by Arindam200 · MCP Server · ★ 270
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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 Retrieve user comment and post history with flexible filtering Fetch and analyze top posts from any subreddit Search for posts across all of Reddit or within specific subreddits using search terms 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 Connect to the MCP s
| Stars | 270 |
| Forks | 38 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 49.2/100 |
| Open Issues | 4 |
| Last Updated | 2025-12-21 |
| Created | 2025-05-02 |
| Platforms | mcp, python |
| Est. Tokens | ~74k |
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reddit-mcp is Model Context Protocol server implementation for Reddit. It is categorized as a MCP Server with 270 GitHub stars.
reddit-mcp is primarily written in Python. It covers topics such as mcp, mcp-server, reddit.
You can find installation instructions and usage details in the reddit-mcp GitHub repository at github.com/Arindam200/reddit-mcp. The project has 270 stars and 38 forks, indicating an active community.
reddit-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to reddit-mcp on Agent Skills Hub include reddit-mcp-buddy, mcpcan, redd-archiver. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.