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
基本情報
All-in-One SEO & Web Intelligence Toolkit API
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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