MCP Web Search Server
MCP server for web search with LLM-optimized results and anti-detection mechanisms.
README
MCP Web Search Server
MCP server for web search with results optimized for LLMs and advanced bot-detection evasion.
Features
- Search: DuckDuckGo (no API key), Serper.dev, Bing Web Search
- Search aggregation:
fallbackmode ormergemode that queries multiple providers in parallel, deduplicates and ranks results by query relevance - Content extraction: Headless browser with stealth injection, browser page pool, and plain HTTP text fallback when pages are blocked
- Anti-detection: Dynamic fingerprint generation (viewport, UA, locale, timezone), human-like behavior, proxy support
- LLM formatting: Clean markdown via Turndown, metadata, structured data, links, images, PDF text extraction
- OCR: Extract text from image URLs using
tesseract.js - Broken link checker: Scan a page and report the status of its outgoing links
- Robustness: Retry with exponential backoff, circuit breaker per provider, token-bucket rate limiting, concurrency limiting, in-flight request deduplication, persistent cache, graceful shutdown
- Observability: Structured JSON logging via Pino, latency/error metrics per provider and fetch operation
- Config hot reload:
.envchanges are picked up automatically while the server is running - Multiple transports: stdio (default) or HTTP Streamable MCP transport
Installation
npm install
npm run build
Configuration
Copy .env.example to .env and configure:
# Search providers (optional — DuckDuckGo works without API keys)
SERPER_API_KEY=your_key
BING_API_KEY=your_key
# Search aggregation: "fallback" or "merge"
SEARCH_MERGE_MODE=fallback
# Rate limits (requests per second per provider)
SERPER_RATE_LIMIT=10
BING_RATE_LIMIT=10
DUCKDUCKGO_RATE_LIMIT=1
# Anti-detect
STEALTH_ENABLED=true
HEADLESS=true
PROXY_LIST=http://proxy1:8080,http://proxy2:8080
USER_DATA_DIR=
# Browser page pool size
BROWSER_POOL_SIZE=2
# Limits
MAX_RESULTS=10
MAX_CONTENT_LENGTH=8000
MAX_RESPONSE_SIZE_BYTES=10000000
REQUEST_TIMEOUT=30000
CACHE_TTL=300
# Behavior
MIN_DELAY=500
MAX_DELAY=3000
MAX_CONCURRENT=2
SCROLL_TO_BOTTOM=true
# Fetch fallback when the browser is blocked
TEXT_FETCH_FALLBACK=true
# Optional persistent cache directory
CACHE_DIR=./cache
# Logging
LOG_LEVEL=info
# Transport: stdio or http
MCP_TRANSPORT=stdio
HTTP_HOST=127.0.0.1
HTTP_PORT=8080
# Ethics / safety
ROBOTS_TXT_ENABLED=true
ALLOWED_DOMAINS=
BLOCKED_DOMAINS=
# Debug only — weakens browser security
ALLOW_INSECURE_BROWSER_FLAGS=false
MCP Tools
web_search
Search by query.
{
"query": "latest AI developments 2025",
"num_results": 10,
"provider": "auto",
"recency_days": 7
}
fetch_url
Fetch and clean a page.
{
"url": "https://example.com/article",
"max_length": 8000,
"include_images": false,
"include_links": false
}
search_and_fetch
Search and automatically fetch top-N results.
{
"query": "quantum computing breakthrough",
"num_results": 5,
"fetch_content": true,
"max_content_length": 5000,
"include_images": false,
"include_links": false
}
health_check
Check provider availability, circuit breaker state, and rate limits.
{}
ocr_image
Extract text from an image URL.
{
"url": "https://example.com/screenshot.png",
"language": "eng"
}
check_links
Fetch a page and check its outgoing links.
{
"url": "https://example.com/article",
"max_links": 20
}
Claude Desktop Integration
{
"mcpServers": {
"web-search": {
"command": "node",
"args": ["C:\\Files\\git\\mcp-web-search\\dist\\index.js"],
"env": {
"SERPER_API_KEY": "..."
}
}
}
}
HTTP Transport
Set MCP_TRANSPORT=http and HTTP_PORT=8080, then point an MCP client that supports Streamable HTTP at http://127.0.0.1:8080.
Anti-Detection & Reliability
The server uses a layered approach:
- puppeteer-extra-plugin-stealth — hides automation fingerprints
- Dynamic fingerprint generation — random Chrome on Windows/macOS/Linux with matching timezone
- Browser page pool — reusable Puppeteer pages to reduce launch overhead
- Human-like behavior — random delays, scroll, mouse events
- Proxy support — random proxy selection from
PROXY_LIST - Text fetch fallback — plain HTTP fetch when the headless browser is blocked
- Search result merging & ranking — combine multiple providers and rank by relevance
- Circuit breaker — temporarily disables failing providers
- Token-bucket rate limiting — per-provider rate limiting
- Retry & concurrency limiting — exponential backoff, bounded parallelism, in-flight deduplication
- Graceful shutdown — waits for active requests on SIGINT/SIGTERM
- Robots.txt respect — honors site crawl rules (can be disabled)
Development
npm run dev # watch mode
npm test # run unit tests
npm run build # compile TypeScript
npm run lint # run ESLint
npm run format # format with Prettier
Docker
docker build -t mcp-web-search .
docker run --rm -e SERPER_API_KEY=... mcp-web-search
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.