Analyze Google Trends interest, comparisons, related queries, and trending searches.
This MCP tool has very limited published material, but the known facts indicate an open-source Google Trends query tool listed in an official registry, with no clear high-risk red flags. The main caution is that it executes locally as an MCP server, and its functionality likely involves outbound access to Google Trends data sources, while missing documentation limits visibility into details.
The material explicitly states that no keys or environment variables are required. There is no indication that users must provide account credentials, API tokens, or local sensitive authentication material, so credential exposure and abuse risk appears low.
Although no remote host is declared in the metadata, the tool’s stated purpose is to fetch Google Trends metrics, related queries, and trending searches, which by function likely requires outbound requests to relevant external services. The documentation does not disclose specific endpoints, transmitted content, or minimization behavior, so users should assume query contents may be sent to a third-party service.
The system flags this tool as executes-code, meaning it runs an MCP server process or related code locally. This is a normal capability for this class of tool; the available material does not show requests for unusual system privileges or execution behavior beyond its stated 'trends query' functionality.
The public material does not specify which local files, caches, or log locations it may read or write, so visibility into data access scope is limited. Based on the description, its core function appears to be processing user-supplied query parameters, and there is no clear evidence that it needs broad local data access or system modifications, but it should still be run with least privilege.
Positive factors include listing in the official registry, an auditable open-source repository, and updates within the last year. Points to watch are the nearly absent README, no declared license, and very low community adoption (0 stars), which reduce contextual auditability and ecosystem validation; however, based on the available facts, these support a caution rating rather than a high-risk one.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.purahmanian/google-trends-mcp" MCP server from askskill: Run: claude mcp add 'io-github-purahmanian-google-trends-mcp' -- npx -y google-trends-mcp
Use Google Trends to compare search interest for "iPhone," "Samsung Galaxy," and "Xiaomi" in the United States over the past 12 months, and summarize peak periods and overall trends.
A time-series comparison of the three keywords with key peak periods and a brief summary.
Find related queries and fastest-rising associated searches for "electric vehicle," then organize them into a keyword list for content planning.
A list of top and rising related queries plus topic ideas for content planning.
Retrieve today's trending searches and group them by category to help me quickly understand current public interests.
A list of today's trending searches with a brief grouping by topic or category.
Analyze Google Trends interest by region to guide ads and service decisions.
Access Google Search trends, historical series, and live trending searches for insight.
Analyze Google trend data, search interest shifts, and growth signals.
Access Google Trends data to compare keywords and analyze regional search interest.
Get YouTube trend and search-interest data to guide content and market decisions.
Aggregate cross-platform trend data to spot topics and guide decisions.