Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
News article mention volume trends for any topic. Free key at trendsapi.ai
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http news-volume https://news-volume.api.trendsapi.ai/mcp --header 'Authorization: your-value'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"news-volume": {
"url": "https://news-volume.api.trendsapi.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"news-volume": {
"type": "http",
"url": "https://news-volume.api.trendsapi.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
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The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 16 days ago.
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In the same category: Spec Driven Development, Remote Desktop Commander, SuperCollider
Servers in the same category from other makers, sorted by stars.
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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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.