google-trends-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| interest_over_timeA | Fetch Google Trends interest scores (0-100) for up to 5 search terms over a time range. Returns a time series with one value per term per data point. Useful for spotting seasonality, growth, or decline in search interest. |
| compare_termsA | Compare 2-5 search terms against each other using Google Trends normalized interest scores. Returns the time series, averages per term, and identifies which term has the highest overall interest. |
| related_queriesA | Get rising and top related search queries for a given term from Google Trends. Rising queries have seen the largest recent growth; top queries have the most overall volume. Useful for discovering adjacent keywords and content ideas. |
| trending_nowA | Get today's daily trending searches for a country from Google Trends. Returns the top trending queries with estimated traffic and linked news articles. |
| interest_by_regionA | Get Google Trends interest scores broken down by region (sub-country or country, depending on the geo parameter). Returns top regions with the highest relative interest for the given term. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: daily trending searches, time series for up to 5 terms, comparison of terms, related queries, and regional breakdown. No overlap or ambiguity.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., trending_now, interest_over_time, compare_terms). No deviation in style.
With 5 tools, the set covers the essential Google Trends functionalities without being excessive. Each tool serves a core purpose, and the count is well-scoped for the domain.
The set covers key features: daily trending, interest over time, comparison, related queries, and regional interest. Minor gaps like real-time trends or category filtering are present but do not break core workflows.