social-pulse
Real-time Reddit + Hacker News sensing: trending, mention velocity, sentiment, emerging terms.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (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
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"social-pulse": {
"url": "https://social.dropwatchhq.com/mcp"
}
}
}Remote-Endpunkte
https://social.dropwatchhq.com/mcpstreamable-httpWas es kann
Tool-Inventar
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.
Eingabe-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 ($AAPL), brand, or product across Reddit + Hacker News over a time window. Returns total mentions, day-by-day buckets, a velocity (rising/falling) signal, lexical sentiment breakdown, and the top posts. Use for brand-watch, ticker-buzz, product-launch tracking, or trend-confirmation. Live data.
Eingabe-Schema
{
"type": "object",
"properties": {
"term": {
"type": "string",
"description": "The term/ticker/brand/product to track, e.g. 'Claude', '$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.
Eingabe-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.
Eingabe-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
Nachweis