Reddit MCP Server
This repository contains a Model Context Protocol server implementation for Reddit that allows AI assistants to access and interact with Reddit content through PRAW (Python Reddit API Wrapper).
What is MCP?
The Model Context Protocol (MCP) is a standard for enabling AI assistants to interface with external services, tools, and data sources. This server implements the MCP specification to provide access to Reddit content.
To know more about MCP, Check this video
Features
- Get detailed user information with engagement analysis
- Fetch and analyze top posts from any subreddit
- Get comprehensive subreddit statistics and health metrics
- View trending subreddits with growth patterns
- Create strategic posts with timing recommendations
- Reply to posts and comments with engagement optimization
- AI-driven insights and recommendations
- Smart response formatting with engagement metrics
Installation
- Clone this repository
git clone https://github.com/Arindam200/reddit-mcp.git
cd reddit-mcp
Connect to the MCP server
Copy the below json with the appropriate {{PATH}} values:
{ "mcpServers": { "reddit": { "command": "{{PATH_TO_UV}}", // Run `which uv` and place the output here "args": [ "--directory", "{{PATH_TO_SRC}}", // cd into the repo, run `pwd` and enter the output here "run", "server.py" ], "env": { "REDDIT_CLIENT_ID": "your_client_id", "REDDIT_CLIENT_SECRET": "your_client_secret", "REDDIT_USERNAME": "your_username", // Optional for authenticated operations "REDDIT_PASSWORD": "your_password" // Optional for authenticated operations } } } }
You can obtain Reddit API credentials by creating an app at Reddit's app preferences page.
For Claude, save this as
claude_desktop_config.json
in your Claude Desktop configuration directory at:~/Library/Application Support/Claude/claude_desktop_config.json
For Cursor, save this as
mcp.json
in your Cursor configuration directory at:~/.cursor/mcp.json
Restart Claude Desktop / Cursor
Open Claude Desktop and you should now see Reddit as an available integration.
Or restart Cursor.
Available Tools
The server provides the following tools:
Read-only Tools (require only client credentials):
get_user_info(username)
- Get detailed user analysis with engagement insightsget_top_posts(subreddit, time_filter, limit)
- Get and analyze top postsget_subreddit_stats(subreddit)
- Get comprehensive subreddit analysisget_trending_subreddits()
- Get list of trending subreddits
Authenticated Tools (require user credentials):
create_post(subreddit, title, content, flair, is_self)
- Create an optimized postreply_to_post(post_id, content, subreddit)
- Add a reply with engagement insightsreply_to_comment(comment_id, content, subreddit)
- Add a strategic reply
Example Queries
Here are some examples of what you can ask an AI assistant connected to this server:
- "Analyze u/spez's Reddit activity"
- "Show me the top posts from r/Python this week"
- "Get statistics about r/AskReddit"
- "What are the trending subreddits right now?"
- "Create a post in r/Python about a new project"
- "Reply to this post with an insightful comment"
- "What's the best time to post in this subreddit?"
Advanced Features
AI-Driven Analysis
The server provides intelligent analysis in several areas:
User Analysis
- Engagement patterns
- Activity trends
- Community influence
- Personalized recommendations
Post Analysis
- Performance metrics
- Engagement quality
- Timing optimization
- Content impact assessment
Community Analysis
- Health indicators
- Growth patterns
- Activity metrics
- Engagement opportunities
Smart Response Formatting
- Organized bullet points
- Engagement statistics
- AI-driven insights
- Strategic recommendations
- Performance metrics
Authentication
The server supports two levels of authentication:
Read-only Access
- Requires:
client_id
andclient_secret
- Allows: Fetching public data, reading posts/comments
- Requires:
Authenticated Access
- Requires: All read-only credentials PLUS
username
andpassword
- Allows: All read-only operations PLUS posting and commenting
- Requires: All read-only credentials PLUS
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.