What should I do if I hit a Google Trends 429 rate limit?
The server has built-in 1–3 second random delays and backoff retries. If you still hit limits, reduce call frequency, set an HTTPS proxy, or switch to the `trendspy` provider.
@Eason-Gao3
基本信息
A production-grade Google Trends MCP server for AI workflow integration. Supports batch research of up to 50 keywords with cross-batch normalization, compare up to 5 keywords precisely, async task support, and REST API + GPT Actions. Compatible with 7 major AI clients: Claude Des
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"google-trends": {
"url": "https://easontrendmcp.dpdns.org/mcp",
"headers": {
"Authorization": "Bearer gtmcp_live_your-api-key"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。
点击上方按钮,直接连接服务器端点实时获取工具列表。
Google Trends MCP is a Model Context Protocol server that gives AI assistants structured Google Trends data. It supports batch keyword research (up to 50 keywords per batch), cross-batch normalization for comparability, and production-level SaaS deployment. Built with FastMCP, it works with Claude Desktop, ChatGPT, Cursor, Perplexity, and other major AI clients.
Install Python 3.11+, clone the repo, create a virtual environment, install dependencies, then run python server.py for local stdio mode. For a web service, use --transport streamable-http with host and port. Deploy publicly with Docker Compose. Configure client MCP entries with the endpoint URL and an API key (obtained from the dashboard after Google OAuth login).
compare_keywords, research_keywords, research_keywords_async, get_research_taskThe server has built-in 1–3 second random delays and backoff retries. If you still hit limits, reduce call frequency, set an HTTPS proxy, or switch to the `trendspy` provider.
In stdio mode, `stdout` carries MCP JSON-RPC protocol messages; ordinary text would break the protocol. Logs must be written to `stderr`. Only `--smoke-test` mode allows JSON output to stdout.
`compare_keywords` returns raw Google Trends batch-relative scores for up to 5 keywords. `research_keywords` returns cross-batch normalized estimates using an anchor keyword, suitable for directional research across many keywords.
With 2–4 concurrent threads and random delays, 10 keywords take about 5–10 seconds; 50 keywords take about 15–30 seconds. In-process caching (default 15 minutes) skips network calls for repeated requests.
When `GOOGLE_CLIENT_ID` is not set, the server enters dev mode. Visit `/auth/dev-login` to log in with a virtual account — no Google account needed.
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不止于 CSS
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