Reply to Your Comments with an API

Reply to Your Comments with an API

Mallary’s social media API lets developers and AI agents post, schedule, list and reply to comments across 10 major platforms (YouTube, Facebook, Instagram, TikTok, LinkedIn, X, Pinterest, Threads, Reddit, Snapchat) with built-in auth, retries, rate-limit handling, and optional OpenAI-powered auto-replies.

Reply to Your Comments with an API is social media software teams evaluate for social media. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 80/100
#62 in Social Media (62 tools)
Just launched
Data reviewed Jul 31, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Social Media

What it does

Social Media software for decision-makers comparing workflow fit and alternatives.

Best fit

Social Media

Pricing snapshot

Freemium from $10 /mo

Next step

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Reply to Your Comments with an API

Mallary provides a unified social media REST API and companion tools (MCP, CLI, dashboard) for publishing, scheduling, analytics, and engagement across 10 platforms. It abstracts platform-specific APIs into one reliable endpoint, managing OAuth, rate limits, retries, media rules, and API changes so teams and agents can integrate quickly and avoid maintaining multiple developer apps.

The platform also includes a comments API to list and reply to comments across supported networks and an OpenAI-powered AI Auto Replies feature to automatically respond to audience comments in near real-time. Mallary targets creators, developers, founders, and autonomous AI agents that need programmatic social publishing and conversational engagement.

Social media APIs for developers and AI agents with MCP and CLI. Post, schedule, and respond automatically on all platforms.

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Key Features

Unified Social Media API

One endpoint to publish to YouTube, Facebook, Instagram, TikTok, LinkedIn, X, Pinterest, Threads, Reddit, and Snapchat; abstracts auth, rate limits, and platform differences.

Comments API (list & reply)

Endpoints to list comments across supported platforms and reply to comments programmatically (example: POST /api/v1/comments/reply).

AI Auto Replies

Optional OpenAI (ChatGPT)-powered auto-replies that detect questions and post context-aware, brand-safe responses near real-time; configurable per dashboard and per post.

Scheduling & Posting

Publish now or schedule posts across platforms with one payload; supports platform-specific formats like YouTube Shorts, Instagram Stories, TikTok carousels and more.

Comments Under Post

Attach up to three follow-up comments at publish time so captions and CTAs can live in comments where supported.

Managed Infrastructure

Automatic token refresh, retries, durable job queues, and US-based publishing servers; handles platform changes and rate limits for you.

Developer Tools: MCP & CLI

MCP (Model Context Protocol) support for AI agents, and an official CLI for automation, scripting, and CI integrations with --json output for pipelines.

Cross-platform Analytics

Aggregated analytics across connected profiles: views, likes, comments, engagement, top posts, and channel comparisons via dashboard, API, CLI, or MCP.

Pricing

Free Tier Available

14-day free trial (no commitment) and a 30-day money-back guarantee.

Starter

$10 /mo
  • 4 accounts per platform
  • 120 posts/month
  • Dashboard + API access
  • Scheduling and analytics

Pro

$24 /mo
  • 10 accounts per platform
  • Unlimited posts/month (subject to fair use)
  • Dashboard + API access
  • AI powered auto-replies

Business

$82 /mo
  • 50 accounts per platform
  • Unlimited posts/month
  • All features including AI auto-replies
  • Faster processing for high-volume workflows

Use Cases

Multi-platform publishing

Post and schedule the same content to multiple social networks with one payload while Mallary handles auth, media rules, retries, and platform quirks.

Programmatic comment management

Aggregate comments from supported platforms, list commenters, and reply to comments via API to scale engagement or integrate with internal workflows.

AI-driven engagement

Use OpenAI-powered auto-replies or expose Mallary to LLM-based agents via MCP to autonomously respond to audience comments and drive conversions.

Analytics and reporting

Collect cross-platform metrics and compare channels from a single dashboard or fetch analytics programmatically for reporting and optimization.

Integrations

MCP (Model Context Protocol)

Expose Mallary posting, scheduling, and analytics directly to AI agents as callable tools and skills. MCP endpoint: https://mallary.ai/mcp

Mallary CLI

Command-line interface for uploading media, scheduling posts, checking job status, and fetching analytics; usable in scripts and CI.

n8n, Make.com (formerly Integromat), Zapier

Official nodes and plug-and-play integrations for automation platforms to build multi-step social workflows without code.

OpenClaw / AI agents

Agent-ready infrastructure and examples for using Mallary skills from autonomous agents.

Benefits

Reduces development time by unifying many platform APIs into a single endpoint and handling OAuth and platform changes.
Automates repetitive social tasks (publishing, scheduling, replies) and scales engagement with AI auto-replies.
Provides production-grade reliability with automatic retries, durable queues, token refresh, and rate-limit handling.

Limitations

Comments Under Post is not supported on TikTok or story-style formats like Facebook Stories, Instagram Stories, or Snapchat posts.
Scheduled posts can only be deleted/canceled before processing starts; active or completed jobs cannot be deleted.
Automatic retries are limited (most transient failures retried up to 3 total attempts) and permanent failures are marked non-retryable.
Rate limits apply per user, per minute across API/MCP/CLI and plan limits may restrict usage.

Frequently Asked Questions

Do you use official APIs for each platform?
Yes. Mallary only uses each platform’s official APIs (Google, TikTok, Facebook, etc.)—no scraping or workarounds. Mallary is a Meta Verified Tech Provider and has passed platform security reviews where required.
Do I need to create developer apps for each platform?
No. Mallary handles developer-app creation, auth and quotas so you can start posting immediately without creating separate developer apps.
Can I integrate Mallary with automation tools like n8n, Zapier, Make or OpenClaw?
Yes. Mallary has an official n8n community node and works with Zapier, Make.com, and other automation platforms; you can also use webhooks and MCP for custom integrations.
How fast do AI Auto Replies happen?
Replies are near-real-time, depending on platform API limits and queue load.
Are there rate limits?
Yes. Rate limits are applied per user, per minute, across the API/MCP/CLI to keep the platform stable.
Where is the MCP endpoint and how do I authenticate?
The MCP endpoint is https://mallary.ai/mcp and you authenticate using your Mallary API key as a Bearer token (Authorization: Bearer <your_api_key>).

Getting Started

  1. 1 Sign up for a Mallary account (14-day free trial available).
  2. 2 Connect social accounts through the Mallary dashboard (no need to create developer apps for each platform).
  3. 3 Grab your API key from the dashboard and call the REST endpoint (example: POST https://mallary.ai/api/v1/post) or use MCP/CLI to automate posting and replies.

Support

Help Center

Documentation and troubleshooting guides available via Mallary’s Help Center on the site.

Email support

Email support is listed as an available channel on the site (access via Mallary dashboard or Help Center).

Developer docs

API reference, code examples, and MCP/CLI docs accessible from the site and Developer Docs links.

API

Available: Yes
Documentation:

Developer Docs and API reference on Mallary’s site with example endpoints (POST /api/v1/post, POST /api/v1/comments/reply) and MCP documentation (https://mallary.ai/mcp).

Rate Limits:

Rate limits are applied per user, per minute across the API/MCP/CLI; plan limits and per-minute quotas apply.

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