reddit-marketing

reddit-marketing

AI-powered Reddit marketing automation via Model Context Protocol, enabling smart search, audience analysis, engagement finding, and comment generation.

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README

Reddit Marketing MCP Server

AI-powered Reddit marketing automation via Model Context Protocol (MCP).

Connect your AI assistant (Claude, Cursor, or any MCP client) to Reddit with intelligent analysis powered by DeepSeek AI.

Features

  • Smart Search — Search Reddit with engagement-sorted results
  • Audience Analysis — AI-powered subreddit culture and demographic insights
  • Engagement Finder — Discover natural opportunities to mention your product
  • Content Calendar — Generate multi-day content plans tailored to each subreddit
  • Competitor Tracking — Monitor and analyze competitor mentions
  • Comment Generator — Draft authentic, non-spammy comments with subtle product mentions

Tools Provided

Tool Description
search_reddit Search posts by keyword across any subreddit
get_hot_posts Get trending posts from a subreddit
get_subreddit_info Get subscriber count, active users, description
analyze_subreddit AI analysis of audience, culture, marketing opportunities
find_engagement_opportunities Find posts where your product fits naturally
analyze_opportunity Score a specific post's marketing potential (1-10)
generate_content_calendar Create a content plan with mix of value + promo
track_competitors Find and analyze competitor mentions
generate_comment Draft authentic comments that mention your product

Quick Start

1. Get API Keys

Reddit API (free):

  1. Go to https://www.reddit.com/prefs/apps
  2. Click "create another app"
  3. Choose "script" type
  4. Set name and redirect URI (use http://localhost)
  5. Copy your client_id and client_secret

DeepSeek API (cheap):

  1. Go to https://platform.deepseek.com
  2. Create an API key
  3. Copy your key

2. Install

# Clone
git clone https://github.com/1036007003-wq/reddit-mcp-server.git
cd reddit-mcp-server

# Install with uv (recommended)
uv pip install -e .

# Or with pip
pip install -e .

3. Configure

cp .env.example .env
# Edit .env with your API keys

4. Connect to Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "reddit-marketing": {
      "command": "reddit-mcp-server",
      "env": {
        "REDDIT_CLIENT_ID": "your_id",
        "REDDIT_CLIENT_SECRET": "your_secret",
        "REDDIT_USER_AGENT": "reddit-mcp-server/1.0",
        "DEEPSEEK_API_KEY": "your_key"
      }
    }
  }
}

Restart Claude Desktop and you're ready!

5. Connect to Cursor

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "reddit-marketing": {
      "command": "reddit-mcp-server",
      "env": {
        "REDDIT_CLIENT_ID": "your_id",
        "REDDIT_CLIENT_SECRET": "your_secret",
        "REDDIT_USER_AGENT": "reddit-mcp-server/1.0",
        "DEEPSEEK_API_KEY": "your_key"
      }
    }
  }
}

Usage Examples

Ask your AI assistant:

  • "Analyze r/Entrepreneur for marketing opportunities for my CRM tool"
  • "Find Reddit posts where someone is asking about email marketing tools"
  • "Track mentions of my competitor 'Notion' on Reddit"
  • "Generate a 7-day content calendar for r/SaaS"
  • "Find engagement opportunities for my productivity app in r/productivity"

How It Works

User → MCP Client (Claude/Cursor) → MCP Server → Reddit API + DeepSeek AI
                                                         ↓
                                              Analysis & Content Generation

The server uses PRAW (Python Reddit API Wrapper) for Reddit data retrieval and DeepSeek's AI for intelligent analysis, content generation, and strategy recommendations.

Tech Stack

  • MCP Protocol — Anthropic's Model Context Protocol
  • PRAW — Python Reddit API Wrapper
  • DeepSeek AI — Cost-effective LLM for analysis (OpenAI-compatible API)
  • httpx — Async HTTP client
  • Python 3.10+

Why DeepSeek instead of OpenAI?

DeepSeek API is 10-20x cheaper than OpenAI GPT-4 while delivering comparable quality for analysis tasks. Perfect for high-volume Reddit monitoring.

License

MIT — Use it, fork it, sell it. Just don't blame me.

Sponsor

If this tool saves you time, consider sponsoring on GitHub.


Built for marketers who understand that Reddit rewards authenticity, not spam.

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