Boring Social Analytics

Track performance and engagement across all your social media platforms. Powered by Boring.

Security & Data Handling

• MCP link is a credential: Your MCP Server URL contains an embedded authentication token. Treat it like a password — do not share it publicly. Regenerate anytime in Settings.
• Data flow: Analytics queries are sent from Boring's server to social media platform APIs (Facebook, Instagram, Threads, YouTube, TikTok) on your behalf. Only performance metrics are retrieved — no content is uploaded.
• No local credentials: No local API keys or environment variables needed. All auth is embedded in the MCP link.

Prerequisites

1. Sign up at boring.aiagent-me.com with Google
2. Connect accounts — supports Facebook, Instagram, Threads, YouTube, TikTok
3. Get your MCP link: Go to Settings → copy your MCP Server URL (contains your auth token — treat it like a password)
4. Add to Claude: Paste the MCP link as a Connector — no install, no API key needed

Available Analytics Tools

Workflow

Step 1: List Accounts

Call boring_list_accounts to see all connected platforms. Show a summary to the user.

Step 2: Determine What the User Wants

Step 3: Fetch Data

Account-Level Performance

boring_get_performance(
  account_id="\x3Caccount_id>",
  platform="instagram",
  period="week"       // "day", "week", or "month"
)

Returns metrics like reach, follower count, engagement rate, profile views.

Per-Post Analytics (Real-Time)

boring_get_video_analytics(
  account_id="\x3Caccount_id>",
  platform="instagram",
  limit=20             // max 100
)

Returns per-post data: views, likes, comments, shares for up to 100 recent posts.

Historical Post Performance (Snapshots)

boring_get_posts_performance(
  account_id="\x3Caccount_id>",
  since="2025-12-01",  // YYYY-MM-DD (default: 30 days ago)
  until="2025-12-31",  // YYYY-MM-DD (default: today)
  limit=20             // max 100
)

Returns post-level engagement, metrics, and content from daily collected snapshots.

Publishing History

boring_get_publish_history(
  limit=20,
  platform="facebook"  // optional filter
)

Returns recent publishing activity with status and post IDs.

Step 4: Present Results

Format the data clearly for the user:

For account overview: Show key metrics in a summary table For post analytics: Rank posts by engagement, highlight top performers For cross-platform comparison: Side-by-side metrics across platforms For historical data: Show trends over time

Metrics by Platform

Facebook

• page_media_view: Total video views
• page_post_engagements: Likes, comments, shares
• page_total_actions: Total page actions

Instagram

• reach: Accounts reached
• follower_count: Total followers
• profile_views: Profile visits
• total_interactions: Likes + comments + saves + shares
• Reels: ig_reels_avg_watch_time, ig_reels_video_view_total_time

Threads

• views: Post views
• likes, replies, reposts, quotes
• followers_count: Account followers

YouTube

• views, likes, comments, shares
• estimatedMinutesWatched: Total watch time
• averageViewDuration: Average view duration
• subscribersGained / subscribersLost

TikTok

• Video views, likes, comments, shares
• Account-level performance metrics

Cross-Platform Comparison

When the user asks to compare platforms, fetch boring_get_performance for each connected account and present a unified table:

| Platform   | Reach   | Engagement | Followers |
|-----------|---------|------------|-----------|
| Facebook  | 12,500  | 1,200      | 5,000     |
| Instagram | 8,300   | 2,100      | 3,200     |
| Threads   | 3,100   | 450        | 1,800     |
| YouTube   | 15,000  | 3,500      | 2,100     |

Error Handling

Documentation

Full API docs: boring-doc.aiagent-me.com