Signalcrest
Cross-source trend signals from 10 developer communities, scored every 30 minutes.
我該用這個嗎
品質與安全性
發現項目（2）
- HIGHTool poisoning patterns detected
- INFOTool description contains placeholder or incomplete text在 list_signals 中
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"signalcrest": {
"url": "https://www.signalcrest.app/api/mcp"
}
}
}遠端端點
https://www.signalcrest.app/api/mcpstreamable-http它能做什麼
工具清單
工具（4）
🟢list_signals(category, limit)
Top technology signals ranked by momentum right now, scored every 30 minutes across ten developer and builder communities (Hacker News, GitHub, Stack Overflow, npm, Hugging Face, Dev.to, Lobsters, Product Hunt, arXiv, crypto governance forums). Call this to find what is gaining traction before it reaches search-trend tools — e.g. when the user asks what is emerging, trending, or worth paying attention to in a technology area. Returns live unredacted data with no delay.
輸入結構描述
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"ai",
"devtools",
"security",
"web",
"data",
"crypto",
"hardware",
"business",
"science",
"other"
],
"description": "Restrict to one category. Omit for all categories."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 200,
"description": "How many signals to return (default 50, max 200)."
}
},
"required": [],
"additionalProperties": false
}🟢get_topic(id)
Full detail and complete score history for one topic, by id (e.g. "hn:48910545", "gh:1287845516"). Call this after list_signals to see how a specific signal has moved over time, its cross-source corroboration, and its lifecycle stage. Ids come from list_signals.
輸入結構描述
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Topic id as returned by list_signals, e.g. \"hn:48910545\"."
}
},
"required": [
"id"
],
"additionalProperties": false
}🟢list_entities(category, limit)
Trending entities (products, companies, libraries, technologies) ranked by cross-source momentum. An entity aggregates every post, repo and release mentioning it across ten developer and builder communities — one row per trend rather than per post. Prefer this over list_signals when the user asks about trends or technologies; use list_signals for individual posts.
輸入結構描述
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"ai",
"devtools",
"security",
"web",
"data",
"crypto",
"hardware",
"business",
"science",
"other"
],
"description": "Restrict to one category. Omit for all categories."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 200,
"description": "How many entities to return (default 50, max 200)."
}
},
"required": [],
"additionalProperties": false
}🟢get_entity(name)
Full detail for one entity by name (e.g. "kubernetes"): current composite score, complete score history, which communities are talking about it, and the live member items (evidence) behind the score. Names come from list_entities.
輸入結構描述
{
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "Entity name as returned by list_entities, e.g. \"kubernetes\"."
}
},
"required": [
"name"
],
"additionalProperties": false
}社群
證據