social-pulse
Real-time Reddit + Hacker News sensing: trending, mention velocity, sentiment, emerging terms.
Should I use this
Quality & Safety
Findings (4)
- HIGHTool poisoning patterns detected
- INFOTool description contains placeholder or incomplete textin trending_topics
- INFOTool description contains placeholder or incomplete textin mention_pulse
- INFOTool description contains placeholder or incomplete textin whats_being_said
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"social-pulse": {
"url": "https://social.dropwatchhq.com/mcp"
}
}
}Remote endpoints
https://social.dropwatchhq.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (4)
🟢trending_topics(subreddit, limit)
What is SURGING on Reddit + Hacker News right now. Returns a ranked list of terms/topics by real-time momentum (recency-weighted engagement across newest posts), scoped to a subreddit or overall. Use to answer 'what's trending on r/<x>' / 'what is the internet talking about today'. Live data from Arctic Shift (Reddit) + HN Algolia — no stale snapshot.
Input Schema
{
"type": "object",
"properties": {
"subreddit": {
"type": "string",
"description": "Limit to one subreddit, e.g. 'wallstreetbets' or 'r/SaaS'. Omit for overall (Reddit + HN)."
},
"limit": {
"type": "number",
"description": "Max trending terms (default 15)."
}
}
}🟢mention_pulse(term, days, subreddit)
Mention COUNT + VELOCITY + SENTIMENT for a term, ticker ($AAPL), brand, or product across Reddit + Hacker News over a time window. Returns total mentions, day-by-day buckets, a velocity (rising/falling) signal, lexical sentiment breakdown, and the top posts. Use for brand-watch, ticker-buzz, product-launch tracking, or trend-confirmation. Live data.
Input Schema
{
"type": "object",
"properties": {
"term": {
"type": "string",
"description": "The term/ticker/brand/product to track, e.g. 'Claude', '$NVDA', 'Notion'."
},
"days": {
"type": "number",
"description": "Look-back window in days (default 7, max ~30)."
},
"subreddit": {
"type": "string",
"description": "Optional: restrict the Reddit side to one subreddit."
}
},
"required": [
"term"
]
}🟡whats_being_said(query, days, subreddit, limit)
Top recent posts and the dominant discussion THEMES for a query across Reddit + Hacker News. Use to quickly understand 'what are people saying about X' — the actual posts plus the co-occurring themes/angles. Each post carries score, comments, sentiment and a link. Live data.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "What to look up, e.g. 'vision pro returns' or 'rust vs go'."
},
"days": {
"type": "number",
"description": "Look-back window in days (default 14)."
},
"subreddit": {
"type": "string",
"description": "Optional: restrict the Reddit side to one subreddit."
},
"limit": {
"type": "number",
"description": "Max posts (default 12)."
}
},
"required": [
"query"
]
}⚪emerging_terms(days, limit)
Newly FIRST-APPEARING terms from our rolling novelty ledger (Reddit/HN newest posts + the 24/7 idea_intel loop). Surfaces words/phrases/tickers we just started seeing — early-signal detection for new products, memes, projects, or narratives. Each row carries a first_seen date + sample.
Input Schema
{
"type": "object",
"properties": {
"days": {
"type": "number",
"description": "Only terms first seen within N days (default 14)."
},
"limit": {
"type": "number",
"description": "Max terms (default 25)."
}
}
}Community
Evidence