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Fetchserp MCP Server

@fetchSERP

Repository

Basic information

Category

Developer Tools

Transports

stdio

Author

fetchSERP

Submitted by

fetchSERP

About Fetchserp MCP Server

All-in-One SEO & Web Intelligence Toolkit API

#fetchserp#seo#web-intelligence

Fetchserp MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "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"
      }
    }
  }
}

Fetchserp MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Fetchserp?

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.

How to use Fetchserp?

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.

Key features of Fetchserp

  • Domain analysis: backlinks, DNS, WHOIS, SSL, tech stack
  • Keyword research: search volume, suggestions, long-tail generation
  • SERP retrieval from Google, Bing, Yahoo, DuckDuckGo
  • AI-powered webpage analysis with custom prompts
  • Web scraping with and without JavaScript, plus proxy support
  • User management: check API credits and account info

Use cases of Fetchserp

  • Analyze domain authority and backlink profiles for competitors
  • Get keyword suggestions and search volume for content planning
  • Monitor search engine rankings and page indexation for SEO audits
  • Scrape webpages with or without JavaScript for data extraction
  • Retrieve AI overviews and enhanced SERP results for research

Frequently asked questions

1

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.

2

How can I run the Fetchserp MCP server?

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.

3

Does Fetchserp require any installation?

No. When using `npx`, the server runs directly from GitHub without manual installation. Docker mode also requires no local setup beyond the Docker runtime.

4

What tools does Fetchserp provide?

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.

5

Can I use Fetchserp with Claude or OpenAI?

Yes. The README includes example configurations for both the Claude API (with `mcp_servers`) and the OpenAI API (with `tools` of type `mcp`).

Comments

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