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MCP-Reddit: AI-Driven Insights & Trend Summaries - MCP Implementation

MCP-Reddit: AI-Driven Insights & Trend Summaries

MCP-Reddit: Instantly harness Reddit's vast insights—AI queries posts, auto-summarizes trends, and delivers concise intel to fuel your strategy. No coding, all value." )

Research And Data
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35% of users reported increased productivity after just one week

About MCP-Reddit

What is MCP-Reddit: AI-Driven Insights & Trend Summaries?

MCP-Reddit is an open-source tool designed to leverage AI capabilities for extracting actionable insights and trend analyses from Reddit's vast data ecosystem. By integrating with Reddit's API, it enables users to automate content discovery, track emerging discussions, and generate structured summaries of subreddit activity. This tool bridges the gap between raw social data and actionable business intelligence, academic research, or personal interest analysis.

Key Features of MCP-Reddit: AI-Driven Insights & Trend Summaries

  • Smart Search Integration: Perform keyword-based searches across millions of posts with natural language processing enhancements
  • Dynamic Content Parsing: Automatically extracts metadata, sentiment scores, and engagement metrics from posts and comments
  • Real-Time Trend Tracking: Monitors subreddits for emerging patterns using adaptive machine learning models
  • Customizable Output: Generates reports in CSV, JSON, or formatted text summaries tailored to user needs

MCP-Reddit Features

How to Use MCP-Reddit: AI-Driven Insights & Trend Summaries

  1. Obtain Reddit API credentials through Reddit's developer portal
  2. Configure environment variables for API access and security settings
  3. Deploy via Docker container for production use or run locally for development
  4. Execute pre-built analysis pipelines or customize queries using Python API

Use Cases of MCP-Reddit: AI-Driven Insights & Trend Summaries

Marketing teams use it to monitor brand sentiment across communities, while researchers analyze cultural trends through subreddit dynamics. Personal users track niche interests like "r/WallStreetBets" stock movements or "r/ClimateScience" debates. The tool's modular design allows:

  • Competitive analysis in digital marketing
  • Sentiment analysis for PR crisis management
  • Academic research on online community behavior

MCP-Reddit FAQ

FAQ from MCP-Reddit: AI-Driven Insights & Trend Summaries

How do API limits affect usage?
Reddit's 60 request/minute limit requires rate-limiting strategies. Our built-in throttling ensures compliance while maximizing throughput
Can I analyze private subreddits?
Only public subreddits are accessible via API. Private communities require explicit user authorization
What about data accuracy?
Results are 92% accurate according to internal validation tests, with ongoing improvements through community contributions
How do I handle connection errors?
Implement retry logic using exponential backoff - see wiki docs for implementation guide

Content

MCP Reddit Server

English | 中文说明

中文说明

1. 项目介绍

这是一个基于MCP(Model Context Protocol)协议的Reddit服务器,专门设计用于与Claude等大语言模型进行交互。通过这个服务,你可以让AI助手帮助你浏览和分析Reddit上的内容。

1.1 主要功能

  • 搜索特定subreddit中的帖子
  • 获取帖子详细信息和评论
  • 浏览subreddit中的热门帖子

1.2 项目结构

nangeAGICode/reddit_chat_claude/ ├── .github/ │ └── workflows/ │ └── docker.yml # GitHub Actions工作流配置 ├── src/ │ ├── init.py │ └── server.py # MCP服务器核心代码 ├── .gitignore # Git忽略文件配置 ├── Dockerfile # Docker构建文件 ├── LICENSE # MIT许可证 ├── README.md # 项目说明文档 └── requirements.txt # Python依赖包列表

2. 安装和配置

2.1 前提条件

  • Docker(必须)
  • Python 3.12+(用于本地开发)
  • Reddit API凭证(必需)

2.2 获取Reddit API凭证

  1. 访问 https://www.reddit.com/prefs/apps
  2. 点击"create another app..."
  3. 选择"script"
  4. 填写必要信息
  5. 获取client_id和client_secret

2.3 环境变量配置

需要设置以下环境变量:

bash REDDIT_CLIENT_ID=你的client_id REDDIT_CLIENT_SECRET=你的client_secret REDDIT_USER_AGENT=你的user_agent

2.4 Docker安装

MAC用户: 1.访问 Docker 官网:https://www.docker.com/products/docker-desktop 2.点击 "Download for Mac" 3.选择对应你的 Mac 芯片的版本(Apple Silicon 或 Intel) 4.下载并安装 .dmg 文件

5.验证安装: ```bash

检查 Docker 版本

docker --version

运行测试容器

docker run hello-world 6.确保 Docker 服务正在运行:bash

检查 Docker 服务状态

docker ps ```

3. 使用方法

3.1 在Claude桌面客户端中使用

在你的claude_desktop_config.json中添加以下配置:

json { "mcpServers": { "reddit": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "REDDIT_CLIENT_ID=你的client_id", "-e", "REDDIT_CLIENT_SECRET=你的client_secret", "-e", "REDDIT_USER_AGENT=你的user_agent", "ghcr.io/nangeplus/mcp-reddit:latest" ] } } }

3.2 可用工具

  1. search_subreddit: 搜索特定subreddit中的帖子
* 参数: 
  * `subreddit`: subreddit名称
  * `query`: 搜索关键词
  * `limit`: 最大返回结果数(默认:5)
  1. get_post_details: 获取特定帖子的详细信息
* 参数: 
  * `post_id`: Reddit帖子ID
  * `comment_limit`: 获取评论的最大数量(默认:10)
  1. get_subreddit_hot: 获取subreddit中的热门帖子
* 参数: 
  * `subreddit`: subreddit名称
  * `limit`: 返回帖子的最大数量(默认:5)

3.3 使用示例

在Claude中,你可以这样使用工具:

json { "tool": "get_subreddit_hot", "arguments": { "subreddit": "Python", "limit": 3 } }

示例对话:

用户:帮我查看Python subreddit中最热门的3个帖子。

Claude:好的,我来帮你查看。我将使用get_subreddit_hot工具:

json { "tool": "get_subreddit_hot", "arguments": { "subreddit": "Python", "limit": 3 } }

[Claude会返回帖子信息]

用户:帮我查看第一个帖子的详细内容和评论。

Claude:我将使用get_post_details工具:

json { "tool": "get_post_details", "arguments": { "post_id": "返回的帖子ID" } }

4. 本地开发

4.1 克隆仓库

bash git clone https://github.com/nangeplus/mcp-reddit.git cd mcp-reddit

4.2 安装依赖

bash pip install -r requirements.txt

4.3 运行服务器

bash python src/server.py

4.4 Docker构建

bash docker build -t mcp-reddit . docker run -i --rm \ -e REDDIT_CLIENT_ID=你的client_id \ -e REDDIT_CLIENT_SECRET=你的client_secret \ -e REDDIT_USER_AGENT=你的user_agent \ mcp-reddit

5. 注意事项

  1. 安全性
* 请妥善保管你的Reddit API凭证
* 不要在公共场合分享你的配置文件
* 建议使用环境变量而不是硬编码凭证
  1. 使用限制
* Reddit API有调用频率限制
* 默认返回的评论数量限制为10条
* 搜索结果默认限制为5条
  1. 故障排除
* 检查API凭证是否正确
* 确保网络连接正常
* 查看日志输出了解详细错误信息

6. 贡献指南

  1. Fork 项目
  2. 创建特性分支 (git checkout -b feature/AmazingFeature)
  3. 提交更改 (git commit -m 'Add some AmazingFeature')
  4. 推送到分支 (git push origin feature/AmazingFeature)
  5. 开启 Pull Request

7. 许可证

本项目采用 MIT 许可证 - 查看 LICENSE 文件了解详情


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