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Reddit Insights MCP

Reddit Insights MCP

Semantic search across millions of Reddit posts. Unlike keyword search, this understands intent and meaning.
针对数百万Reddit帖子的语义搜索。与关键词搜索不同，它能理解用户的意图和真实含义。

Why This vs ChatGPT?

为何选择它而非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.
ChatGPT的问题： 它无法实时访问Reddit内容，不能搜索当前的讨论，无法按互动量筛选，也无法展示用户当下对话题的真实看法。
本工具提供：
  1. 实时语义搜索 - 基于AI意图匹配（而非仅关键词）搜索数百万Reddit帖子
  2. 互动量筛选 - 按点赞/评论数排序，找到已被验证的用户痛点
  3. 舆情分析 - 自动将帖子标记为讨论/问答/故事/新闻类型
  4. 相关性评分 - 显示0-1的匹配分数，帮你判断结果的重要性
  5. 子社区洞察 - 浏览社区、查看热门话题、获取最新帖子
  6. 直接链接 - 每个结果都包含Reddit原帖链接，方便查看完整上下文
手动替代方案：手动浏览Reddit、搜索多个子社区、阅读数百篇帖子、记录笔记并总结规律。每个调研查询需耗时1-2小时，而本工具仅需15-20秒。

Setup

安装设置

1. Get API Key (free tier available)

1. 获取API密钥（提供免费版）

  1. Sign up at https://reddit-insights.com
  2. Go to Settings → API
  3. Copy your API key
  1. 访问https://reddit-insights.com注册账号
  2. 进入「设置→API」页面
  3. 复制你的API密钥

2. Install MCP Server

2. 安装MCP服务器

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
Claude Desktop用户 - 在
claude_desktop_config.json
中添加：
json
{
  "mcpServers": {
    "reddit-insights": {
      "command": "npx",
      "args": ["-y", "reddit-insights-mcp"],
      "env": {
        "REDDIT_INSIGHTS_API_KEY": "your_api_key_here"
      }
    }
  }
}
Clawdbot用户 - 在
config/mcporter.json
中添加：
json
{
  "mcpServers": {
    "reddit-insights": {
      "command": "npx reddit-insights-mcp",
      "env": {
        "REDDIT_INSIGHTS_API_KEY": "your_api_key_here"
      }
    }
  }
}
验证安装：
bash
mcporter list reddit-insights

Available Tools

可用工具

ToolPurposeKey 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
工具用途关键参数
reddit_search
跨帖子语义搜索
query
（自然语言）, 
limit
（1-100）
reddit_list_subreddits
浏览可用子社区
page
, 
limit
, 
search
reddit_get_subreddit
获取子社区详情+最新帖子
subreddit
（无需加r/）
reddit_get_trends
获取热门话题
filter
（latest/today/week/month）, 
category

Performance Notes

性能说明

  • 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
  • 响应时间： 12-25秒（因查询复杂度而异）
    • 简单查询：约12-15秒
    • 复杂语义查询：约17-20秒
    • 高负载时段：最长25秒
  • 最佳效果场景： 具体产品、带情感的表述、对比类问题
  • 效果较弱场景： 抽象概念、非英文查询、通用商业术语
  • 最优查询方式： 模拟真实用户在Reddit上的提问方式

Best Use Cases (Tested)

已验证的最佳使用场景

Use CaseEffectivenessWhy
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
使用场景有效性原因
产品对比（A vs B）⭐⭐⭐⭐⭐Reddit用户热衷于讨论对比
工具/应用推荐⭐⭐⭐⭐⭐相关讨论用户意图明确
副业/赚钱话题⭐⭐⭐⭐⭐社区用户参与度高
痛点挖掘⭐⭐⭐⭐带情感的帖子排名更靠前
健康类问题⭐⭐⭐⭐健康类子社区活跃度高
技术教程查询⭐⭐⭐建议直接搜索特定子社区
抽象市场调研⭐⭐语义搜索对模糊内容支持较差
非英文查询⭐Reddit以英文内容为主

Query Strategies (Tested with Real Data)

已验证的查询策略（基于真实数据）

✅ Excellent Queries (relevance 0.70+)

✅ 优秀查询（相关性0.70+）

Product Comparisons (best results!):
"Notion vs Obsidian for note taking which one should I use"
→ Relevance: 0.72-0.81 | Found: Detailed comparison discussions, user experiences

"why I switched from Salesforce to HubSpot honest experience"  
→ Relevance: 0.70-0.73 | Found: Migration stories, feature comparisons
Side Hustle/Money Topics:
"side hustle ideas that actually make money not scams"
→ Relevance: 0.70-0.77 | Found: Real experiences, specific suggestions
Niche App Research:
"daily horoscope apps which one is accurate and why"
→ Relevance: 0.67-0.72 | Found: App recommendations, feature requests
产品对比（效果最佳！）：
"Notion vs Obsidian for note taking which one should I use"
→ 相关性：0.72-0.81 | 结果：详细对比讨论、用户真实体验

"why I switched from Salesforce to HubSpot honest experience"  
→ 相关性：0.70-0.73 | 结果：迁移经历、功能对比
副业/赚钱话题：
"side hustle ideas that actually make money not scams"
→ 相关性：0.70-0.77 | 结果：真实经验、具体建议
细分应用调研：
"daily horoscope apps which one is accurate and why"
→ 相关性：0.67-0.72 | 结果：应用推荐、功能需求

✅ Good Queries (relevance 0.60-0.69)

✅ 良好查询（相关性0.60-0.69）

Pain Point Discovery:
"I hate my current CRM it is so frustrating"
→ Relevance: 0.60-0.64 | Found: Specific CRM complaints, feature wishlists

"cant sleep at night tried everything what actually works"
→ Relevance: 0.60-0.63 | Found: Sleep remedies discussions, medical advice seeking
Tool Evaluation:
"AI tools that actually save time not just hype"
→ Relevance: 0.64-0.65 | Found: Real productivity gains, tool recommendations
痛点挖掘：
"I hate my current CRM it is so frustrating"
→ 相关性：0.60-0.64 | 结果：具体CRM投诉、功能愿望清单

"cant sleep at night tried everything what actually works"
→ 相关性：0.60-0.63 | 结果：睡眠解决方案讨论、求医建议
工具评估：
"AI tools that actually save time not just hype"
→ 相关性：0.64-0.65 | 结果：真实生产力提升案例、工具推荐

❌ Weak Queries (avoid these patterns)

❌ 效果较差的查询（避免此类模式）

Too Abstract:
"business opportunity growth potential"
→ Relevance: 0.52-0.58 | Returns unrelated generic posts
Non-English:
"学习编程最好的方法" (Chinese)
→ Relevance: 0.45-0.51 | Reddit is English-dominant, poor cross-lingual results
过于抽象：
"business opportunity growth potential"
→ 相关性：0.52-0.58 | 返回无关的通用帖子
非英文查询：
"学习编程最好的方法" (Chinese)
→ 相关性：0.45-0.51 | Reddit以英文为主，跨语言搜索效果差

Query Formula Cheat Sheet

查询公式 cheat sheet

GoalPatternRelevance
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
目标句式相关性
产品对比"[产品A] vs [产品B] which should I use"0.70-0.81
寻找迁移用户"why I switched from [A] to [B]"0.70-0.73
赚钱/副业话题"[话题] that actually [works/makes money] not [scam/hype]"0.70-0.77
应用推荐"[类别] apps which one is [accurate/best] and why"0.67-0.72
痛点挖掘"I hate my current [工具] it is so [frustrating/slow]"0.60-0.64
解决方案寻找"[问题] tried everything what actually works"0.60-0.63

Response Fields

响应字段

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:
json
{
  "id": "1oecf5e",
  "title": "Trying to solve the productivity stack problem",
  "content": "The perfect productivity app doesn't exist. No single app can do everything well, so we use a stack of apps. But this creates another problem: multi app fragmentation...",
  "subreddit": "productivityapps",
  "upvotes": 1,
  "comments": 0,
  "relevance": 0.631,
  "sentiment": "Discussion",
  "url": "https://reddit.com/r/productivityapps/comments/1oecf5e"
}
每个结果包含：
  • title
    , 
    content
    - 帖子文本
  • subreddit
    - 来源社区
  • upvotes
    , 
    comments
    - 互动数据
  • relevance
    (0-1) - 语义匹配分数（0.5+为良好，0.6+为优秀）
  • sentiment
    - 讨论/问答/故事分享/原创内容/新闻
  • url
    - Reddit原帖链接
示例响应：
json
{
  "id": "1oecf5e",
  "title": "Trying to solve the productivity stack problem",
  "content": "The perfect productivity app doesn't exist. No single app can do everything well, so we use a stack of apps. But this creates another problem: multi app fragmentation...",
  "subreddit": "productivityapps",
  "upvotes": 1,
  "comments": 0,
  "relevance": 0.631,
  "sentiment": "Discussion",
  "url": "https://reddit.com/r/productivityapps/comments/1oecf5e"
}

Real Case Study

真实案例研究

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:
reddit_search("I hate my project management tool it's so frustrating for remote teams", limit=50)
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."
用户： SaaS创始人验证一款新项目管理工具的创意
挑战： 需了解现有PM工具（Asana、Monday、ClickUp）的真实用户痛点，以确定产品定位。
调研查询：
reddit_search("I hate my project management tool it's so frustrating for remote teams", limit=50)
18秒内获得的结果：
  • 42篇相关性0.60+的帖子
  • 核心痛点（被提及15次以上）：
    • "对于简单项目来说过于复杂"
    • "移动端应用体验极差"
    • "难以把握整体进度"
    • "通知过多，不堪其扰"
    • "随团队规模扩大，定价涨幅过快"
获赞最高的洞察（347赞，来自r/startups）：
"我们从Monday切换到了Notion模板，因为Monday感觉像是要学习一门新语言才能分配任务。有时候简单胜过强大。"
定位决策： 确定核心口号：「项目管理工具，体验如同共享文档，而非复杂的企业级软件」
产品优化：
  • 简化入门流程（从15步向导改为3步即可创建首个任务）
  • 移动端优先设计（所有功能先在手机上测试）
  • 统一定价（每位用户8美元，无分级）
  • 全局概览仪表盘（默认隐藏甘特图）
发布6个月后的成果：
  • 2400名付费用户
  • 78%的用户来自「基于Reddit调研制定」的营销内容
  • G2评分4.7/5，用户评价称「终于有了无冗余的PM工具」
  • 创始人评价："那次Reddit搜索帮我们避免了开发无人需要的功能。"

Tips

使用技巧

  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
  1. 自然语言效果最佳 - 像真实用户一样提问
  2. 添加上下文 - 加入「针对小企业」或「作为开发者」等描述可提升结果精准度
  3. 结合情感词汇 - 使用「沮丧」「喜欢」「讨厌」「希望」等词汇能找到更强烈的用户观点
  4. 按互动量筛选 - 高点赞/评论数的内容代表已被验证的痛点
  5. 查看多个子社区 - 同一话题在r/startups和r/smallbusiness中的讨论差异很大
  6. 使用对比类查询 - "X vs Y"的查询方式始终能返回高相关性结果
  7. 搜索用户故事 - "why I switched"和"honest experience"能揭示真实用户旅程

Example Workflows

示例工作流

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
寻找SaaS机会：
  1. reddit_search
    ："frustrated with project management tools for remote teams"
  2. 筛选互动量高的结果（20+点赞或10+评论）
  3. 识别重复出现的投诉点→产品机会
  4. 导出前10篇帖子，分析语言模式用于营销文案
验证创意：
  1. reddit_search
    ："[你的产品类别] recommendations"
  2. 查看用户提到的替代方案
  3. 记录现有解决方案的不足
  4. 使用
    reddit_get_subreddit
    查看相关社区并持续关注
内容创作调研：
  1. reddit_get_subreddit
    ：获取目标社区的帖子
  2. reddit_search
    ：找到互动量高的特定问题/讨论
  3. 基于真实用户问题创作内容（可引用Reddit案例）
  4. 将内容发布回Reddit（提供价值，而非垃圾信息）
竞品分析：
  1. reddit_search
    ："[竞品名称] experience"
  2. reddit_search
    ："switched from [竞品] to [其他产品]"
  3. 提取用户对功能的投诉与好评
  4. 基于真实反馈构建对比矩阵

Pro Tips

进阶技巧

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
产品调研：
  • 搜索"I wish [类别] had..."来找到功能需求
  • 按评论数筛选（而非仅点赞数），找到讨论度高的帖子
  • 查看30-90天前的帖子（内容较新且已有一定讨论积累）
内容创意：
  • 搜索你的话题+"explained"或"guide"
  • 查看回复数为0-2的问题（内容空白！）
  • 保存高赞帖子并创作更优质的解答
市场验证：
  • 每月执行相同搜索，追踪舆情趋势
  • 对比子社区规模（r/notion有18万用户，r/obsidianmd有9万用户）
  • 关注「迁移帖子」（"离开X转投Y"）作为早期信号

Quality Indicators

质量指标

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
优秀的Reddit Insights搜索结果应具备：
  • 大部分结果相关性分数在0.60+（强语义匹配）
  • 来自3个以上不同子社区（多元化视角）
  • 混合高互动量（100+点赞）和细分讨论内容
  • 多个帖子中呈现清晰的规律（而非单一观点）
  • 包含近期帖子（<90天）和经典讨论

Common Mistakes to Avoid

常见错误避免

❌ 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.
❌ 过于笼统 - "营销技巧"返回结果较差；"真正有效的B2B冷邮件写法"效果更好 ❌ 忽略互动数据 - 2个赞的帖子仅代表个人观点；200+赞的内容才是已验证的共识 ❌ 将单一帖子视为事实 - 至少查看5-10篇帖子，寻找规律 ❌ 忘记查看舆情类型 - "讨论"帖子与"问答"帖子的价值不同（务必检查该字段！） ❌ 不访问原帖 - 语义摘要很实用，但顶级评论往往藏有黄金信息
基于语义AI搜索构建（而非关键词匹配）。 发现用户的真实想法，而非营销话术塑造的假象。