Skill-Details

reddit-insights

Customer and market insight research for marketing.

ÜbereinstimmungDirektGeprüft für marketing
Quellebrianrwagner/ai-marketing-claude-code-skillsExterne Quelle
Gemeldete Installationen452Nur Popularitätssignal

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---
name: reddit-insights
description: |
  Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server.
  Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback.
  Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
---

# Reddit Insights MCP

Semantic search across millions of Reddit posts. Unlike keyword search, this understands intent and meaning.

## Mode

Detect from context or ask: *"Quick pulse, full research, or strategic intelligence report?"*

| Mode | What you get | Best for |
|------|-------------|----------|
| `quick` | 1 query, top 5 insights, no synthesis | Fast pain point check, content spark |
| `standard` | 3–5 queries, full synthesis with themes and patterns | Product validation, content research |
| `deep` | Multi-angle research + sentiment analysis + content angles + competitive intelligence | Business decisions, campaign strategy |

**Default: `standard`** — use `quick` for a fast read. Use `deep` if they're validating a product idea or building a content strategy.

---

## Why This vs ChatGPT?

**Problem with ChatGPT:** It has no real-time Reddit access. It can't search current discussions, can't filter by engagement, and can't show you what people are saying RIGHT NOW about your topic.

**This skill provides:**
1. **Live semantic search** - Searches millions of Reddit posts with AI-powered intent matching (not just keywords)
2. **Engagement filtering** - Sort by upvotes/comments to find validated pain points
3. **Sentiment analysis** - Automatically tags posts as Discussion/Q&A/Story/News
4. **Relevance scoring** - Shows 0-1 match score so you know which results matter
5. **Subreddit intelligence** - Browse communities, see trending topics, get recent posts
6. **Direct links** - Every result includes Reddit URL for full context

**You can replicate this** by manually browsing Reddit, searching multiple subreddits, reading hundreds of posts, taking notes, and synthesizing patterns. Takes 1-2 hours per research query. This skill does it in 15-20 seconds.

## Setup

### 1. Get API Key (free tier available)
1. Sign up at https://reddit-insights.com
2. Go to Settings → API
3. Copy your API key

### 2. Install MCP Server

**For Claude Desktop** - add to `claude_desktop_config.json`:
```json
{
  "mcpServers": {
    "reddit-insights": {
      "command": "npx",
      "args": ["-y", "reddit-insights-mcp"],
      "env": {
        "REDDIT_INSIGHTS_API_KEY": "your_api_key_here"
      }
    }
  }
}
```

**For Clawdbot** - add to `config/mcporter.json`:
```json
{
  "mcpServers": {
    "reddit-insights": {
      "command": "npx reddit-insights-mcp",
      "env": {
        "REDDIT_INSIGHTS_API_KEY": "your_api_key_here"
      }
    }
  }
}
```

**Verify installation:**
```bash
mcporter list reddit-insights
```

## Available Tools

| Tool | Purpose | Key Params |
|------|---------|------------|
| `reddit_search` | Semantic search across posts | `query` (natural language), `limit` (1-100) |
| `reddit_list_subreddits` | Browse available subreddits | `page`, `limit`, `search` |
| `reddit_get_subreddit` | Get subreddit details + recent posts | `subreddit` (without r/) |
| `reddit_get_trends` | Get trending topics | `filter` (latest/today/week/month), `category` |

## Performance Notes

- **Response time:** 12-25 seconds (varies by query complexity)
  - Simple queries: ~12-15s
  - Complex semantic queries: ~17-20s
  - Heavy load periods: up to 25s
- **Best results:** Specific products, emotional language, comparison questions
- **Weaker results:** Abstract concepts, non-English queries, generic business terms
-
Vollständige Quelle auf GitHub lesen (öffnet externe Seite)
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