Lurk

Reddit reader for LLMs — full comment trees, 94% fewer tokens, one binary

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "lurk": {
      "command": "npx",
      "args": [
        "-y",
        "reddit-lurker"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (2)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Lurk.

lurk

Read threads, browse subreddits, search posts, view user activity

lurk_info

Get subreddit metadata (subscribers, active users, description)

Documentation Overview

Lurker

Code

  ██████╗ ███████╗██████╗ ██████╗ ██╗████████╗
  ██╔══██╗██╔════╝██╔══██╗██╔══██╗██║╚══██╔══╝
  ██████╔╝█████╗  ██║  ██║██║  ██║██║   ██║
  ██╔══██╗██╔══╝  ██║  ██║██║  ██║██║   ██║
  ██║  ██║███████╗██████╔╝██████╔╝██║   ██║
  ╚═╝  ╚═╝╚══════╝╚═════╝ ╚═════╝ ╚═╝   ╚═╝
  ██╗     ██╗   ██╗██████╗ ██╗  ██╗███████╗██████╗
  ██║     ██║   ██║██╔══██╗██║ ██╔╝██╔════╝██╔══██╗
  ██║     ██║   ██║██████╔╝█████╔╝ █████╗  ██████╔╝
  ██║     ██║   ██║██╔══██╗██╔═██╗ ██╔══╝  ██╔══██╗
  ███████╗╚██████╔╝██║  ██║██║  ██╗███████╗██║  ██║
  ╚══════╝ ╚═════╝ ╚═╝  ╚═╝╚═╝  ╚═╝╚══════╝╚═╝  ╚═╝

Every comment. Every reply. 94% fewer tokens.

An 800-comment Reddit thread costs ~120K tokens as raw JSON. Lurk delivers the same thread — full depth, every expanded reply — in a fraction of that.

Most Reddit tools fetch top-level comments and stop. The useful stuff is buried 4-5 replies deep. Lurk expands every collapsed branch, resolves every +N more replies placeholder, and reconstructs the full comment tree. Then compresses it into compact tab-delimited notation before it reaches your model.

text

Post: "Finally We have the best agentic AI at home"
 +-- Comment (180 pts)
 |   +-- Reply (46 pts)              <-- most tools stop here
 |   |   +-- Reply (34 pts)
 |   |       +-- Reply (29 pts)
 |   |           +-- Reply (8 pts)
 |   |               +-- Reply (20 pts)
 |   |                   +-- Reply (2 pts)
 |   |                       +-- Reply (4 pts)
 |   |                           +-- Reply (1 pt)
 |   |                               +-- Reply (2 pts)  <-- lurk gets all of it
 +-- Comment (82 pts)
 |   +-- Reply (45 pts)              <-- lurk gets all of this too
 |       +-- Reply ...
 +-- Comment (60 pts)
     +-- +47 more replies (expanded)  <-- and this

104 of 109 comments. 10 levels deep. Fully automatic.

How Token Savings Work

The Go binary preprocesses everything before tokens reach your model:

Fetch — Hits Reddit's JSON endpoints, recursively expands every collapsed more placeholder
Extract — Strips the 50+ unused fields per comment (gildings, awards, flair, metadata) down to 5-6 that matter
Compress — Formats into compact tab-delimited notation: d0 180 Recent-Success-1520 If you can host Kimi 2.5...

The result (benchmarked across 12 threads, 452 comments, 6 subreddits):

Format	Total Tokens	vs JSON	vs Markdown
Raw Reddit JSON	286,425	—	—
Markdown	28,993	-90%	—
Lurk (compact)	16,186	-94%	-44%

94% fewer tokens than JSON. 44% fewer than Markdown. Savings scale with thread depth — shallow quips save ~10-25% vs markdown, deep technical threads save 50-64%.

Smart Comment Limiting

Threads with 200+ comments get a preview first instead of dumping everything:

text

#post   r/ClaudeAI   u/poster   422pts   93%   805cmt   2026-01-28
Finally We have the best agentic AI at home

#comments   461
d0  180  Recent-Success-1520  If you can host Kimi 2.5...
...

#warning   805 total comments, showing 461. Use limit=N for top N by score, or limit=0 for all (~31K tokens).

Claude sees the warning and decides whether to fetch everything or grab the top 50 by score. No surprise 31K-token dumps.

What You Get

Full comment trees at any depth — every collapsed branch expanded
94% fewer tokens than JSON, 44% fewer than Markdown
Smart limiting — large threads preview first, expand on demand
Adaptive caching — new feeds: 2min, hot: 5min, threads: 10min, top: 30min, 50MB LRU cap
Multi-subreddit search — comma-separated subs, parallel fetch, deduped results
OAuth support — optional lurk auth for 6x rate limits (60 req/min vs 10)
All URL formats — reddit.com, old.reddit.com, new.reddit.com, np.reddit.com, redd.it short links, m.reddit.com, amp.reddit.com
Cross-posts traced to the original
Galleries, video, media URLs extracted as clickable links
Single Go binary, zero runtime dependencies
Read-only by design — no write operations, no account access

Install

One-Line Install (Recommended)

Linux / macOS:

Terminal

curl -fsSL https://raw.githubusercontent.com/ProgenyAlpha/reddit-lurker/master/install.sh | bash

Windows (PowerShell):

powershell

irm https://raw.githubusercontent.com/ProgenyAlpha/reddit-lurker/master/install.ps1 | iex

Downloads the binary for your platform and walks you through editor setup. Supports Claude Code, Cursor, Windsurf, VS Code (Copilot), Cline, and Zed.

Homebrew

bash

brew install ProgenyAlpha/tap/lurk

npx

Terminal

npx reddit-lurker

If you already have Node/npm. Also available on Smithery.

Go Install

bash

go install github.com/ProgenyAlpha/reddit-lurker@latest

Builds from source. Requires Go 1.24+. Run ./install.sh afterward for editor configuration.

From Source

bash

git clone https://github.com/ProgenyAlpha/reddit-lurker.git
cd reddit-lurker
./install.sh

The installer walks you through editor selection and integration mode.

Supported Editors

Editor	Config location	MCP key
Claude Code	`~/.claude.json` or `~/.claude/skills/reddit/`	`mcpServers`
Cursor	`~/.cursor/mcp.json`	`mcpServers`
Windsurf	`~/.codeium/windsurf/mcp_config.json`	`mcpServers`
VS Code (Copilot)	`~/.config/Code/User/mcp.json` (Linux) / `~/Library/.../Code/User/mcp.json` (macOS)	`servers`
Cline	VS Code globalStorage (auto-detected)	`mcpServers`
Zed	`~/.config/zed/settings.json`	`context_servers`

Claude Code also supports a Skill mode (~20 tokens overhead vs ~438 for MCP). The installer will ask which you prefer.

Manual Configuration

Add lurk to your editor's MCP config:

Claude Code, Cursor, Windsurf, Cline:

config.json

{
  "mcpServers": {
    "lurk": {
      "command": "lurk",
      "args": ["serve"]
    }
  }
}

GitHub Copilot (VS Code):

config.json

{
  "servers": {
    "lurk": {
      "command": "lurk",
      "args": ["serve"]
    }
  }
}

Zed:

config.json

{
  "context_servers": {
    "lurk": {
      "command": "lurk",
      "args": ["serve"]
    }
  }
}

OAuth (Optional)

Lurk works without any authentication. But if you want 6x the rate limit (60 req/min instead of 10):

bash

lurk auth

This opens Reddit's app creation page, walks you through the 5-minute setup, tests your credentials, and saves them. One-time process. Lurk handles token refresh automatically.

bash

lurk auth --status   # Check if credentials are configured
lurk auth --clear    # Remove saved credentials

You can also set credentials via environment variables in your MCP config:

config.json

{
  "mcpServers": {
    "lurk": {
      "command": "npx",
      "args": ["-y", "reddit-lurker"],
      "env": {
        "LURK_CLIENT_ID": "your_client_id",
        "LURK_CLIENT_SECRET": "your_client_secret"
      }
    }
  }
}

Or via a credentials file at ~/.config/lurk/credentials.json:

config.json

{"client_id": "your_client_id", "client_secret": "your_client_secret"}

Usage

Just talk to Claude naturally:

"Read this thread" + paste a Reddit URL
"What's trending on r/ClaudeAI?"
"Search r/selfhosted,r/homelab for 'ZFS backup'"
"What has u/spez been up to?"

Claude handles the rest. No commands to memorize.

Real Example

Here's what lurk actually outputs for a 109-comment r/LocalLLM thread about running Kimi K2.5 at home.

What most tools give your LLM:

Code

u/Recent-Success-1520 (180 pts)
  If you can host Kimi 2.5 1T+ model at home then it tells
  me you have a really big home

u/No_Conversation9561 (82 pts)
  not in my home

u/rookan (60 pts)
  yeah, my 16GB VRAM card can easily handle it /s

... 12 top-level comments, no replies

What lurk gives your LLM:

Code

#post	r/LocalLLM	u/moks4tda	422pts	93%	109cmt	2026-01-28
Finally We have the best agentic AI at home

#comments	104
d0	180	Recent-Success-1520	If you can host Kimi 2.5 1T+ model at home...
d1	46	HenkPoley	Apparently it's a native 4 bit weights. So "only" 640 GB needed...
d2	34	TechnicalGeologist99	Sorry...you're going to run that model on RAM?
d3	29	HenkPoley	24 tokens per second on 2x 512GB Max Studio M3 Ultra
d4	8	doradus_novae	See you tomorrow when it answers your question
d5	20	Scrubbingbubblz	You are over exaggerating. 24 tokens per second...
d6	2	Infinite100p	But what is the prompt processing speed?
d7	4	Miserable-Dare5090	It's GPU inference, on two m3 ultras over TB5...
d8	1	Infinite100p	How?
d9	2	Eastern-Group-1993	Via usb-c networking, RDMA.
d0	82	No_Conversation9561	not in my home
d1	45	gonxot	[image] Maybe it's the same guy lol
d0	60	rookan	yeah, my 16GB VRAM card can easily handle it /s
d0	27	keypa_	"at home" we probably don't have the same home...
...

Read the full README →View source on GitHub →

Related MCP Servers

View all in Social Media View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

175

Package downloads in the last 30 days.

Last commit

1mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Lurk

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "lurk": { "command": "npx", "args": ["-y","reddit-lurker"] } }

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Technical Specs & Signals

CategorySocial Media

11/13 checks healthy over the last 45d

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity5/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev · reddit-lurker (npm)

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More in 🌐 Social Media →Best MCP servers for Social Media →Alternatives to Lurk →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Lurk

Reddit reader for LLMs — full comment trees, 94% fewer tokens, one binary

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "lurk": {
      "command": "npx",
      "args": [
        "-y",
        "reddit-lurker"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (2)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Lurk.

lurk

Read threads, browse subreddits, search posts, view user activity

lurk_info

Get subreddit metadata (subscribers, active users, description)

Documentation Overview

Lurker

Code

  ██████╗ ███████╗██████╗ ██████╗ ██╗████████╗
  ██╔══██╗██╔════╝██╔══██╗██╔══██╗██║╚══██╔══╝
  ██████╔╝█████╗  ██║  ██║██║  ██║██║   ██║
  ██╔══██╗██╔══╝  ██║  ██║██║  ██║██║   ██║
  ██║  ██║███████╗██████╔╝██████╔╝██║   ██║
  ╚═╝  ╚═╝╚══════╝╚═════╝ ╚═════╝ ╚═╝   ╚═╝
  ██╗     ██╗   ██╗██████╗ ██╗  ██╗███████╗██████╗
  ██║     ██║   ██║██╔══██╗██║ ██╔╝██╔════╝██╔══██╗
  ██║     ██║   ██║██████╔╝█████╔╝ █████╗  ██████╔╝
  ██║     ██║   ██║██╔══██╗██╔═██╗ ██╔══╝  ██╔══██╗
  ███████╗╚██████╔╝██║  ██║██║  ██╗███████╗██║  ██║
  ╚══════╝ ╚═════╝ ╚═╝  ╚═╝╚═╝  ╚═╝╚══════╝╚═╝  ╚═╝

Every comment. Every reply. 94% fewer tokens.

An 800-comment Reddit thread costs ~120K tokens as raw JSON. Lurk delivers the same thread — full depth, every expanded reply — in a fraction of that.

text

Post: "Finally We have the best agentic AI at home"
 +-- Comment (180 pts)
 |   +-- Reply (46 pts)              <-- most tools stop here
 |   |   +-- Reply (34 pts)
 |   |       +-- Reply (29 pts)
 |   |           +-- Reply (8 pts)
 |   |               +-- Reply (20 pts)
 |   |                   +-- Reply (2 pts)
 |   |                       +-- Reply (4 pts)
 |   |                           +-- Reply (1 pt)
 |   |                               +-- Reply (2 pts)  <-- lurk gets all of it
 +-- Comment (82 pts)
 |   +-- Reply (45 pts)              <-- lurk gets all of this too
 |       +-- Reply ...
 +-- Comment (60 pts)
     +-- +47 more replies (expanded)  <-- and this

104 of 109 comments. 10 levels deep. Fully automatic.

How Token Savings Work

The Go binary preprocesses everything before tokens reach your model:

Fetch — Hits Reddit's JSON endpoints, recursively expands every collapsed more placeholder
Extract — Strips the 50+ unused fields per comment (gildings, awards, flair, metadata) down to 5-6 that matter
Compress — Formats into compact tab-delimited notation: d0 180 Recent-Success-1520 If you can host Kimi 2.5...

The result (benchmarked across 12 threads, 452 comments, 6 subreddits):

Format	Total Tokens	vs JSON	vs Markdown
Raw Reddit JSON	286,425	—	—
Markdown	28,993	-90%	—
Lurk (compact)	16,186	-94%	-44%

94% fewer tokens than JSON. 44% fewer than Markdown. Savings scale with thread depth — shallow quips save ~10-25% vs markdown, deep technical threads save 50-64%.

Smart Comment Limiting

Threads with 200+ comments get a preview first instead of dumping everything:

text

#post   r/ClaudeAI   u/poster   422pts   93%   805cmt   2026-01-28
Finally We have the best agentic AI at home

#comments   461
d0  180  Recent-Success-1520  If you can host Kimi 2.5...
...

#warning   805 total comments, showing 461. Use limit=N for top N by score, or limit=0 for all (~31K tokens).

Claude sees the warning and decides whether to fetch everything or grab the top 50 by score. No surprise 31K-token dumps.

What You Get

Full comment trees at any depth — every collapsed branch expanded
94% fewer tokens than JSON, 44% fewer than Markdown
Smart limiting — large threads preview first, expand on demand
Adaptive caching — new feeds: 2min, hot: 5min, threads: 10min, top: 30min, 50MB LRU cap
Multi-subreddit search — comma-separated subs, parallel fetch, deduped results
OAuth support — optional lurk auth for 6x rate limits (60 req/min vs 10)
All URL formats — reddit.com, old.reddit.com, new.reddit.com, np.reddit.com, redd.it short links, m.reddit.com, amp.reddit.com
Cross-posts traced to the original
Galleries, video, media URLs extracted as clickable links
Single Go binary, zero runtime dependencies
Read-only by design — no write operations, no account access

Install

One-Line Install (Recommended)

Linux / macOS:

Terminal

curl -fsSL https://raw.githubusercontent.com/ProgenyAlpha/reddit-lurker/master/install.sh | bash

Windows (PowerShell):

powershell

irm https://raw.githubusercontent.com/ProgenyAlpha/reddit-lurker/master/install.ps1 | iex

Downloads the binary for your platform and walks you through editor setup. Supports Claude Code, Cursor, Windsurf, VS Code (Copilot), Cline, and Zed.

Homebrew

bash

brew install ProgenyAlpha/tap/lurk

npx

Terminal

npx reddit-lurker

If you already have Node/npm. Also available on Smithery.

Go Install

bash

go install github.com/ProgenyAlpha/reddit-lurker@latest

Builds from source. Requires Go 1.24+. Run ./install.sh afterward for editor configuration.

From Source

bash

git clone https://github.com/ProgenyAlpha/reddit-lurker.git
cd reddit-lurker
./install.sh

The installer walks you through editor selection and integration mode.

Supported Editors

Editor	Config location	MCP key
Claude Code	`~/.claude.json` or `~/.claude/skills/reddit/`	`mcpServers`
Cursor	`~/.cursor/mcp.json`	`mcpServers`
Windsurf	`~/.codeium/windsurf/mcp_config.json`	`mcpServers`
VS Code (Copilot)	`~/.config/Code/User/mcp.json` (Linux) / `~/Library/.../Code/User/mcp.json` (macOS)	`servers`
Cline	VS Code globalStorage (auto-detected)	`mcpServers`
Zed	`~/.config/zed/settings.json`	`context_servers`

Claude Code also supports a Skill mode (~20 tokens overhead vs ~438 for MCP). The installer will ask which you prefer.

Manual Configuration

Add lurk to your editor's MCP config:

Claude Code, Cursor, Windsurf, Cline:

config.json

{
  "mcpServers": {
    "lurk": {
      "command": "lurk",
      "args": ["serve"]
    }
  }
}

GitHub Copilot (VS Code):

config.json

{
  "servers": {
    "lurk": {
      "command": "lurk",
      "args": ["serve"]
    }
  }
}

Zed:

config.json

{
  "context_servers": {
    "lurk": {
      "command": "lurk",
      "args": ["serve"]
    }
  }
}

OAuth (Optional)

Lurk works without any authentication. But if you want 6x the rate limit (60 req/min instead of 10):

bash

lurk auth

This opens Reddit's app creation page, walks you through the 5-minute setup, tests your credentials, and saves them. One-time process. Lurk handles token refresh automatically.

bash

lurk auth --status   # Check if credentials are configured
lurk auth --clear    # Remove saved credentials

You can also set credentials via environment variables in your MCP config:

config.json

{
  "mcpServers": {
    "lurk": {
      "command": "npx",
      "args": ["-y", "reddit-lurker"],
      "env": {
        "LURK_CLIENT_ID": "your_client_id",
        "LURK_CLIENT_SECRET": "your_client_secret"
      }
    }
  }
}

Or via a credentials file at ~/.config/lurk/credentials.json:

config.json

{"client_id": "your_client_id", "client_secret": "your_client_secret"}

Usage

Just talk to Claude naturally:

"Read this thread" + paste a Reddit URL
"What's trending on r/ClaudeAI?"
"Search r/selfhosted,r/homelab for 'ZFS backup'"
"What has u/spez been up to?"

Claude handles the rest. No commands to memorize.

Real Example

Here's what lurk actually outputs for a 109-comment r/LocalLLM thread about running Kimi K2.5 at home.

What most tools give your LLM:

Code

u/Recent-Success-1520 (180 pts)
  If you can host Kimi 2.5 1T+ model at home then it tells
  me you have a really big home

u/No_Conversation9561 (82 pts)
  not in my home

u/rookan (60 pts)
  yeah, my 16GB VRAM card can easily handle it /s

... 12 top-level comments, no replies

What lurk gives your LLM:

Code

#post	r/LocalLLM	u/moks4tda	422pts	93%	109cmt	2026-01-28
Finally We have the best agentic AI at home

#comments	104
d0	180	Recent-Success-1520	If you can host Kimi 2.5 1T+ model at home...
d1	46	HenkPoley	Apparently it's a native 4 bit weights. So "only" 640 GB needed...
d2	34	TechnicalGeologist99	Sorry...you're going to run that model on RAM?
d3	29	HenkPoley	24 tokens per second on 2x 512GB Max Studio M3 Ultra
d4	8	doradus_novae	See you tomorrow when it answers your question
d5	20	Scrubbingbubblz	You are over exaggerating. 24 tokens per second...
d6	2	Infinite100p	But what is the prompt processing speed?
d7	4	Miserable-Dare5090	It's GPU inference, on two m3 ultras over TB5...
d8	1	Infinite100p	How?
d9	2	Eastern-Group-1993	Via usb-c networking, RDMA.
d0	82	No_Conversation9561	not in my home
d1	45	gonxot	[image] Maybe it's the same guy lol
d0	60	rookan	yeah, my 16GB VRAM card can easily handle it /s
d0	27	keypa_	"at home" we probably don't have the same home...
...

Read the full README →View source on GitHub →

Related MCP Servers

View all in Social Media View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

175

Package downloads in the last 30 days.

Last commit

1mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Lurk

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "lurk": { "command": "npx", "args": ["-y","reddit-lurker"] } }

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[![AllMCPs](https://allmcps.com/api/badge/lurk?style=directory)](https://allmcps.com/mcp/lurk)

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<a href="https://allmcps.com/mcp/lurk"><img src="https://allmcps.com/api/badge/lurk?style=directory" alt="Lurk on AllMCPs" /></a>

Technical Specs & Signals

CategorySocial Media

11/13 checks healthy over the last 45d

51Quality signal: Good · 51/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity5/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev · reddit-lurker (npm)

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