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llm-fragments-reddit

reddit thread to llm cli fragments adapter

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README

From the repo.

llm-fragments-reddit

A plugin for llm that loads Reddit threads as fragments, making it easy to analyze and summarize Reddit discussions with large language models.

Features

  • Load entire Reddit threads (submission + comments) as LLM fragments
  • Support for both Reddit URLs and submission IDs
  • Preserves comment hierarchy with proper indentation
  • Converts threads to clean Markdown format
  • Handles deleted comments and "load more" placeholders gracefully

Installation

Install using pip:

llm install llm-fragments-reddit

Or for development:

git clone https://github.com/banteg/llm-fragments-reddit
cd llm-fragments-reddit
pip install -e .

Usage

The plugin adds a reddit fragment loader to the llm command. You can use it in two ways:

Using Reddit URLs

llm -f reddit:https://www.reddit.com/r/Python/comments/abc123/my_thread/ "summarize the key ideas"

Using Submission IDs

llm -f reddit:abc123 "extract the main arguments from this discussion"

How it works

The plugin:

  1. Fetches the Reddit thread using Reddit's JSON API
  2. Converts the submission title, self-text, and comment tree into Markdown
  3. Preserves comment hierarchy with indentation (2 spaces per nesting level)
  4. Each comment is formatted as: - **u/username**: comment body
  5. Returns the entire thread as a single fragment for LLM processing

Output Format

The generated fragment includes:

  • Thread title as H1 header
  • Original post content (if any)
  • Nested comment tree with proper indentation
  • Author attribution for each comment

Example output structure:

# DAE think Reddit is becoming too mainstream?

I've been on Reddit for 7 years (this is my alt account) and I swear the quality of discourse has really declined. Back in my day we had actual discussions instead of just memes and karma farming.

---

- **u/NostalgicRedditor2016**: This. So much this. I remember when you could have nuanced discussions without getting downvoted to oblivion.
  - **u/ActuallyIm14**: OK boomer. Reddit was always trash, you just got older and realized it.
    - **u/NostalgicRedditor2016**: I'm 23 but go off I guess
      - **u/GrammarNaziPatrol**: *you're
        - **u/NostalgicRedditor2016**: No, "you" is correct there. Maybe learn grammar before correcting others?
          - **u/GrammarNaziPatrol**: Edit: Thanks for the gold, kind stranger!
- **u/RedditExpert2024**: Unpopular opinion but Reddit has always been a circlejerk. The real issue is people thinking upvotes = truth
  - **u/PhilosophyUndergrad**: This is a profound observation. As Nietzsche once said... [3000 word comment about nihilism]
    - **u/SkippedTheReading**: TL;DR?
- **u/PowerModerator**: Locked. Y'all can't behave.

Requirements

  • Python ≥ 3.12
  • llm ≥ 0.26
  • requests ≥ 2.32.3

License

MIT License - see the source code for details.

Author

Created by banteg

Collected info

  • 17 stars
  • 1 forks
  • Language: Python
  • Source updated: 3/10/2026

Config for your environment

Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "{MCP_ENDPOINT_URL}"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.