Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"lurk": {
"args": [
"serve"
],
"command": "lurk"
}
}
}Are you the author?
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Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'reddit-lurker' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked reddit-lurker against OSV.dev.
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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.
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.
The Go binary preprocesses everything before tokens reach your model:
more placeholderd0 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%.
Threads with 200+ comments get a preview first instead of dumping everything:
#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
... [View full README on GitHub](https://github.com/ProgenyAlpha/reddit-lurker#readme)