ai.trendsapi/news-sentiment (MCP Server)

This MCP server exposes “News sentiment score trends for any topic over time.” It provides sentiment history and growth via the Trends API, referenced as “News sentiment API” in the readme excerpt. The server is associated with Trends API and requires a free key from trendsapi.ai.

🛠️ Key Features

News sentiment score trends “for any topic over time”
Sentiment history and growth (via Trends API)
Tooling count: 3

🚀 Use Cases

Brand monitoring and media monitoring using topic sentiment over time
Market research and finance-related trend-data analysis
Time-series sentiment analysis without scraping outlets

⚡ Developer Benefits

REST API / JSON-API oriented integration (listed topics)
Fits MCP tooling: model-context-protocol, mcp-server, and mcp
Supported ecosystems include Python and JavaScript

⚠️ Limitations

Requires a free API key from trendsapi.ai (see “Key: trendsapi.ai/#get-key”)
Documented excerpt does not describe any additional endpoints beyond the sentiment trends context

News sentiment API

News tone over time via the Trends API. Sentiment history and growth without scraping outlets.

PyPI Python

Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.

Authentication

bash

pip install trendsapi-news-sentiment
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

python

from trendsapi_news_sentiment import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

Keyword helpers default to source: "news sentiment". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.

Methods

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_top_trends(type=, ...)`	`get_top_trends`	`GetTopTrendsResponse`

source is lowercase (news sentiment). type is exact (Google Trends). Mixing them is a 400.

python

from trendsapi_news_sentiment import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

series = client.get_time_series("nvidia")
print(series[-1].date, series[-1].value)

growth = client.get_growth("nvidia", percent_growth=["3M", "12M"])
print(growth.results[0].growth, growth.results[0].direction)

get_time_series

python

points = client.get_time_series("nvidia")

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.

get_growth

python

g = client.get_growth("nvidia", 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.

Async

python

import asyncio
from trendsapi_news_sentiment import AsyncTrendsAPI

async def main():
    c = AsyncTrendsAPI()
    return await asyncio.gather(
        c.get_time_series("nvidia"),
        c.get_time_series("nvidia", source="google search"),
    )

asyncio.run(main())

Each 200 is one billed request.

Pandas

python

from dataclasses import asdict
import pandas as pd
from trendsapi_news_sentiment import TrendsAPI

df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("nvidia"))
df["date"] = pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())

Call (curl)

Field	Value
Endpoint	`POST https://api.trendsapi.ai/api`
Auth	`Authorization: Bearer $TRENDSAPI_KEY`
History	`source: news sentiment` with `get_time_series` or `get_growth`
Keyword	Any phrase, e.g. nvidia
Live `type`	n/a

bash

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 sentiment","keyword":"nvidia"}'

Source notes

Negative growth means tone fell vs the prior window, not that the company is negative.
Mention count is news-trends-api (source: news volume).
No per-article labels, no outlet breakdown.

Errors

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-sentiment.

License

MIT. See LICENSE.

source	string	required	One source, or comma-separated sources (e.g. 'amazon, tiktok, youtube'). Valid: 'google search', 'google images', 'google news', 'google shopping', 'youtube', 'wikipedia', 'tiktok', 'reddit', 'amazon', 'news sentiment', 'news volume', 'npm', 'python', 'steam', 'app downloads', 'app rankings'.
keyword	string	required	What to look up. The string format is required by source. Standard sources (google search, google images, google news, google shopping, youtube, wikipedia, tiktok, reddit, amazon, news sentiment, news volume): any name or phrase, e.g. 'nike'. npm: exact npmjs.com package name, case-sensitive. Right: 'react', '@babel/core'. Wrong: 'React', 'React.js'. python: exact PyPI project name. Right: 'pandas', 'requests'. Wrong: 'Pandas'. steam: game display name in plain English, not a Steam App ID. Right: 'Elden Ring', 'CS2'. First Steam store search result wins, so use an unambiguous name. app downloads and app rankings: Android bundle ID only (the id= value on Google Play). Right: 'com.openai.chatgpt', 'com.whatsapp'. Wrong: 'ChatGPT', 'WhatsApp', an iOS App Store ID, or a bundle ID that is not Android. Find it at play.google.com/store/apps/details?id=THIS_PART. If the request includes app downloads or app rankings with other sources, keyword must still be the Android bundle ID.
percent_growth	array	optional	Growth windows. Default if omitted: ['12M']. Each item must be a preset string: '7D', '1W', '14D', '2W', '30D', '1M', '2M', '3M', '6M', '9M', '12M', '1Y', '18M', '24M', '2Y', '36M', '3Y', '48M', '4Y', '60M', '5Y', 'MTD', 'QTD', 'YTD'. Every preset is a two-date comparison.

offset	integer	optional	Rows to skip for pagination. Default 0.
limit	integer	optional	Max rows to return. Default 25, min 1, max 200.
sort	string	optional	How to rank the board. 'rank' (default): current leaders. 'rank_change': biggest climbers vs a prior snapshot. Mover rows include rank, keyword, prev_rank, and rank_change.
window	string	optional	Lookback used only when sort is 'rank_change'. One of '1d', '3d', '7d', '14d', '30d'. Default '30d'. Short windows only work on daily feeds; weekly and monthly feeds return a note pointing to a longer window.
type	string	required	Exactly one live feed. Valid: 'Amazon Best Sellers Top Rated', 'Amazon Best Sellers by Category', 'App Store Top Free', 'App Store Top Paid', 'GitHub', 'Google News Top News', 'Google Play', 'Google Trends', 'Google Trends by Category', 'IMDb MOVIEmeter', 'Open Library Trending Books', 'Reddit Hot Posts', 'Reddit World News', 'Top Websites', 'Spotify Top Podcasts', 'Steam Most Played', 'Substack', 'Substack by Category', 'TikTok Trending Hashtags', 'TikTok Trending Hashtags by Category', 'TikTok Trending Searches', 'Wikipedia Trending', 'X (Twitter) Trending', 'YouTube Trending'.
category	string	optional	Pass this whenever type is 'Amazon Best Sellers by Category', 'Google Trends by Category', 'Top Websites', 'Substack by Category', or 'TikTok Trending Hashtags by Category'. Use the official name. Without it those feeds mix every board. Only omit on a first pull to learn the official names.

News Sentiment API

ai.trendsapi/news-sentiment (MCP Server)

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

trends___get_growth

trends___get_time_series

trends___get_top_trends

News sentiment API

Authentication

Methods

get_time_series

get_growth

Async

Pandas

Call (curl)

Source notes

Errors

License

Install

Remote endpoint

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