Postman remains the fastest way to prove auth, headers, and JSON bodies before an MCP client or LangChain wrapper ever sees the wire. Trends MCP uses a single POST shape for get_trends, get_growth, and get_top_trends, which maps cleanly to a small collection of saved requests.
Search results for API testing and MCP wiring often surface the same pattern: validate the boring parts early. Headers, TLS, clock skew, and JSON typos cause more failed demos than model reasoning does. A Postman collection gives reviewers a reproducible click path through the REST reference before anyone pastes config into Cursor or ChatGPT.
The first request should call get_trends with a conservative weekly series for a familiar keyword on google search. The second should call get_growth with two windows so reviewers see both direction and metadata fields. The third should call get_top_trends with mode set to top_trends and a feed type copied exactly from the docs, for example Google Trends, because feed labels are case sensitive. After those pass, duplication into headless trends API jobs is mostly copy and paste.
Export the JSON body and a redacted response snippet into the repo wiki or OpenAPI notes. That gives data science and backend engineers the same anchor point without sharing live keys in chat. For Python services, the next hop is usually the examples on Python trends API. For multi-step agents, see API orchestration patterns for trend data.
Capture the HTTP status, error code string when present, and the exact source and keyword strings. Many 400 class failures trace to a mistyped source label or a Reddit keyword that still includes a prefix. Replaying the same body in Postman isolates whether the failure lives in the gateway, the automation wrapper, or the model prompt.
Create or rotate keys on trendsmcp.ai/account, then connect MCP hosts using the transport notes in Trends MCP for Cursor or LangChain agents with live trend tools. The free tier on try the trends API free is enough to finish a serious QA pass if calls stay deliberate.
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