

Mallary
Mallary.ai is a developer-first social media automation platform that unifies publishing, engagement, and analytics behind one clean API and dashboard. Instead of maintaining separate integrations for YouTube, Facebook, Instagram, TikTok, LinkedIn, X, Pinterest, Threads, Reddit...
Cost / License
- Freemium (Subscription)
- Proprietary
Application types
Platforms
- Online
- Software as a Service (SaaS)
Features
- Ad-free
- Marketing Automation
- Command line interface
- Dark Mode
- Model Context Protocol (MCP) Support
- Social Media Analytics
- Social Media Scheduling
- API Integration
- AI-Powered
Tags
Mallary News & Activities
Recent activities
- mallary updated Mallary
- mallary added Mallary
mallary added Mallary as alternative to Zernio, Postiz, Upload-Post and bundle.social
Mallary information
What is Mallary?
Mallary.ai is a developer-first social media automation platform that unifies publishing, engagement, and analytics behind one clean API and dashboard. Instead of maintaining separate integrations for YouTube, Facebook, Instagram, TikTok, LinkedIn, X, Pinterest, Threads, Reddit, and Snapchat, teams post everywhere through a single endpoint, MCP agent interface, or CLI. Mallary manages OAuth, rate limits, token refresh, idempotency, retries, and durable job queues, while validating platform-specific media rules and adapting payloads automatically. Creators and product teams can schedule posts, attach multiple first comments at publish time, and enable near real-time AI auto-replies powered by OpenAI to answer questions, guide CTAs, and keep conversations active. The service is officially verified with major platforms and uses 100% official APIs, eliminating scraping risks and reducing maintenance. Built for extensibility and automation, it supports webhooks, bulk uploads, preflight checks, and integrations with tools like n8n, Zapier, and Make. Pricing ranges from a generous free plan to business tiers, all with trials and guarantees. Mallary is fully white-labelable, letting SaaS builders embed social capabilities without exposing underlying infrastructure.





