Mcp Reddit Companion

Enables natural language interactions with personalized Reddit feeds, allowing users to analyze and summarize content relevant to their interests.

Author

Mcp Reddit Companion logo

saginawj

MIT License

Quick Info

GitHub GitHub Stars 0
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Tools 1
Last Updated 27/4/2025

Tags

feeds content reddit reddit companion reddit feeds content creation

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MCP Reddit Companion

An MCP tool that enables natural language interaction with your personal Reddit experience. Create custom curated feeds on Reddit and use your favorite LLM client to analyze, summarize, and engage with content that matters to you.

Example LLM Commands

Here are some example commands you can use with your LLM client:

# Basic Feed Interaction
"Show me the latest posts from my 'tech-news' feed"
"Summarize the top posts from my 'science' feed"
"What are the trending topics in my 'programming' feed?"

# Content Analysis
"What are the common themes in my 'ai' feed?"
"Which of my recent posts got the most engagement?"
"Summarize the discussions in my 'philosophy' feed"

# Personal Activity
"Show me my recent Reddit activity"
"What comments have I received on my posts?"
"Are there any unread messages in my inbox?"

# Engagement Tracking
"How are my recent posts performing?"
"Show me the most active discussions in my feeds"
"What posts got the most comments in my 'news' feed?"

Prerequisites

  • Python 3.11+
  • Reddit account credentials (username, password)
  • Docker (optional, for containerized deployment)
  • An MCP-compatible LLM client (like Cursor)

Installation

Local Installation

  1. Clone the repository:
git clone https://github.com/yourusername/mcp-reddit.git
cd mcp-reddit
  1. Install dependencies using uv:
uv pip install .
  1. Create a .env file with your Reddit API credentials:
REDDIT_CLIENT_ID=your_client_id
REDDIT_CLIENT_SECRET=your_client_secret
REDDIT_USERNAME=your_username
REDDIT_PASSWORD=your_password

Docker Installation

  1. Build the Docker image:
docker build -t mcp-reddit .
  1. Run the container (for passwords with special characters):
docker run \
  -e REDDIT_CLIENT_ID='your_client_id' \
  -e REDDIT_CLIENT_SECRET='your_client_secret' \
  -e REDDIT_USERNAME='your_username' \
  -e REDDIT_PASSWORD='your_password' \
  mcp-reddit

Note: If your password contains special characters (like !, $, etc.), make sure to:

  1. Use single quotes around the password
  2. Escape any special characters with a backslash
  3. Or use double quotes and escape the special characters

Example with special characters:

docker run \
  -e REDDIT_CLIENT_ID='your_client_id' \
  -e REDDIT_CLIENT_SECRET='your_client_secret' \
  -e REDDIT_USERNAME='your_username' \
  -e REDDIT_PASSWORD='your\!password' \
  mcp-reddit

Usage

Local Usage

  1. Start the MCP server:
uv run mcp dev src/mcp_reddit_companion/server.py

or

  1. Install in Claude Desktop
uv run mcp install src/mcp_reddit_companion/server.py 

Docker Usage

The MCP server will start automatically when the container runs. Connect your LLM client to interact with your Reddit feeds.

Configuration

Cursor Integration

To use with Cursor, add the following to your ~/.cursor/mcp.json:

{
  "mcpServers": {
    "reddit-companion": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\code\\personal\\mcp-reddit",
        "run",
        "mcp",
        "dev",
        "src/mcp_reddit_companion/server.py"
      ]
    }
  }
}

License

MIT