How do I get an API token for Fetchserp?
Sign up at [https://www.fetchserp.com](https://www.fetchserp.com); new users automatically receive 250 free credits. Your API token is available in your dashboard.
@fetchSERP
基本信息
All-in-One SEO & Web Intelligence Toolkit API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"fetchserp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"FETCHSERP_API_TOKEN",
"ghcr.io/fetchserp/fetchserp-mcp-server-node:latest"
],
"env": {
"FETCHSERP_API_TOKEN": "your_fetchserp_api_token_here"
}
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Fetchserp is a Model Context Protocol (MCP) server that exposes the FetchSERP API for SEO, SERP analysis, web scraping, and keyword research. It is designed for developers and SEO professionals who need programmatic access to search engine data and domain insights.
No installation is required; Fetchserp runs directly from GitHub using npx. Configure the server in your MCP client (e.g., Claude Desktop) by setting the FETCHSERP_API_TOKEN environment variable. Alternatively, use HTTP mode for remote deployments or run the pre-built Docker image. Detailed configuration examples for npx, Claude API, OpenAI API, and Docker are provided in the README.
Sign up at [https://www.fetchserp.com](https://www.fetchserp.com); new users automatically receive 250 free credits. Your API token is available in your dashboard.
You have three options: run locally with `npx` (zero installation), deploy in HTTP mode for remote access, or use the Docker image from GitHub Container Registry.
No. When using `npx`, the server runs directly from GitHub without manual installation. Docker mode also requires no local setup beyond the Docker runtime.
It offers tools for domain analysis, keyword research, SERP retrieval, AI and SEO analysis, web scraping (with and without JavaScript), proxy scraping, and user info.
Yes. The README includes example configurations for both the Claude API (with `mcp_servers`) and the OpenAI API (with `tools` of type `mcp`).

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