TrendFlow
Overview
Description from the maker (original English)
Google Trends data: interest over time, by region, related queries, and trending now.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Marketing & social media
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://trendflow.mory.dev/mcpRun this in your terminal
claude mcp add --transport http trendflow https://trendflow.mory.dev/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"trendflow": {
"url": "https://trendflow.mory.dev/mcp"
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"trendflow": {
"type": "http",
"url": "https://trendflow.mory.dev/mcp"
}
}
}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.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://trendflow.mory.dev/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
We have not read this server’s tool list yet; we check endpoints in rotation.
Basic checksi
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 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain mory.dev (the registry checks domain ownership)
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- … Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
- … Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Marketing & social mediai
- More stars than 0% of the other 3610 servers in this category
- Published to the registry more recently than 24% of the other 3610 servers in this category
- Basic checks equal to or better than 100% of the other 3610 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is TrendFlow safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 3 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Trendflow JS
A type-safe JavaScript/TypeScript library for querying and exporting Google Trends data. The JavaScript port of trendflow-py.
📖 Documentation: [trendflow.mory.dev/docs/js](https://trendflow.mory.dev/docs/js) — guides for both libraries, plus a hosted MCP server for ChatGPT, Claude, and Cursor.
- GitHub: https://github.com/dariomory/trendflow-js/
- npm package: https://www.npmjs.com/package/trendflow
- API reference: https://dariomory.github.io/trendflow-js/
- Python sibling: https://pypi.org/project/trendflow-py/
- Created by: [Dario Mory](https://mory.dev) | GitHub https://github.com/dariomory
- Free software: MIT License
Install
npm install trendflow
Requires Node.js 18+ (uses the global fetch). Ships ESM and CommonJS with bundled type declarations.
Usage
import { Client, Region, Timeframe, Resolution, SearchProperty, ExportFormat } from "trendflow";
// Initialize client (optional config) const tf = new Client({ language: "en", timeout: 10_000 });
// --- Const objects for type safety --- // Region.US, Region.GB, Region.DE ... (or any code: "US-CA", "807") // Timeframe.PAST_HOUR ... PAST_5_YEARS, ALL_TIME (or "2023-01-01 2023-06-30") // Resolution.COUNTRY, Resolution.REGION, Resolution.CITY // SearchProperty.WEB, IMAGES, NEWS, YOUTUBE, SHOPPING
// Fetch interest over time const data = await tf.interestOverTime( ["Python", "JavaScript", "Rust"], Timeframe.PAST_YEAR, Region.US, );
console.log(data.keywords); // ["Python", "JavaScript", "Rust"] console.log(data.granularity); // "weekly" console.log(data.points); // TrendPoint[] — { date: Date, scores: Record }
// Regional breakdown (region defaults to Region.US) const regional = await tf.interestByRegion("Python", Resolution.COUNTRY); for (const row of regional.rows) { console.log(row.label, row.value); }
// Trending searches right now (any country code, or omit for worldwide) const trending = await tf.trendingNow(Region.US); for (const item of trending.results) { console.log(item.title, item.growth, item.volume, item.traffic); // "fifa world cup 2026" 3650 6 "+3,650%" }
// Related queries (region defaults to worldwide) const related = await tf.relatedQueries("machine learning", { region: Region.GB }); for (const query of related.top) console.log(query.term, query.value); for (const query of related.rising) console.log(query.term, query.breakout);
// --- Narrowing a query --- // Every query method takes an optional category and search property, and any of them // accepts a custom date range and a sub-region or metro code in place of the named values.
// "jaguar" the car, on YouTube, in California, over the first half of 2023 const jaguar = await tf.interestOverTime(["jaguar"], "2023-01-01 2023-06-30", "US-CA", { category: 47, // Autos & Vehicles — disambiguates without needing a topic id searchProperty: SearchProperty.YOUTUBE, });
// --- Exports --- data.toArray(); // [{ date: Date, Python: 80, ... }] — plain objects, the JS answer to DataFrames data.toJSON(); // same rows with ISO 8601 date strings (also drives JSON.stringify) data.toCSV(); // CSV text
// Node.js only — writes UTF-8 to disk await data.export(ExportFormat.CSV, "trends.csv"); await data.export(ExportFormat.JSON, "trends.json");
Errors
Failed requests throw ResponseError, or TooManyRequestsError (a subclass) on HTTP 429. Both carry .status and the raw .response.
import { TooManyRequestsError } from "trendflow";
try { await tf.interestOverTime(["Python"], Timeframe.PAST_YEAR, Region.US); } catch (error) { if (error instanceof TooManyRequestsError) { // Google is rate-limiting this IP — back off and retry later. } }
Trending backends: RPC and RSS
Google exposes trending searches two ways. They are not interchangeable, so backend lets you pick:
"rpc" (batchexecute) | "rss" (feed) | |
|---|---|---|
| items | 50 | 10 |
| payload | ~2 KB JSON | ~21 KB XML |
| growth % and volume | ✅ | ❌ — buckets like "2000+" |
| news articles | ❌ | ✅ |
window selection | ✅ | ignored by Google |
| worldwide | ✅ | ❌ country only |
const rss = await tf.trendingNow(Region.US, { backend: "rss" });
rss.source; // "rss" rss.results[0].articles; // [{ title: "...", url: "https://...", source: "Buffalo News", picture: "https://..." }]
"auto" (the default) tries the RPC and falls back to the feed. The RPC comes first deliberately: it returns five times the items with real growth figures, so defaulting to RSS would quietly degrade results. Reach for "rss" when you want the articles — that is the one thing the RPC cannot give you — or as a second opinion if the RPC id ever goes stale.
Note that the feed is not a lighter path despite being a feed, and Google ignores hours, sort and count on it: it always returns the same 10 entries.
Topics and search suggestions
Google distinguishes a search term (the literal string) from a topic (the entity, in every spelling and language). suggestions() finds the topic; every query method already accepts one — pass the mid where you would pass a keyword.
const topics = await tf.suggestions("artificial intelligence");
// [{ mid: "/m/0mkz", title: "Artificial intelligence", type: "Professional field" }]
const data = await tf.interestOverTime( [topics[0].mid, "artificial intelligence"], Timeframe.PAST_YEAR, Region.US, ); // { "/m/0mkz": 62, "artificial intelligence": 1 }
That gap is the point: the topic scores 62 where the literal phrase scores 1, because it aggregates every phrasing and translation people actually search.
suggestions() needs no cookie and no proxy — it answers on IPs the widgetdata endpoints reject with 429, same as trendingNow(). type disambiguates same-name entities ("Nike" returns both the company and the goddess) and is null when Google omits it.
Rate limits
Google Trends aggressively rate-limits datacenter and shared IPs, so 429 is common even on your first request of the day. Two things matter:
- User-Agent. Google returns
429to the default agent strings Node HTTP clients send, no matter how few requests you have made. This library sends a browser User-Agent by default for exactly that reason — if you overrideheaders, keep a realistic one. - IP reputation. Once an IP is flagged, every request gets
429regardless of headers. Route through a residential proxy to recover.
Using a proxy pool
Pass a list of proxy URLs and the client rotates through them automatically, moving to the next one whenever a query is refused:
import { Client, Region, Timeframe } from "trendflow";
const tf = new Client({ proxies: [ "http://user:pass@gate.decodo.com:7000", "http://user:pass@gate.decodo.com:7000", ], maxProxyAttempts: 3, // defaults to the pool size, capped at 5 onProxyRotate: ({ attempt, error }) => console.warn(rotated after ${attempt}:, error), });
const data = await tf.interestOverTime(["Python"], Timeframe.PAST_YEAR, Region.US); console.log(tf.currentProxy); // the proxy that answered
Proxy support needs undici, an optional peer dependency — npm install undici. Entries are just URLs, so a pool can mix providers. Repeating one rotating gateway also works: each entry gets its own connection, so it lands on a fresh exit IP.
Rotation happens per query, not per request — this matters. Google binds the NID cookie and the widget token to the IP that requested them, so a single query must complete on one exit IP; sending the follow-up widgetdata call from a different IP earns an instant 429. The pool pins one proxy for the whole query and advances only on failure, re-seeding the cookie jar each time. For the same reason, point the pool at sticky sessions rather than per-request rotating endpoints if your provider offers the choice.
Rotation is skipped for errors a different IP cannot fix, such as a 404 or the UnknownRpcError raised when Google renames a batchexecute RPC id.
Where to get proxies
Residential proxies are what actually clears Google's 429. Verified against this library:
| Provider | Notes | Endpoint format |
|---|---|---|
| Decodo (formerly Smartproxy) | Cheapest entry tier; pay-as-you-go available. Used to verify this library's live tests. | http://user:pass@gate.decodo.com:7000 |
const tf = new Client({
proxies: ["http://user:pass@gate.decodo.com:7000"], });
Ask for sticky sessions when you sign up — per-request rotating endpoints break the cookie/token binding described above. Note that a shared residential pool can be exhausted for Google Trends specifically, in which case even a valid proxy returns 429; that is what maxProxyAttempts is for.
Bringing your own client
For logging, caching, or custom routing, pass a fetch instead (mutually exclusive with proxies — the library will tell you if you pass both):
import { ProxyAgent, fetch as undiciFetch } from "undici";
const agent = new ProxyAgent("http://user:pass@proxy.example.com:7000"); const tf = new Client({ fetch: ((input, init = {}) => undiciFetch(input, { ...init, dispatcher: agent })) as typeof globalThis.fetch, });
Browser / Next.js
Every method except export() works anywhere fetch does, but Google Trends sends no CORS headers — calls from browser JavaScript will be blocked. Use this library server-side (Route Handlers, Server Actions, API routes) and pass results to the client.
MCP server
An MCP server ships alongside the library as trendflow-mcp, so agents can query Google Trends directly. It's a separate package — the library keeps its zero runtime dependencies.
claude mcp add trendflow -- npx -y trendflow-mcp
Six tools (search_topics, get_interest_over_time, get_interest_by_region, get_related_queries, get_trending_now, research_trend) and two resources. See mcp/README.md.
Feature Parity
Current: trendflow-py 0.2.0 · trendflow 0.1.0. Versions are independent; each changelog cross-references the sibling release.
| Feature | Python — trendflow-py | JS — trendflow |
|---|---|---|
| Interest over time | ✅ | ✅ |
| Interest by region | ✅ | ✅ |
| Trending now | ✅ | ✅ |
| Trending growth % and volume | ✅ | ✅ |
| Trending for any country code | ✅ | ✅ |
| Trending news articles (RSS) | ✅ | ✅ |
| Selectable trending backend | ✅ |
Only the beginning is shown; read the rest in the repo