview-prep/ | directives/interview_prep.md |
| Amazon | projects/amazon-seller/src/ | TODO | .claude/skills/amazon-seller-operations/ | directives/amazon_seller_operations.md |
Common services used across projects (located in projects/shared/):
| Utility | Path | Used By |
|---|---|---|
| Grok AI Images | shared/ai/grok_image_gen.py | Fitness, Interview |
| Gmail Monitor | shared/google/gmail_monitor.py | Fitness, Amazon |
| Revenue Analytics | shared/analytics/revenue_analytics.py | Fitness, Amazon |
| Twilio SMS | shared/communication/twilio_sms.py | Fitness, Amazon |
cd interview-prep-pptx
railway up
railway domain
python deploy_to_skills.py --project fitness-influencer-operations
All projects share the root .env file:
# AI Services (All projects)
ANTHROPIC_API_KEY=xxx
XAI_API_KEY=xxx
# Google APIs (Fitness, Amazon)
GOOGLE_CREDENTIALS_PATH=credentials.json
# Amazon SP-API (Amazon only)
AMAZON_SELLER_ID=xxx
AMAZON_CLIENT_ID=xxx
AMAZON_CLIENT_SECRET=xxx
# Video Services (Fitness only)
SHOTSTACK_API_KEY=xxx
CREATOMATE_API_KEY=xxx
# Communication (Fitness, Amazon)
TWILIO_ACCOUNT_SID=xxx
TWILIO_AUTH_TOKEN=xxx
directives/) - SOPs defining what to doexecution/) - Deterministic Python scriptsprojects/{project}/src/ or interview-prep-pptx/src/cp {project}/src/*.py execution/.claude/skills/{skill-name}/SKILL.mddeploy_to_skills.pyWhen switching projects mid-session, just say:
projects/amazon-seller/projects/fitness-influencer/interview-prep-pptx/Features can be shared between projects using projects/shared/.
INSTAGRAM_ACCESS_TOKENFacebook/Instagram Graph API access token
INSTAGRAM_ACCOUNT_IDInstagram Business Account ID (optional, auto-detected)
makafeli/n8n-workflow-builder
danishashko/make-mcp
lukisch/n8n-manager-mcp
io.github.us-all/airflow
io.github.infoinlet-marketplace/mcp-workflow