Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
News article mention volume trends for any topic. Free key at trendsapi.ai
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http news-volume https://news-volume.api.trendsapi.ai/mcp --header 'Authorization: your-value'运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"news-volume": {
"url": "https://news-volume.api.trendsapi.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"news-volume": {
"type": "http",
"url": "https://news-volume.api.trendsapi.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 必填 HTTP header这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过域名 trendsapi.ai 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:Authorization
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.2)于16天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Claude Checkpoint MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
MCP server that checkpoints Claude Code session context to survive crashes and token limits
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
News mention volume via the Trends API. Media monitoring without scraping news sites.
Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.
pip install news-trends-api
export TRENDSAPI_KEY=your_key
Python 3.9+. Same key as the HTTP API.
from news_trends_api import TrendsAPI
client = TrendsAPI() # TRENDSAPI_KEY
Keyword helpers default to source: "news volume". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.
| Method | REST mode | Returns |
|---|---|---|
get_time_series(keyword, source=, data_mode=) | get_time_series | list[TrendsDataPoint] |
get_growth(keyword, percent_growth=, source=, data_mode=) | get_growth | GetGrowthResponse |
get_live(limit=, offset=, category=) | get_top_trends | GetTopTrendsResponse |
get_top_trends(type=, ...) | get_top_trends | GetTopTrendsResponse |
source is lowercase (news volume). type is exact (Google News Top News). Mixing them is a 400.
from news_trends_api import TrendsAPI
client = TrendsAPI() # TRENDSAPI_KEY
series = client.get_time_series("federal reserve") print(series[-1].date, series[-1].value)
growth = client.get_growth("federal reserve", percent_growth=["3M", "12M"]) print(growth.results[0].growth, growth.results[0].direction)
hot = client.get_live(limit=10) print(hot.data) # [[1, "..."], ...]
points = client.get_time_series("federal reserve")
Each point:
| Field | Always | Meaning |
|---|---|---|
date | yes | YYYY-MM-DD |
value | yes | 0-100 index for this series |
keyword | yes | Echo |
volume | no | Absolute volume when available |
source or datatype | no | Pipeline label |
Python returns list[TrendsDataPoint]. Use .date and .value, not ["date"]. JS returns the same fields as object properties.
g = client.get_growth("federal reserve", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)
percent_growth default: ["12M"]. Presets: 7D 14D 30D 1M 2M 3M 6M 9M 12M/1Y 18M 24M/2Y 36M/3Y 48M 60M/5Y MTD QTD YTD. Custom: {"name": "Launch", "recent": "2024-06-01", "baseline": "2024-01-01"}.
| Field | Meaning |
|---|---|
search_term | Keyword |
data_source | Source |
results | One object per window (period, growth, direction, dates, values) |
metadata | Counts / success flag |
Several windows still count as one request. Python: growth.results[0].growth. JS: growth.results[0].growth.
hot = client.get_live(limit=10)
| Field | Meaning |
|---|---|
as_of_ts | Snapshot time |
type | Feed name |
limit, offset, count | Pagination |
data | [rank, label] rows |
Python: hot.data. JS: hot.data. Optional offset= and category= (Amazon Best Sellers by Category, Top Websites only).
import asyncio
from news_trends_api import AsyncTrendsAPI
async def main(): c = AsyncTrendsAPI() return await asyncio.gather( c.get_time_series("federal reserve"), c.get_time_series("federal reserve", source="google search"), )
asyncio.run(main())
Each 200 is one billed request.
from dataclasses import asdict
import pandas as pd from news_trends_api import TrendsAPI
df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("federal reserve")) df["date"] = pd.to_datetime(df["date"]) print(df.set_index("date")["value"].resample("ME").mean().tail())
npm install news-trends-api
Node 18+, Deno, Bun, Workers. Same API key. Field tables above apply.
| Method | REST mode | Returns |
|---|---|---|
getTimeSeries(keyword, { source, data_mode }) | get_time_series | weekly points |
getGrowth(keyword, { percent_growth, source, data_mode }) | get_growth | growth object |
getLive({ limit, offset, category }) | get_top_trends | live feed |
getTopTrends({ type, ... }) | get_top_trends | live feed |
import { TrendsAPI } from "news-trends-api";
const client = new TrendsAPI({ apiKey: process.env.TRENDSAPI_KEY! }); const series = await client.getTimeSeries("federal reserve"); console.log(series.at(-1)?.date, series.at(-1)?.value);
const growth = await client.getGrowth("federal reserve", { percent_growth: ["3M", "12M"], }); console.log(growth.results[0].growth, growth.results[0].direction);
const live = await client.getLive({ limit: 10 }); console.log(live.data); // [[1, "..."], ...]
| Field | Value |
|---|---|
| Endpoint | POST https://api.trendsapi.ai/api |
| Auth | Authorization: Bearer $TRENDSAPI_KEY |
| History | source: news volume with get_time_series or get_growth |
| Keyword | Any phrase, e.g. federal reserve |
Live type | Google News Top News |
curl -sS -X POST https://api.trendsapi.ai/api \
-H "Authorization: Bearer $TRENDSAPI_KEY" \ -H "Content-Type: application/json" \ --max-time 60 \ -d '{"mode":"get_time_series","source":"news volume","keyword":"federal reserve"}'
source: news sentiment is tone, not mention count.| HTTP | Client |
|---|---|
| 200 | Parsed payload. Python dataclasses / JS typed objects |
| 400 | Raises. Fix source or type spelling |
| 401 | Raises. Check TRENDSAPI_KEY |
| 404 | Raises. No series for that keyword. Do not retry |
| 429 | Raises. Quota |
| 5xx | Client retries, then raises |
The HTTP body field is a JSON string. SDKs decode it. Raw curl must parse body a second time.
Site: https://trendsapi.ai/trends/news-trends.
MIT. See LICENSE.