All In One SEO & Web Intelligence Toolkit API
by
Provides access to all FetchSERP API endpoints for SEO analysis, keyword research, SERP retrieval, and web scraping through an MCP server.
All In One SEO & Web Intelligence Toolkit API Overview
What is All In One SEO & Web Intelligence Toolkit API about?
Provides a unified MCP server that exposes the full suite of FetchSERP endpoints, enabling developers and analysts to perform domain and SEO analysis, keyword research, SERP queries, and advanced web scraping—all from a single, easily deployable service.
How to use All In One SEO & Web Intelligence Toolkit API?
- npx (no‑install) mode: Run the server directly from GitHub with
npx github:fetchSERP/fetchserp-mcp-server-node. Set the environment variableFETCHSERP_API_TOKENwith your FetchSERP token. - HTTP mode: Deploy the server (e.g., Docker) and have multiple clients connect via the
/sseendpoint. Authentication is a single API‑key header. - Docker: Pull the image
ghcr.io/fetchserp/fetchserp-mcp-server-node:latestand run with-e FETCHSERP_API_TOKEN=.... Add-p 8000:8000and optionally-e MCP_HTTP_MODE=truefor HTTP mode. - Client integration: Configure Claude or OpenAI requests to include an
mcptool pointing to the server URL and passing the token in theAuthorizationheader.
Key Features
- Domain analysis (backlinks, WHOIS, DNS, SSL, tech stack)
- Keyword research (search volume, suggestions, long‑tail generation)
- Comprehensive SEO and AI‑powered webpage analysis
- Moz domain authority metrics
- SERP retrieval from Google, Bing, Yahoo, DuckDuckGo (raw, HTML, text, AI overview)
- Ranking and indexation checks for domains and keywords
- Basic, JavaScript, proxy, and domain‑wide web scraping
- User management to query API credit balance
- Ready‑to‑use via npx, Docker, or remote HTTP deployment
Use Cases
- SEO agencies automating backlink audits and rank tracking for multiple clients.
- Content marketers generating keyword‑rich blog posts and social media copy with AI prompts.
- Developers building custom search tools that need real‑time SERP data with optional AI summaries.
- Researchers conducting large‑scale domain intelligence (tech stack, WHOIS, SSL) without manual lookups.
- E‑commerce sites monitoring product page indexation and ranking across regions.
FAQ
Q: Do I need to install anything locally? A: No. The npx mode runs the server directly from GitHub without any installation steps.
Q: How is authentication handled?
A: Set the FETCHSERP_API_TOKEN environment variable. For HTTP mode, pass the token as a Bearer token in the Authorization header.
Q: Can I run multiple instances for scaling? A: Yes. Deploy the Docker image behind a load balancer or run multiple HTTP‑mode containers.
Q: What if I need JavaScript rendering for scraping?
A: Use the scrape_webpage_js or scrape_webpage_js_proxy tools, which execute custom JS on the target page.
Q: Is there a free tier? A: New users receive 250 free FetchSERP credits after signing up at https://www.fetchserp.com.
All In One SEO & Web Intelligence Toolkit API's 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/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://mcp.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://mcp.fetchserp.com/sse",
headers: {
Authorization: `Bearer ${FETCHSERP_API_TOKEN}`
}
}
],
input: question
});
console.log(res.choices[0].message);
Option 4: Docker Use the pre-built Docker image from GitHub Container Registry for containerized deployment:
{
"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"
}
}
}
}
Docker Features:
- ✅ Containerized deployment
- ✅ Cross-platform compatibility (ARM64 & AMD64)
- ✅ Isolated environment
- ✅ Easy scaling and deployment
- ✅ Automated builds from GitHub
Manual Docker Usage:
# Pull the latest image
docker pull ghcr.io/fetchserp/fetchserp-mcp-server-node:latest
# Run with environment variable
docker run -i --rm \
-e FETCHSERP_API_TOKEN="your_token_here" \
ghcr.io/fetchserp/fetchserp-mcp-server-node:latest
# Or run in HTTP mode on port 8000
docker run -p 8000:8000 \
-e FETCHSERP_API_TOKEN="your_token_here" \
-e MCP_HTTP_MODE=true \
ghcr.io/fetchserp/fetchserp-mcp-server-node:latest
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:
- Sign up at https://www.fetchserp.com
- New users automatically receive 250 free credits to get started
- 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 olivier86/fetchserp-mcp-server-node:latest --push .
docker build --platform=linux/amd64 -t ghcr.io/fetchserp/mcp-server-node:latest --push .
docker run -p 8000:8000 olivier86/fetchserp-mcp-server-node:latest
To start tunneling
nohup ngrok http 8000 --domain guinea-dominant-jolly.ngrok-free.app > /var/log/ngrok.log 2>&1 &
npm login npm publish --access public
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All In One SEO & Web Intelligence Toolkit API's Information
Configuration
{
"mcpServers": {
"fetchserp": {
"command": "npx",
"args": [
"github:fetchSERP/fetchserp-mcp-server-node"
],
"env": {
"FETCHSERP_API_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}Configure Clients
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