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MCP ServerUsage Examples

Usage Examples

Real-world prompt examples for using the QiQ Social MCP server with AI assistants. Copy these prompts directly or adapt them to your workflow.

Getting Started

Explore your workspace

What workspaces do I have? List the automations and channels in my main workspace.

The assistant will call list_workspaces, then list_automations and list_channels for the workspace you specify.

Check subscription status

What's my current plan and usage?

Creating Automations

Weekly social media automation

Create a weekly automation that posts about AI and productivity tips every Monday at 9am to my LinkedIn and X channels. Set it to auto-publish.

The assistant will:

  1. Call list_channels to find your LinkedIn and X channels
  2. Call create_automation with type write_social, a cron schedule of 0 9 * * 1, and the channel IDs

Daily blog automation from RSS

I want to automatically turn articles from TechCrunch's RSS feed into blog posts on my WordPress site every day at noon. First validate the feed, then set it up.

The assistant will:

  1. Call validate_rss with the TechCrunch RSS URL
  2. Call create_source to add the feed
  3. Call list_channels to find your WordPress channel
  4. Call create_automation with type rss_blog and schedule 0 12 * * *

Content generation on demand

Run my "Weekly AI Tips" automation now. I want to review the posts before they go live.

The assistant will:

  1. Call list_automations to find the automation by name
  2. Call run_automation to trigger generation
  3. Call list_posts filtered by the automation to show the generated drafts

Managing Posts

Create and publish a post

Write a LinkedIn post about the benefits of remote work for developer productivity. Include 3 relevant hashtags. Publish it to my LinkedIn company page.

The assistant will:

  1. Call list_channels to find the LinkedIn company channel
  2. Call generate_hashtags for LinkedIn-optimized hashtags
  3. Draft the content respecting LinkedIn’s 3,000 character limit
  4. Call create_post with the content
  5. Ask for your approval, then call publish_post

Batch create posts for multiple platforms

I have this blog post about our new product launch. Create adapted versions for Instagram (short + engaging), LinkedIn (professional), X (punchy, under 280 chars), and Telegram (with markdown formatting). Don't publish yet, I want to review them.

The assistant will:

  1. Call list_channels to find all your channels
  2. Call create_post for each platform with content adapted to placement constraints
  3. Show you all drafts for review

Review and edit drafts

Show me all my draft posts. Edit the LinkedIn one to sound more professional and add a call-to-action at the end.

The assistant will:

  1. Call list_posts with status NONE (drafts)
  2. Call text_assist with action rephrase and style Professional
  3. Call update_post with the improved content

Check post performance

How are my posts from this week performing? Show me engagement metrics for all published posts.

The assistant will call list_posts with status SUCCESS and display the metrics (likes, shares, comments, impressions) for each post.

Content Enhancement

Proofread before publishing

Proofread all my draft posts and fix any grammar or spelling issues.

The assistant will:

  1. Call list_posts with status NONE
  2. For each post, call text_assist with action proofread
  3. Call update_post for each corrected post

Generate content with specific style

Generate a casual, fun Instagram caption about summer travel deals. Keep it under 2200 characters and make it engaging.

The assistant will:

  1. Call text_assist with action generate, style Casual, and context about summer travel
  2. Call generate_hashtags for Instagram
  3. Call create_post with the content + hashtags

Find images for posts

Find a stock photo of a modern office workspace for my LinkedIn post about remote work productivity.

The assistant will call media_assist with action search and return the image URL, which can be added to a post’s media array.

RSS & Sources

Set up a content pipeline

Set up a complete content pipeline: add the Hacker News RSS feed, create an automation that turns the top stories into Twitter threads every morning at 8am, and auto-publish them.

The assistant will:

  1. Call validate_rss to check the feed
  2. Call create_source to add it
  3. Call list_channels to find the X channel
  4. Call create_automation with type rss_social, schedule 0 8 * * *, and auto_publish enabled

Manage existing sources

List all my RSS sources and remove any that are no longer active.

The assistant will:

  1. Call list_sources
  2. Call validate_rss for each to check if they’re still working
  3. Call delete_source for any broken feeds (with your confirmation)

Workspace Management

Audit your setup

Give me a complete overview of my workspace: how many automations, connections, channels, and recent posts I have. Highlight any automations without channels or channels that aren't being used.

The assistant will call multiple tools to build a comprehensive report of your workspace health.

Clean up old drafts

Delete all draft posts older than 30 days that were never published.

The assistant will:

  1. Call list_posts with status NONE
  2. Filter by date
  3. Call delete_post for each old draft (with your confirmation)

Advanced Workflows

Cross-platform content calendar

I want to plan next week's content. Create draft posts for each day: - Monday: LinkedIn thought leadership post about AI in marketing - Tuesday: Instagram carousel about our product features (find relevant images) - Wednesday: Blog post about industry trends - Thursday: X thread with quick tips - Friday: Telegram announcement about our weekend sale Don't publish anything yet.

Automated content repurposing

Take my latest published WordPress blog post and create adapted versions for all my social channels. Adjust the length, tone, and format for each platform.

The assistant will:

  1. Call list_posts with status SUCCESS to find the latest blog post
  2. Call list_channels to find all social channels
  3. Create tailored versions respecting each platform’s constraints
  4. Call create_post for each
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