TrendFlow
Google Trends data: interest over time, by region, related queries, and trending now.
| Endpoint | https://trendflow.mory.dev/mcp (streamable-http) |
|---|---|
| Registry version | 0.1.0 |
| Now | 8 tools · grade B (83) · pin ts_9b66976b727b4879cf5daed209a70374 · protocol 2025-06-18 |
| First / last listed | 2026-10-28 05:15 UTC / 2026-10-28 05:15 UTC |
| Grade over time | 2026-10-28: B (83), 8 tools |
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Tools: list_regions search_topics get_interest_over_time get_interest_by_region get_related_queries get_trending_now research_trend research_bulk
list_regions | Returns the geo codes Google Trends accepts. With no argument it lists every country; given a country code it lists that country's sub-regions — US states, German states, UK nations — each as a code and a name.
Any code returned here can be passed as the `region` argument of the other tools. params: country |
search_topics | Resolves a name — a company, product, person, technology, or concept — to its Google Trends topic id (`mid`), with a `type` field that distinguishes same-name entities such as Nike the company from Nike the goddess.
A topic aggregates every spelling and translation of one concept, so it measures considerably more search activity than a literal phrase: the topic for "artificial intelligence" score params: query* |
get_interest_over_time | Get relative search interest for one or more terms over a historical period. Use this when the user asks how popular something is, whether it is rising or falling, or how several things compare — passing multiple keywords compares them on one scale. Values are normalized relative interest (0-100 within the result set), not absolute search volume. params: keywords*, timeframe, region, category, searchProperty |
get_interest_by_region | Break down search interest for one term by geography. Use this when the user asks where something is popular, or wants a regional or city-level comparison. Values are normalized relative interest (0-100 within the result set). params: keyword*, resolution, region, timeframe, category, searchProperty |
get_related_queries | Find the top and rising searches related to a term. Use this for keyword discovery, SEO and content research, and spotting breakout queries. `top` is ranked by volume; `rising` is ranked by growth, where "Breakout" means growth too large to measure. params: keyword*, region, timeframe, category, searchProperty |
get_trending_now | Lists the searches surging right now in a country, for questions about what is spiking without a term being named, and for news and real-time context.
The `backend` parameter selects the source: "rpc" returns around 50 entries with growth percentages and a relative volume index; "rss" returns 10 entries together with the news articles behind each one; "auto" tries rpc and falls back to rss. params: region, backend, limit |
research_trend | Returns a full picture of one term in a single call: interest over time, where it is most searched, and the queries people search alongside it. Suited to open-ended research on a topic rather than one narrow question.
Each section is fetched independently, so a partial result is normal: any section that fails carries an `error` instead of data and the rest still returns. params: keyword*, region |
research_bulk | Researches up to 10 topics in a single call, each with the same full picture as `research_trend`: interest over time, where it is most searched, and related queries. Each topic is looked up on its own scale, so they are not comparable to one another.
Use this when you need data across many topics — a long or rich research pass — instead of one tool call per topic. Each section is fetched independ params: topics*, region |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.