io.github.latent-9/reddit-growth-mcp
PYPI · REDDIT-GROWTH-MCP
Find where to post on Reddit and score your draft before posting — no API keys needed.
Available components
Last scanned (1 day ago)
Scores higher than 89% of PyPI servers
Category Marketing and SEO
Recent critical change
GHSA-6q48-6c7w-9gw2 affects this package (21 Oct 2026). See the changelog before you install this server.
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 2 of 24 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 105 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability84
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 1373 tokens (~105/item across 13 items; 13 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 31 Oct 26 0
- Provenance: unverified → fail ▼ security
- 30 Oct 26 0
- Provenance: fail → unverified ▼ security
- Stability: 0.97 → pass security
- 29 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- Stability: pass → 0.97 functional
- 28 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 23 Oct 26 0
- Stability: 0.97 → pass security
- 22 Oct 26 +86
- GHSA-6q48-6c7w-9gw2 no longer affects this package ▲ security
- Known CVEs: fail → pass ▲ security
- Score status: failed → scored ▲ functional
- Stability: pass → 0.97 functional
- 21 Oct 26 −71
- GHSA-6q48-6c7w-9gw2 affects this package: none ▼ critical
- Known CVEs: pass → fail ▼ critical
- Score status: scored → failed ▼ critical
- Malware scan: unverified → pass ▲ security
- 20 Oct 26 −15
- Malware scan: pass → unverified ▼ security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Analysed pypi/reddit-growth-mcp@0.2.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 24 packages
| Packages resolved | 24 |
|---|---|
| Stale | 2 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
analyze_acceptance ~103
Analyze a subreddit's removal rate and what tends to get removed (official rules when credentials are present)
| Name | Type | Req | Description |
|---|---|---|---|
| archive_window | string | – | Archive lookback window, e.g. 7d/14d/1month |
| sample_size | integer | – | Posts to sample for removal analysis |
| subreddit_name | string | yes | Subreddit name (without r/) |
| use_archive | boolean | – | Use Arctic Shift archive-vs-live diff for accurate removal detection |
Structured output declared, but exposes no named fields.
No examples provided.
analyze_insight ~81
Measure a subreddit's discussion depth (insight): how substantive its comments are, plus a heuristic sentiment read. No creds needed.
| Name | Type | Req | Description |
|---|---|---|---|
| after | string | – | Comment lookback window, e.g. 3d/7d |
| sample | integer | – | Comments to sample |
| subreddit_name | string | yes | Subreddit name (without r/) |
Structured output declared, but exposes no named fields.
No examples provided.
analyze_post_patterns ~119
Find what makes posts perform: timing, title style, media, flair
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Posts to sample |
| listing_type | string | – | top | hot | new |
| metric | string | – | score | comments | discussion (anti-clickbait) | quality |
| source | string | – | auto | reddit | archive (archive needs no Reddit creds) |
| subreddit_name | string | yes | Subreddit name (without r/) |
| time_filter | string | – | all|year|month|week|day (for 'top') |
Structured output declared, but exposes no named fields.
No examples provided.
analyze_subreddit ~61
Estimate a subreddit's activity (posts/day velocity from the archive; subscribers and active users too when credentials are present)
| Name | Type | Req | Description |
|---|---|---|---|
| sample_size | integer | – | Recent posts to sample for velocity |
| subreddit_name | string | yes | Subreddit name (without r/) |
Structured output declared, but exposes no named fields.
No examples provided.
compare_subreddits ~120
Rank subreddits by growth (typical reach + viral upside, removal-adjusted), with traffic, discussion, and a safety label. rank_by switches to viral/opportunity/insight. No creds needed.
| Name | Type | Req | Description |
|---|---|---|---|
| rank_by | string | – | growth | viral | opportunity | insight (discussion depth) |
| sample | integer | – | Posts to sample per subreddit |
| subreddits | array | yes | Subreddit names to compare |
| window | string | – | Archive lookback, e.g. 30d/60d/90d |
Structured output declared, but exposes no named fields.
No examples provided.
evaluate_draft ~98
Evaluate a post draft for acceptance risk and engagement potential
| Name | Type | Req | Description |
|---|---|---|---|
| body | string | – | Draft self-text body (optional) |
| flair | – | – | Intended flair (optional) |
| post_type | string | – | text | image | video | link |
| subreddit_name | string | yes | Target subreddit (without r/) |
| time_filter | string | – | Pattern window: all|year|month|week |
| title | string | yes | Draft post title |
Structured output declared, but exposes no named fields.
No examples provided.
evaluate_draft_across ~120
Score one draft across several subreddits and rank by normalized fit (size-fair percentile) vs raw reach. No creds needed.
| Name | Type | Req | Description |
|---|---|---|---|
| body | string | – | Draft self-text body (optional) |
| flair | – | – | Intended flair (optional) |
| post_type | string | – | text | image | video | link |
| subreddits | array | yes | Subreddits to compare the draft against |
| time_filter | string | – | Pattern window: all|year|month|week |
| title | string | yes | Draft post title |
Structured output declared, but exposes no named fields.
No examples provided.
fetch_comments ~57
Fetch a post with its comment tree
| Name | Type | Req | Description |
|---|---|---|---|
| comment_limit | integer | – | Max comments |
| comment_sort | string | – | best|top|new |
| submission_id | – | – | Reddit post ID |
| url | – | – | Full Reddit post URL |
Structured output declared, but exposes no named fields.
No examples provided.
fetch_multiple ~72
Fetch posts from multiple subreddits at once
| Name | Type | Req | Description |
|---|---|---|---|
| limit_per_subreddit | integer | – | Posts per subreddit |
| listing_type | string | – | hot|new|top|rising |
| subreddit_names | array | yes | Subreddit names (without r/) |
| time_filter | – | – | For 'top' listing |
Structured output declared, but exposes no named fields.
No examples provided.
fetch_posts ~66
Fetch posts from a single subreddit
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Number of posts |
| listing_type | string | – | hot|new|top|rising |
| subreddit_name | string | yes | Subreddit name (without r/) |
| time_filter | – | – | For 'top' listing |
Structured output declared, but exposes no named fields.
No examples provided.
find_target_subreddits_tool ~102
Discover and rank subreddits for given topics by estimated traffic
| Name | Type | Req | Description |
|---|---|---|---|
| include_nsfw | boolean | – | Include NSFW subreddits |
| limit_per_topic | integer | – | Search results per topic |
| min_daily_visitors | integer | – | Estimated daily-visitor threshold |
| min_subscribers | integer | – | Minimum subscriber count |
| topics | array | yes | Topics/keywords, e.g. ['ai','ascii art','repo'] |
Structured output declared, but exposes no named fields.
No examples provided.
growth_plan ~98
Build a growth plan from candidate subreddits: pick the safest strong one, list cross-post targets, and return its viral recipe and best posting times. No credentials needed.
| Name | Type | Req | Description |
|---|---|---|---|
| subreddits | array | yes | Candidate subreddits to plan across |
| time_filter | string | – | Pattern window for the recipe: week|month|year |
| window | string | – | Archive lookback, e.g. 30d/60d |
Structured output declared, but exposes no named fields.
No examples provided.
search_subreddit ~78
Search posts within a subreddit
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Max results |
| query | string | yes | Search terms |
| sort | string | – | relevance|hot|top|new |
| subreddit_name | string | yes | Subreddit name (without r/) |
| time_filter | string | – | all|year|month|week|day |
Structured output declared, but exposes no named fields.
No examples provided.
How do I install the io.github.latent-9/reddit-growth-mcp server?
io.github.latent-9/reddit-growth-mcp runs locally as a PyPI package, launched with uvx reddit-growth-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · reddit-growth-mcp
claude mcp add latent-9-reddit-growth-mcp -- uvx reddit-growth-mcp
What is the io.github.latent-9/reddit-growth-mcp server?
io.github.latent-9/reddit-growth-mcp is listed in the public MCP registry as io.github.latent-9/reddit-growth-mcp. Find where to post on Reddit and score your draft before posting, no API keys needed. This page covers its PyPI package (reddit-growth-mcp).
Is the io.github.latent-9/reddit-growth-mcp server safe to use?
io.github.latent-9/reddit-growth-mcp scores 86 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.latent-9/reddit-growth-mcp server expose?
io.github.latent-9/reddit-growth-mcp exposes 13 tools: find_target_subreddits_tool, analyze_subreddit, analyze_acceptance, analyze_post_patterns, evaluate_draft, and 8 more. Their descriptions and schemas cost roughly 1,175 tokens of context every time the server is loaded.
Is the io.github.latent-9/reddit-growth-mcp server still maintained?
io.github.latent-9/reddit-growth-mcp is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.latent-9/reddit-growth-mcp server under?
io.github.latent-9/reddit-growth-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.