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 co

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 : For Clawdbot add to config/mcporter.json : Verify installation: 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 Sweet spot: Questions a real person would ask on Reddit Best Use Cases (Tested) Use Case Effectiveness Why Product comparisons (A vs B) ⭐⭐⭐⭐⭐ Reddit loves debates Tool/app recommendations ⭐⭐⭐⭐⭐ High intent discussions Side hustle/money topics ⭐⭐⭐⭐⭐ Engaged communities Pain point discovery ⭐⭐⭐⭐ Emotional posts rank well Health questions ⭐⭐⭐⭐ Active health subreddits Technical how to ⭐⭐⭐ Better to search specific subreddits Abstract market research ⭐⭐ Too vague for semantic search Non English queries ⭐ Reddit is English dominant Query Strategies (Tested with Real Data) ✅ Excellent Queries (relevance 0.70+) Product Comparisons (best results!): Side Hustle/Money Topics: Niche App Research: ✅ Good Queries (relevance 0.60 0.69) Pain Point Discovery: Tool Evaluation: ❌ Weak Queries (avoid these patterns) Too Abstract: Non English: Query Formula Cheat Sheet Goal Pattern Relevance Compare products "[Product A] vs [Product B] which should I use" 0.70 0.81 Find switchers "why I switched from [A] to [B]" 0.70 0.73 Money/hustle topics "[topic] that actually [works/makes money] not [scam/hype]" 0.70 0.77 App recommendations "[category] apps which one is [accurate/best] and why" 0.67 0.72 Pain points "I hate my current [tool] it is so [frustrating/slow]" 0.60 0.64 Solutions seeking "[problem] tried everything what actually works" 0.60 0.63 Response Fields Each result includes: title , content Post text subreddit Source community upvotes , comments Engagement metrics relevance (0 1) Semantic match score (0.5+ is good, 0.6+ is strong) sentiment Discussion/Q&A/Story Sharing/Original Content/News url Direct Reddit link Example response: Real Case Study User: SaaS founder validating a new project management tool idea Challenge: Needed to understand real frustrations with existing PM tools (Asana, Monday, ClickUp) to find positioning angle. Research Query: What They Found (in 18 seconds): 42 posts with 0.60+ relevance Top pain points (mentioned 15+ times): "Too complicated for simple projects" "Mobile app is terrible" "Hard to see the big picture" "Notifications are overwhelming" "Pricing jumps too fast with team size" Most upvoted insight (+347 upvotes, r/startups): "We switched from Monday to a Notion template because Monday felt like learning a new language just to assign a task. Sometimes simple beats powerful." Positioning Decision: Built messaging around: "Project management that feels like a shared doc, not enterprise software." Product Changes Made: Simplified onboarding (3 clicks to first task vs 15 step wizard) Mobile first design (every feature tested on phone first) Flat pricing ($8/user, no tiers) Big picture dashboard view (Gantt hidden by default) Results (6 months post launch): 2,400 paying users 78% came from "Reddit research informed" messaging 4.7/5 rating on G2 with reviews saying "finally, PM without the bloat" Founder quote: "That one Reddit search saved us from building features nobody wanted." Tips 1. Natural language works best Ask questions like a human would 2. Include context "for small business" or "as a developer" improves results 3. Combine emotion words "frustrated", "love", "hate", "wish" find stronger opinions 4. Filter by engagement High upvotes/comments = validated pain points 5. Check multiple subreddits Same topic discussed differently in r/startups vs r/smallbusiness 6. Use comparison queries "X vs Y" consistently returns high relevance results 7. Search for stories "why I switched" and "honest experience" reveal real user journeys Example Workflows Find SaaS opportunity: 1. reddit search : "frustrated with project management tools for remote teams" 2. Filter results with high engagement (20+ upvotes or 10+ comments) 3. Identify recurring complaints → product opportunity 4. Export top 10 posts to analyze language patterns for messaging Validate idea: 1. reddit search : "[your product category] recommendations" 2. See what alternatives people mention 3. Note gaps in existing solutions 4. Check reddit get subreddit for relevant communities to monitor Content research: 1. reddit get subreddit : Get posts from target community 2. reddit search : Find specific questions/discussions with high engagement 3. Create content answering real user questions (with examples from Reddit) 4. Post back to Reddit (with value, not spam) Competitive intelligence: 1. reddit search : "[competitor name] experience" 2. reddit search : "switched from [competitor] to [other]" 3. Extract feature complaints and praise 4. Build comparison matrix based on real feedback Pro Tips For Product Research: Search for "I wish [category] had..." to find feature requests Filter by comments (not just upvotes) to find discussion heavy threads Look for posts from 30 90 days ago (recent but with accumulated discussion) For Content Ideas: Search your topic + "explained" or "guide" Check what questions have 0 2 replies (content gaps!) Save high upvote posts and create better answers For Market Validation: Run the same search monthly to track sentiment trends Compare subreddit sizes (r/notion has 180K vs r/obsidianmd 90K) Watch for "migration posts" ("leaving X for Y") as early signals Quality Indicators A good Reddit Insights search has: [ ] Relevance scores mostly 0.60+ (strong semantic match) [ ] Results from 3+ different subreddits (diverse perspectives) [ ] Mix of high engagement (100+ upvotes) and niche discussions [ ] Clear patterns across multiple posts (not one off opinions) [ ] Recent posts (<90 days) mixed with classic threads Common Mistakes to Avoid ❌ Being too generic "marketing tips" returns weak results; "B2B cold email that actually works" is better ❌ Ignoring engagement metrics A post with 2 upvotes is one person's opinion; 200+ upvotes is validated ❌ Taking single posts as truth Look for patterns across 5 10 posts minimum ❌ Forgetting to check sentiment A "Discussion" post is different from a "Q&A" (check the field!) ❌ Not visiting actual threads The semantic summary is great, but top comments often have gold Built on semantic AI search (not keyword matching). Find what people REALLY think. Not what marketing says they think.