🤖 Reddit Buddy MCP
Reddit Browser for Claude Desktop and AI Assistants
A Model Context Protocol (MCP) server that enables Claude Desktop and other AI assistants to browse Reddit, search posts, and analyze user activity. Clean, fast, and actually works - no API keys required.

Table of Contents
What makes Reddit Buddy different?
- 🚀 Zero setup - Works instantly, no Reddit API registration needed
- ⚡ 10x faster - Optional authentication gives you 10x more requests
- 🎯 Clean data - No fake "sentiment analysis" or made-up metrics
- 🧠 LLM-optimized - Built specifically for AI assistants like Claude
- 📦 TypeScript - Fully typed, reliable, and maintainable
Quick Start (30 seconds)
For Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"reddit": {
"command": "npx",
"args": ["@karanb192/reddit-buddy-mcp"]
}
}
}
That's it! Reddit Buddy is now available in Claude.
What can it do?
Ask your AI assistant to:
- 📊 "What's trending on Reddit?" - Browse hot posts from r/all
- 🔍 "Search for discussions about AI" - Search across all subreddits
- 💬 "Get comments from this Reddit post" - Fetch post with full comment threads
- 👤 "Analyze user spez" - Get user history, karma, and activity
- 📚 "Explain Reddit karma" - Understand Reddit terminology
Available Tools
browse_subreddit
Browse posts from any subreddit with sorting options.
- Subreddit:
- "all" - entire Reddit frontpage
- "popular" - trending across Reddit
- Any specific subreddit (e.g., "technology", "programming", "science")
- Sort by: hot, new, top, rising, controversial
- Time range: hour, day, week, month, year, all (for top/controversial sort)
- Include subreddit info: Optional flag for subreddit metadata
search_reddit
Search across Reddit or specific subreddits.
- Query: Your search terms
- Filter by: subreddit, author, time, flair
- Sort by: relevance, hot, top, new, comments
get_post_details
Get a post with all its comments.
- Input:
- Reddit URL (full URL including subreddit), OR
- Post ID alone (will auto-detect subreddit, 2 API calls), OR
- Post ID + subreddit (most efficient, 1 API call)
- Options: comment sorting, depth, link extraction
user_analysis
Analyze a Reddit user's profile.
- Username: Any Reddit user
- Returns: karma, posts, comments, active subreddits
reddit_explain
Get explanations of Reddit terms.
- Terms: karma, cake day, AMA, ELI5, etc.
Authentication (Optional)
Want 10x more requests? Add Reddit credentials:
REDDIT_CLIENT_ID=your_client_id
REDDIT_CLIENT_SECRET=your_client_secret
REDDIT_USER_AGENT=YourApp/1.0
- Update your Claude config:
{
"mcpServers": {
"reddit": {
"command": "npx",
"args": ["reddit-buddy-mcp"],
"env": {
"REDDIT_CLIENT_ID": "your_client_id",
"REDDIT_CLIENT_SECRET": "your_client_secret",
"REDDIT_USER_AGENT": "YourApp/1.0"
}
}
}
}
Installation Options
Testing with HTTP Mode (for developers)
To test the server directly in your terminal:
npx @karanb192/reddit-buddy-mcp --http
REDDIT_BUDDY_PORT=8080 npx @karanb192/reddit-buddy-mcp --http
Note: The server runs in stdio mode by default (for Claude Desktop). Use --http flag for testing with Postman MCP or direct API calls.
Global Install
npm install -g @karanb192/reddit-buddy-mcp
reddit-buddy --http
From Source
git clone https://github.com/karanb192/reddit-buddy-mcp.git
cd reddit-buddy-mcp
npm install
npm run build
npm link
Using Docker
docker run -it karanb192/reddit-buddy-mcp
Comparison with Other Tools
| Zero Setup | ✅ Works instantly | ❌ Requires API keys |
| Language | TypeScript/Node.js | Python (most) |
| Tools Count | 5 (focused) | 8-10 (redundant) |
| Fake Metrics | ✅ Real data only | ❌ "Sentiment scores" |
| Search | ✅ Full search | Limited or none |
| Caching | ✅ Smart caching | Usually none |
| LLM Optimized | ✅ Clear params | Confusing options |
Rate Limits
| Anonymous | 10 | 15 min |
| Authenticated | 100 | 5 min |
Why Reddit Buddy?
What others do wrong:
- ❌ Fake metrics - "sentiment scores" that are just keyword counting
- ❌ Complex setup - Requiring API keys just to start
- ❌ Bloated responses - Returning 100+ fields of Reddit's raw API
- ❌ Poor LLM integration - Confusing parameters and unclear descriptions
What we do right:
- ✅ Real data only - If it's not from Reddit's API, we don't make it up
- ✅ Clean responses - Only the fields that matter
- ✅ Clear parameters - LLMs understand exactly what to send
- ✅ Fast & cached - Responses are instant when possible
Examples
Your AI can now answer:
"What are the top posts about GPT-4 today?"
→ search_reddit with query="GPT-4", time="day", sort="top"
"Show me what's trending in technology"
→ browse_subreddit with subreddit="technology", sort="hot"
"What do people think about this article?"
→ search_reddit with the article URL to find discussions
"Analyze the user DeepFuckingValue"
→ user_analysis with username="DeepFuckingValue"
"Get the comments from this Reddit post"
→ get_post_details with url="https://reddit.com/r/..."
"What's trending across all of Reddit?"
→ browse_subreddit with subreddit="all", sort="hot"
Troubleshooting
Common Issues
"Command not found" error
node --version
npm --version
$(npm bin -g)/reddit-buddy-mcp
Rate limit errors
- Without auth: Limited to 10 requests/minute
- Solution: Add Reddit credentials (see Authentication)
"Subreddit not found"
- Check spelling (case-insensitive)
- Some subreddits may be private or quarantined
- Try "all" or "popular" instead
Connection issues
Environment Variables
REDDIT_CLIENT_ID | Reddit app client ID | No | - |
REDDIT_CLIENT_SECRET | Reddit app secret | No | - |
REDDIT_USER_AGENT | User agent string | No | RedditBuddy/1.0 |
REDDIT_BUDDY_HTTP | Run as HTTP server | No | false |
REDDIT_BUDDY_NO_CACHE | Disable caching (always fetch fresh) | No | false |
Technical Details
Smart Caching System
Reddit Buddy includes intelligent caching to improve performance and reduce API calls:
- Memory Safe: Hard limit of 50MB - won't affect your system performance
- Adaptive TTLs: Hot posts (5min), New posts (2min), Top posts (30min)
- LRU Eviction: Automatically removes least-used data when approaching limits
- Hit Tracking: Optimizes cache based on actual usage patterns
This means faster responses and staying well within Reddit's rate limits, all while using minimal system resources.
Development
npm install
npm run dev
npm run build
npm test
npm run lint
npm run typecheck
Requirements
- Node.js >= 18.0.0
- npm or yarn
- TypeScript 5.5+
Contributing
PRs welcome! See CONTRIBUTING.md for guidelines.
We keep things simple:
- No fake analytics
- Clean, typed code
- Clear documentation
- Fast responses
Support
License
MIT - Use it however you want!
Made with ❤️ for the MCP community. No venture capital, no tracking, just a good MCP server.