介绍
# Reddit Insights MCP
对数百万个 Reddit 帖子进行语义搜索。与关键词搜索不同，它能理解意图和含义。
## 设置
### 1. 获取 API 密钥（提供免费层级） 1. 访问 https://reddit-insights.com 注册 2. 前往 Settings → API 3. 复制您的 API 密钥
### 2. 安装 MCP 服务器
**对于 Claude Desktop** - 添加到 `claude_desktop_config.json`： ```json { "mcpServers": { "reddit-insights": { "command": "npx", "args": ["-y", "reddit-insights-mcp"], "env": { "REDDIT_INSIGHTS_API_KEY": "your_api_key_here" } } } } ```
**对于 Clawdbot** - 添加到 `config/mcporter.json`： ```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 ```
## 可用工具
| 工具 | 用途 | 关键参数 | |------|---------|------------| | `reddit_search` | 对帖子进行语义搜索 | `query`（自然语言），`limit`（1-100） | | `reddit_list_subreddits` | 浏览可用的子版块 | `page`，`limit`，`search` | | `reddit_get_subreddit` | 获取子版块详情 + 最新帖子 | `subreddit`（不含 r/） | | `reddit_get_trends` | 获取热门话题 | `filter`（latest/today/week/month），`category` |
## 性能说明
- **响应时间：** 12-25 秒（随查询复杂度变化） - 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：** 具体产品、情感化语言、对比类问题 - **效果较差：** 抽象概念、非英语查询、通用商业术语 - **最佳点：** 真实用户会在 Reddit 上问的问题
## 最佳用例（已测试）
| 用例 | 效果 | 原因 | |----------|--------------|-----| | 产品对比（A vs B） | ⭐⭐⭐⭐⭐ | Reddit 用户喜欢辩论 | | 工具/应用推荐 | ⭐⭐⭐⭐⭐ | 高意向讨论 | | 副业/赚钱话题 | ⭐⭐⭐⭐⭐ | 活跃的社区 | | 痛点挖掘 | ⭐⭐⭐⭐ | 情感化帖子排名更高 | | 健康问题 | ⭐⭐⭐⭐ | 活跃的健康版块 | | 技术教程 | ⭐⭐⭐ | 最好搜索特定版块 | | 抽象市场调研 | ⭐⭐ | 对语义搜索来说太模糊 | | 非英语查询 | ⭐ | Reddit 以英语为主 |
## 查询策略（基于真实数据测试）
### ✅ 优秀查询（相关性 0.70+）
**产品对比**（最佳效果！）： ``` "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 ```
**副业/赚钱话题：** ``` "side hustle ideas that actually make money not scams" → Relevance: 0.70-0.77 | Found: Real experiences, specific suggestions ```
**小众应用研究：** ``` "daily horoscope apps which one is accurate and why" → Relevance: 0.67-0.72 | Found: App recommendations, feature requests ```
### ✅ 良好查询（相关性 0.60-0.69）
**痛点挖掘：** ``` "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 ```
**工具评估：** ``` "AI tools that actually save time not just hype" → Relevance: 0.64-0.65 | Found: Real productivity gains, tool recommendations ```
### ❌ 较弱查询（避免这些模式）
**太抽象：** ``` "business opportunity growth potential" → Relevance: 0.52-0.58 | Returns unrelated generic posts ```
**非英语：** ``` "学习编程最好的方法" (Chinese) → Relevance: 0.45-0.51 | Reddit is English-dominant, poor cross-lingual results ```
### 查询公式速查表
| 目标 | 模式 | 相关性 | |------|---------|-----------| | 对比产品 | "[Product A] vs [Product 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 | "[topic] that actually [works/makes money] not [scam/hype]" | 0.70-0.77 | | 应用推荐 | "[category] apps which one is [accurate/best] and why" | 0.67-0.72 | | 痛点 | "I hate my current [tool] it is so [frustrating/slow]" | 0.60-0.64 | | 寻求解决方案 | "[problem] tried everything what actually works" | 0.60-0.63 |
## 响应字段
每个结果包含： - `title`，`content` - 帖子文本 - `subreddit` - 来源社区 - `upvotes`，`comments` - 互动指标 - `relevance` (0-1) - 语义匹配分数（0.5+ 为良好，0.6+ 为强） - `sentiment` - 讨论/问答/故事分享/原创内容/新闻 - `url` - Reddit 直接链接
**响应示例：** ```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" } ```
## 提示
1. **自然语言效果最好** - 像人类一样提问 2. **包含上下文** - "for small business" 或 "as a developer" 能改善结果 3. **结合情感词** - "frustrated"、"love"、"hate"、"wish" 能找到更强烈的观点 4. **按互动度筛选** - 高点赞/评论 = 经证实的痛点 5. **查看多个子版块** - 同一话题在 r/startups 和 r/smallbusiness 的讨论不同
## 示例工作流
**寻找 SaaS 机会：** 1. `reddit_search`: "frustrated with project management tools for remote teams" 2. 筛选高互动度的结果 3. 识别反复出现的投诉 → 产品机会
**验证想法：** 1. `reddit_search`: "[your product category] recommendations" 2. 查看人们提到的替代品 3. 记录现有解决方案的空白
**内容调研：** 1. `reddit_get_subreddit`: 获取目标社区的帖子 2. `reddit_search`: 查找特定问题/讨论 3. 创建回答真实用户问题的内容