mcpbeat

Brand Monitoring

nexscope-ai/brand-monitoring

Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes sentiment analysis, trend tracking, crisis detection, and competitor comparison. No API key required for basic monitoring.

9k tokens
context cost
the whole folder, loaded on every use
3
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
570
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill brand-monitoring

What comes with it

31 016 bytes besides the instruction
scripts/monitor.py
scripts/scrapers.py

The instruction itself

12 sections, as written by the author

Brand Monitoring 📡

Track brand mentions across social media platforms and analyze sentiment.

Installation

npx skills add nexscope-ai/eCommerce-Skills --skill brand-monitoring -g

Features

  • Mention Monitoring — Track brand mentions across platforms
  • Sentiment Analysis — Positive/negative/neutral classification
  • Trend Tracking — Monitor mention volume changes
  • Crisis Detection — Alerts for negative spikes or crisis keywords
  • Competitor Comparison — Share of voice analysis
  • Keyword Extraction — Identify trending topics
  • Report Generation — Weekly/monthly reports

Supported Platforms

| Platform | Method | Stability |

|----------|--------|-----------|

| Reddit | Public JSON API | ⚠️ Rate limited |

| Google News | RSS Feed | ✅ Stable |

| DuckDuckGo | Instant Answer API | ✅ Stable |

| YouTube | HTML/RSS | ⚠️ Unstable |

Analysis Dimensions

| Dimension | Method | Output |

|-----------|--------|--------|

| Volume | Mention count | Trend graph |

| Sentiment | NLP analysis | Sentiment score |

| Sources | Platform breakdown | Source distribution |

| Keywords | Topic extraction | Word cloud |

| Competitors | Share of voice | Comparison chart |

Usage

Basic Monitoring

python3 scripts/monitor.py "YourBrand"

With Competitors

python3 scripts/monitor.py '{
  "brand": "YourBrand",
  "competitors": ["CompA", "CompB"],
  "platforms": ["reddit", "google_news"]
}'

Demo Mode

python3 scripts/monitor.py --demo

Output Example

📡 Brand Monitoring Report

Brand: YourBrand
Period: Last 7 days
Platforms: Reddit, Google News, YouTube

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📊 MENTION OVERVIEW

Total Mentions: 127
├── Reddit: 82 (65%)
├── Google News: 35 (28%)
└── YouTube: 10 (8%)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

😊 SENTIMENT ANALYSIS

Positive: 45% ████████░░
Neutral:  38% ███████░░░
Negative: 17% ███░░░░░░░

Overall Score: 7.2/10 ✅

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📈 TREND (7 days)

Mon ████████ 25
Tue ██████ 18
Wed ███████ 21
Thu █████████ 28
Fri ████████ 22
Sat ███ 8
Sun ██ 5

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🔥 TRENDING KEYWORDS

1. quality (32x)
2. shipping (28x)
3. customer service (22x)
4. price (18x)
5. recommended (15x)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

⚠️ ALERTS

🔴 Negative spike on Thursday (+40%)
   Related to: shipping delays
   Recommendation: Monitor and respond

Crisis Detection

| Alert Level | Trigger | Action |

|-------------|---------|--------|

| 🟢 Normal | < 20% negative | Continue monitoring |

| 🟡 Warning | 20-40% negative | Investigate sources |

| 🔴 Crisis | > 40% negative | Immediate response needed |

Monitoring Workflow

Set up brand keywords
      ↓
Monitor platforms
      ↓
Analyze sentiment
      ↓
Detect anomalies
      ↓
Generate alerts
      ↓
Weekly report

Part of Nexscope AI — AI tools for e-commerce sellers.

How to use it

Copy the folder

Take nexscope-ai/brand-monitoring from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.