npx -y @smithery/cli install @mnhlt/WebSearch-MCP --client claude

npm install -g websearch-mcp

npx websearch-mcp

# Configure API URL
API_URL=https://crawler.example.com npx websearch-mcp

# Configure maximum search results
MAX_SEARCH_RESULT=10 npx websearch-mcp

# Configure both
API_URL=https://crawler.example.com MAX_SEARCH_RESULT=10 npx websearch-mcp

version: '3.8'

services:
  crawler:
    image: laituanmanh/websearch-crawler:latest
    container_name: websearch-api
    restart: unless-stopped
    ports:
      - "3001:3001"
    environment:
      - NODE_ENV=production
      - PORT=3001
      - LOG_LEVEL=info
      - FLARESOLVERR_URL=http://flaresolverr:8191/v1
    depends_on:
      - flaresolverr
    volumes:
      - crawler_storage:/app/storage

  flaresolverr:
    image: 21hsmw/flaresolverr:nodriver
    container_name: flaresolverr
    restart: unless-stopped
    environment:
      - LOG_LEVEL=info
      - TZ=UTC

volumes:
  crawler_storage:

version: '3.8'

services:
  crawler:
    image: laituanmanh/websearch-crawler:latest
    container_name: websearch-api
    platform: "linux/amd64"
    restart: unless-stopped
    ports:
      - "3001:3001"
    environment:
      - NODE_ENV=production
      - PORT=3001
      - LOG_LEVEL=info
      - FLARESOLVERR_URL=http://flaresolverr:8191/v1
    depends_on:
      - flaresolverr
    volumes:
      - crawler_storage:/app/storage

  flaresolverr:
    image: 21hsmw/flaresolverr:nodriver
    platform: "linux/arm64"
    container_name: flaresolverr
    restart: unless-stopped
    environment:
      - LOG_LEVEL=info
      - TZ=UTC

volumes:
  crawler_storage:

docker-compose up -d

docker-compose ps

curl http://localhost:3001/health

{
  "status": "ok",
  "details": {
    "status": "ok",
    "flaresolverr": true,
    "google": true,
    "message": null
  }
}

curl -X POST http://localhost:3001/crawl \
  -H "Content-Type: application/json" \
  -d '{
    "query": "typescript best practices",
    "numResults": 2,
    "language": "en",
    "filters": {
      "excludeDomains": ["youtube.com"],
      "resultType": "all" 
    }
  }'

{
    "mcpServers": {
        "websearch": {
            "command": "npx",
            "args": [
                "websearch-mcp"
            ],
            "environment": {
                "API_URL": "http://localhost:3001",
                "MAX_SEARCH_RESULT": "5" // reduce to save your tokens, increase for wider information gain
            }
        }
    }
}

{
	"mcpServers": {
	  "websearch": {
            "command": "cmd",
            "args": [
				"/c",
				"npx",
                "websearch-mcp"
            ],
            "environment": {
                "API_URL": "http://localhost:3001",
                "MAX_SEARCH_RESULT": "1"
            }
        }
	}
  }

{
  "query": "machine learning trends",
  "results": [
    {
      "title": "Top Machine Learning Trends in 2025",
      "snippet": "The key machine learning trends for 2025 include multimodal AI, generative models, and quantum machine learning applications in enterprise...",
      "url": "https://example.com/machine-learning-trends-2025",
      "siteName": "AI Research Today",
      "byline": "Dr. Jane Smith"
    },
    {
      "title": "The Evolution of Machine Learning: 2020-2025",
      "snippet": "Over the past five years, machine learning has evolved from primarily supervised learning approaches to more sophisticated self-supervised and reinforcement learning paradigms...",
      "url": "https://example.com/ml-evolution",
      "siteName": "Tech Insights",
      "byline": "John Doe"
    }
  ]
}

npm run test-client

API_URL=https://crawler.example.com npm run test-client

import { createMCPClient } from '@modelcontextprotocol/sdk';

// Create an MCP client
const client = createMCPClient({
  transport: { type: 'subprocess', command: 'npx websearch-mcp' }
});

// Execute a web search
const response = await client.request({
  method: 'call_tool',
  params: {
    name: 'web_search',
    arguments: {
      query: 'your search query',
      numResults: 5,
      language: 'en'
    }
  }
});

console.log(response.result);