Community Health Monitoring

MCP-powered workflow for auditing follower quality, engagement health, and network efficiency. Produces a scored health report.

MCP Tools Used

Workflow

1. Profile baseline — Call x_get_profile to get follower count, following count, and calculate follower-to-following ratio.
2. Audit follower quality — Call x_get_followers with limit: 200. Classify each follower:
   • Active: Has bio, 50+ followers, posted in last 30 days
   • Low quality: No bio, <10 followers, or no recent activity
   • Suspect bot: Default avatar, username with many numbers, 0 tweets, follows 1000+
3. Check engagement authenticity — Call x_get_tweets with limit: 30. For each tweet, compare engagement volume to follower count. Flag anomalies: likes/follower ratio > 10% (potential engagement pods) or < 0.1% (ghost followers).
4. Analyze unfollower patterns — Call x_detect_unfollowers. Note churn rate and whether unfollowers correlate with specific content types or posting gaps.
5. Assess reciprocity — Call x_get_non_followers. Calculate reciprocity rate: mutual_follows / total_following * 100. Identify high-value accounts not following back.
6. Calculate health score — Weighted composite (0-100):
   • Follower quality: 30% (% active followers)
   • Engagement authenticity: 25% (normal engagement patterns)
   • Churn rate: 20% (low unfollower rate)
   • Reciprocity: 15% (healthy follower/following balance)
   • Growth trend: 10% (net positive follower change)
7. Generate report — Compile into the template below with actionable recommendations.

Output Template

## Community Health Report: @{username}
Date: {date} | Health Score: {score}/100

### Score Breakdown
| Category | Score | Weight | Weighted |
|----------|-------|--------|----------|
| Follower Quality | {n}/100 | 30% | {n} |
| Engagement Authenticity | {n}/100 | 25% | {n} |
| Churn Rate | {n}/100 | 20% | {n} |
| Reciprocity | {n}/100 | 15% | {n} |
| Growth Trend | {n}/100 | 10% | {n} |

### Follower Audit
- Total: {count} | Active: {n}% | Low quality: {n}% | Suspect bots: {n}%

### Engagement Health
- Avg engagement rate: {rate}%
- Anomalous posts: {count} flagged

### Reciprocity
- Following: {count} | Follow back: {n}% | Non-followers: {count}

### Recommendations
1. {actionable recommendation}
2. {actionable recommendation}
3. {actionable recommendation}