Search trend data from Google Trends: interest over time, by region, related queries, and what's trending now.
Connects to Google Trends to show search interest patterns over time, geographic breakdowns, related queries, and real-time trending searches. Helps marketers research keywords, spot emerging topics, and understand search behavior by region.
Try asking Muse: "Show me where interest in electric vehicles is growing fastest across US states over the past year."
Source: Found in the official MCP Registry (dev.mory/trendflow) · First listed September 24, 2026
Each bar is one check, every 15 minutes. Green means it answered. Last checked 1 h ago.
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Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://trendflow.mory.dev/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Response time at the last check: 283ms. Worked in 70.3% of checks over 30 days.
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
list_regionsReturns 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 search_topicsResolves 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 conceptget_interest_over_timeGet 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 relativeget_interest_by_regionBreak 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).get_related_queriesFind 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.get_trending_nowLists 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; research_trendReturns 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 research_bulkResearches 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 ahttps://trendflow.mory.dev/mcpNot in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use TrendFlow to help me. It is a free service with an MCP server at https://trendflow.mory.dev/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
At the last check (September 28, 2026, 08:16 UTC) the endpoint was working, answering in 283ms. Over the last 7 days it answered 70.3% of health checks. It is checked every 15 minutes.
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
It exposes 8 tools, including list_regions, search_topics, get_interest_over_time, get_interest_by_region. For example, you could ask Muse: "Show me where interest in electric vehicles is growing fastest across US states over the past year."
This listing was added from public sources (Found in the official MCP Registry (dev.mory/trendflow)). If you build TrendFlow, claim it to correct the details and get your badge.
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