Use cases
Market research, content strategy, SEO, competitive intelligence, and more. One MCP connection gives your AI live trend data for every workflow.
What's Possible
One MCP connection covers every workflow below.
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Connect
MCPIn your AI assistant
Ask Claude, ChatGPT or Cursor about trends in plain language. They fetch the data from Trends MCP for you. No code.
Connect with your Trends MCP account. No API key to copy.
Using Claude Code? Run this in your terminal, then type /mcp in Claude Code to sign in.
claude mcp add --transport http --scope user trends-mcp https://www.trendsmcp.ai/mcpIn Claude, open Settings → Connectors and add a custom connector named Trends MCP. Enter this URL, then connect and sign in.
https://www.trendsmcp.ai/mcpGet your free API key, then add Trends MCP from your account.
In Cursor's MCP settings, add a remote server. Use this URL and the API-key configuration under “API key setup / other AI clients” below.
https://api.trendsmcp.ai/mcpConnect with your Trends MCP account. No API key to copy.
https://www.trendsmcp.ai/mcpWorks in ChatGPT on the web. On Business and Enterprise, a workspace admin can turn custom servers off.
Create a plugin named Trends MCP, use this URL for the connection, and select OAuth authentication.
https://www.trendsmcp.ai/mcpGet your free API key, then add Trends MCP from your account.
In the Command Palette, choose MCP: Add Server, then HTTP. For API-key authentication, use the configuration in the setup guide.
https://api.trendsmcp.ai/mcpOnce connected, paste this into your AI and check that it uses Trends MCP to fetch results.
Two addresses, same data. Clients that sign in (Claude, ChatGPT, Claude Code) use https://www.trendsmcp.ai/mcp. Clients that send an API key (Cursor, VS Code, others) use https://api.trendsmcp.ai/mcp with the config below.
{"mcpServers": {"trends-mcp": {"url": "https://api.trendsmcp.ai/mcp","headers": {"Authorization": "Bearer YOUR_API_KEY"}}}}
APIIn your own code
Send requests from Python, JavaScript or any HTTP tool with your API key, and get JSON back.
import requestsresponse = requests.post("https://api.trendsmcp.ai/api",headers={"Authorization": "Bearer YOUR_API_KEY"},json={"mode": "","source": ,"keyword": "artificial intelligence","window": []"custom": {"recent": , "baseline": }"type": ,"category": ,"sort": ,"window": ,"limit": 25})print(response.json())
In action
Watch Claude turn a question into a trend analysis.
Recorded in Claude using TrendsMCP.
See It In Action
Every example below is a single AI prompt. Your AI queries TrendsMCP and gets actionable, cross-platform intelligence.
How It Works
Whether you're doing market research, tracking competitors, or finding content ideas — the workflow is the same.
Use Cases
Browse by workflow, client, or the tool you want to replace.
FAQ