search-web

FetchSERP

by fetchserp

FetchSERP delivers advanced keyword research and SEO analysis by integrating with Google Keyword Planner and top search

Integrates with FetchSERP API to provide SEO analysis, SERP data retrieval, web scraping, keyword research, backlink analysis, and domain intelligence across Google, Bing, Yahoo, and DuckDuckGo search engines.

github stars

0

Supports 4 major search enginesComprehensive SEO toolkit in one service

best for

  • / SEO professionals tracking keyword rankings
  • / Digital marketers analyzing competitor strategies
  • / Content creators researching search trends
  • / Agencies providing SEO reporting to clients

capabilities

  • / Retrieve search engine results from multiple providers
  • / Analyze keyword rankings and search performance
  • / Extract backlink data for domains
  • / Scrape web pages for SEO analysis
  • / Research competitor keywords and rankings
  • / Monitor SERP positions over time

what it does

Retrieves search engine results and performs SEO analysis across Google, Bing, Yahoo, and DuckDuckGo. Provides SERP data, keyword research, and backlink analysis through the FetchSERP API.

about

FetchSERP is an official MCP server published by fetchserp that provides AI assistants with tools and capabilities via the Model Context Protocol. FetchSERP delivers advanced keyword research and SEO analysis by integrating with Google Keyword Planner and top search It is categorized under search web.

how to install

You can install FetchSERP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

FetchSERP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

FetchSERP MCP Server

A Model Context Protocol (MCP) server that exposes the FetchSERP API for SEO, SERP analysis, web scraping, and keyword research.

Features

This MCP server provides access to all FetchSERP API endpoints:

SEO & Analysis

  • Domain Analysis: Get backlinks, domain info (DNS, WHOIS, SSL, tech stack)
  • Keyword Research: Search volume, suggestions, long-tail keyword generation
  • SEO Analysis: Comprehensive webpage SEO analysis
  • AI Analysis: AI-powered webpage analysis with custom prompts
  • Moz Integration: Domain authority and Moz metrics

SERP & Search

  • Search Results: Get SERP results from Google, Bing, Yahoo, DuckDuckGo
  • AI Overview: Google's AI overview with JavaScript rendering
  • Enhanced Results: SERP with HTML or text content
  • Ranking Check: Domain ranking for specific keywords
  • Indexation Check: Verify if pages are indexed

Web Scraping

  • Basic Scraping: Scrape webpages without JavaScript
  • JS Scraping: Execute custom JavaScript on pages
  • Proxy Scraping: Scrape with country-specific proxies
  • Domain Scraping: Scrape multiple pages from a domain

User Management

  • Account Info: Check API credits and user information

Installation

No installation required! This MCP server runs directly from GitHub using npx.

Get your FetchSERP API token: Sign up at https://www.fetchserp.com to get your API token. New users get 250 free credits to get started!

Usage

Transport Modes

This MCP server supports two transport modes:

npx mode (Option 1):

  • ✅ Zero installation required
  • ✅ Always gets latest version from GitHub
  • ✅ Perfect for individual users
  • ✅ Runs locally with Claude Desktop

HTTP mode (Option 2):

  • ✅ Remote deployment capability
  • ✅ Multiple clients can connect
  • ✅ Better for enterprise/team environments
  • ✅ Centralized server management
  • ✅ Single API key authentication (FetchSERP token)
  • ✅ Scalable architecture

Configuration

Option 1: Using npx (Local/Remote GitHub) Add this server to your MCP client configuration. For example, in Claude Desktop using github registry :

{
  "mcpServers": {
    "fetchserp": {
      "command": "npx",
      "args": [
        "github:FetchSERP-LLC/fetchserp-mcp-server-node"
      ],
      "env": {
        "FETCHSERP_API_TOKEN": "your_fetchserp_api_token_here"
      }
    }
  }
}

or using npm registry

{
  "mcpServers": {
    "fetchserp": {
      "command": "npx",
      "args": ["fetchserp-mcp-server"],
      "env": {
        "FETCHSERP_API_TOKEN": "your_fetchserp_api_token_here"
      }
    }
  }
}

Option 2: Claude API with MCP Server For programmatic usage with Claude's API and your deployed MCP server:

const claudeRequest = {
  model: "claude-sonnet-4-20250514",
  max_tokens: 1024,
  messages: [
    {
      role: "user", 
      content: question
    }
  ],
  // MCP Server Configuration
  mcp_servers: [
    {
      type: "url",
      url: "https://www.fetchserp.com/sse",
      name: "fetchserp",
      authorization_token: FETCHSERP_API_TOKEN,
      tool_configuration: {
        enabled: true
      }
    }
  ]
};

const response = await httpRequest('https://api.anthropic.com/v1/messages', {
  method: 'POST',
  headers: {
    'x-api-key': CLAUDE_API_KEY,
    'anthropic-version': '2023-06-01',
    'anthropic-beta': 'mcp-client-2025-04-04',
    'content-type': 'application/json'
  }
}, JSON.stringify(claudeRequest));

Option 3: OpenAI API with MCP Server For programmatic usage with OpenAI's API and your deployed MCP server:

const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

const res = await openai.responses.create({
  model: "gpt-4.1",
  tools: [
    {
      type: "mcp",
      server_label: "fetchserp",
      server_url: "https://www.fetchserp.com/sse",
      headers: {
        Authorization: `Bearer ${FETCHSERP_API_TOKEN}`
      }
    }
  ],
  input: question
});

console.log(res.choices[0].message);

Available Tools

Domain & SEO Analysis

get_backlinks

Get backlinks for a domain

  • domain (required): Target domain
  • search_engine: google, bing, yahoo, duckduckgo (default: google)
  • country: Country code (default: us)
  • pages_number: Pages to search 1-30 (default: 15)

get_domain_info

Get comprehensive domain information

  • domain (required): Target domain

get_domain_emails

Extract emails from a domain

  • domain (required): Target domain
  • search_engine: Search engine (default: google)
  • country: Country code (default: us)
  • pages_number: Pages to search 1-30 (default: 1)

get_playwright_mcp

Use GPT-4.1 to remote control a browser via a Playwright MCP server

  • prompt (required): The prompt to use for remote control of the browser

This endpoint uses GPT-4.1 to remote control a browser via a Playwright MCP server.

get_webpage_seo_analysis

Comprehensive SEO analysis of a webpage

  • url (required): URL to analyze

get_webpage_ai_analysis

AI-powered webpage analysis

  • url (required): URL to analyze
  • prompt (required): Analysis prompt

generate_wordpress_content

Generate WordPress content using AI with customizable prompts and models

  • user_prompt (required): The user prompt
  • system_prompt (required): The system prompt
  • ai_model: The AI model (default: gpt-4.1-nano)

Generates SEO-optimized WordPress content including title and content (800-1500 words) with keyword targeting in the first 100 words.

generate_social_content

Generate social media content using AI with customizable prompts and models

  • user_prompt (required): The user prompt
  • system_prompt (required): The system prompt
  • ai_model: The AI model (default: gpt-4.1-nano)

Generates engaging social media content optimized for various platforms and audiences.

get_moz_analysis

Get Moz domain authority and metrics

  • domain (required): Target domain

Keyword Research

get_keywords_search_volume

Get search volume for keywords

  • keywords (required): Array of keywords
  • country: Country code

get_keywords_suggestions

Get keyword suggestions

  • url: URL to analyze (optional if keywords provided)
  • keywords: Array of seed keywords (optional if url provided)
  • country: Country code

get_long_tail_keywords

Generate long-tail keywords

  • keyword (required): Seed keyword
  • search_intent: informational, commercial, transactional, navigational (default: informational)
  • count: Number to generate 1-500 (default: 10)

SERP & Search

get_serp_results

Get search engine results

  • query (required): Search query
  • search_engine: google, bing, yahoo, duckduckgo (default: google)
  • country: Country code (default: us)
  • pages_number: Pages to search 1-30 (default: 1)

get_serp_html

Get SERP results with HTML content

  • Same parameters as get_serp_results

get_serp_text

Get SERP results with text content

  • Same parameters as get_serp_results

get_serp_ai_mode

Get SERP with AI Overview and AI Mode response

  • query (required): Search query
  • country: Country code (default: us)

Returns AI overview and AI mode response for the query. Less reliable than the 2-step process but returns results in under 30 seconds.

check_page_indexation

Check if domain is indexed for keyword

  • domain (required): Target domain
  • keyword (required): Search keyword

get_domain_ranking

Get domain ranking for keyword

  • keyword (required): Search keyword
  • domain (required): Target domain
  • search_engine: Search engine (default: google)
  • country: Country code (default: us)
  • pages_number: Pages to search 1-30 (default: 10)

Web Scraping

scrape_webpage

Scrape webpage without JavaScript

  • url (required): URL to scrape

scrape_domain

Scrape multiple pages from domain

  • domain (required): Target domain
  • max_pages: Maximum pages to scrape, up to 200 (default: 10)

scrape_webpage_js

Scrape webpage with custom JavaScript

  • url (required): URL to scrape
  • js_script (required): JavaScript code to execute

scrape_webpage_js_proxy

Scrape webpage with JavaScript and proxy

  • url (required): URL to scrape
  • country (required): Proxy country
  • js_script (required): JavaScript code to execute

User Management

get_user_info

Get user information and API credits

  • No parameters required

API Token

You need a FetchSERP API token to use this server.

Getting your API token:

  1. Sign up at https://www.fetchserp.com
  2. New users automatically receive 250 free credits to get started
  3. Your API token will be available in your dashboard

Set the token as an environment variable:

export FETCHSERP_API_TOKEN="your_token_here"

Error Handling

The server includes comprehensive error handling:

  • Missing API token validation
  • API response error handling
  • Input validation
  • Proper MCP error responses

Docker deploy

docker build --platform=linux/amd64 -t us-east4-docker.pkg.dev/fetchserp-474019/fetchserp/mcp-server-node:latest --push .

npm login npm publish --access public

FAQ

What is the FetchSERP MCP server?
FetchSERP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for FetchSERP?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    FetchSERP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated FetchSERP against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: FetchSERP is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    FetchSERP reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend FetchSERP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: FetchSERP surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    FetchSERP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, FetchSERP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired FetchSERP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    FetchSERP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.