# TrendFlow Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## TrendFlow

Search trend data from Google Trends: interest over time, by region, related queries, and what's trending now.

- Record: https://musedirectory.ai/connector/trendflow
- Category: Marketing & Ads
- Developer: Dario Mory (https://trendflow.mory.dev/docs/mcp)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 283ms, checked 2026-09-28T08:16:22Z
- Endpoint: https://trendflow.mory.dev/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-24T22:51:16Z)
- Source: Found in the official MCP Registry (dev.mory/trendflow) https://registry.modelcontextprotocol.io/v0/servers?search=dev.mory%2Ftrendflow

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.

Example request: "Show me where interest in electric vehicles is growing fastest across US states over the past year."

How to connect: Not 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.

Tools:
- 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 
- 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
- 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
- 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).
- 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.
- 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; 
- 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 
- 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 a

Screening checks:
- MCP handshake: pass (Answered in 366ms)
- Domain against threat feeds (Cloudflare security DNS): pass (trendflow.mory.dev not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (8 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 2536 days ago)
- AI review of purpose and tool behavior: pass (No concerns)