MCP

Search the Web and Extract Content

Web Search MCP runs no-API-key searches across Bing, Brave, and DuckDuckGo, extracting full page content from results.

Works with bingbraveduckduckgo

90
Spark score
out of 100
Updated 4 months ago
Version 1.0.0
Models

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Why it matters

Integrate comprehensive web search capabilities directly into your applications. This asset connects to multiple search engines and extracts full page content without requiring API keys.

Outcomes

What it gets done

01

Perform multi-engine web searches (Bing, Brave, DuckDuckGo).

02

Extract full content from web pages.

03

Obtain concise search result summaries.

04

Automate web content extraction via direct browser connections.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-web-search-mcp | bash

Capabilities

Tools your agent gets

full-web-search

Comprehensive web search across multiple engines with full page content extraction from results.

get-web-search-summaries

Lightweight search returning only search result snippets without full content extraction.

get-single-web-page-content

Extracts main content from a specific web page URL, removing navigation and ads.

Overview

Web Search MCP Server

What it does

Web Search MCP lets an AI assistant search Bing, Brave, and DuckDuckGo directly with no API keys, extracting full page content from results or a specific URL, using Playwright browsers with automatic fallback and relevance filtering.

How it connects

Use it when an assistant needs live web search and full page content without a paid search API; use the lightweight summaries tool instead when only quick snippets are needed.

Source README

TypeScript MCP server that provides comprehensive web search capabilities through direct connections (no API keys required) with multiple search engines, including Bing, Brave, and DuckDuckGo, as well as full page content extraction.

Installation

From Release

# Download latest release zip from GitHub
# Extract to desired location
npm install
npx playwright install
npm run build

From Source Code

git clone https://github.com/mrkrsl/web-search-mcp.git
cd web-search-mcp
npm install
npx playwright install
npm run build

Configuration

Basic Configuration

{
  "mcpServers": {
    "web-search": {
      "command": "node",
      "args": ["/path/to/extracted/web-search-mcp/dist/index.js"]
    }
  }
}

With Environment Variables

{
  "mcpServers": {
    "web-search": {
      "command": "node",
      "args": ["/path/to/web-search-mcp/dist/index.js"],
      "env": {
        "MAX_CONTENT_LENGTH": "10000",
        "BROWSER_HEADLESS": "true",
        "MAX_BROWSERS": "3",
        "BROWSER_FALLBACK_THRESHOLD": "3"
      }
    }
  }
}

LibreChat Configuration

mcpServers:
  web-search:
    type: stdio
    command: node
    args:
    - /app/mcp/web-search-mcp/dist/index.js
    serverInstructions: true

Available Tools

Tool Description
full-web-search Comprehensive web search that performs searches across multiple engines and extracts full page content from re...
get-web-search-summaries Lightweight search that returns only search result snippets without full content extraction...
get-single-web-page-content Extracts main content from a specific web page by URL, removing navigation, ads, and other non-content elements...

Features

  • Multi-engine search with priority Bing > Brave > DuckDuckGo
  • Full page content extraction from search results
  • Smart request strategy with switching between Playwright browsers and axios requests
  • Parallel processing of multiple pages simultaneously
  • Dedicated browser isolation with automatic cleanup
  • Recovery from HTTP/2 errors with automatic fallback to HTTP/1.1
  • Search result quality validation and relevance checking

Environment Variables

Optional

  • MAX_CONTENT_LENGTH - Maximum content length in characters (default: 500000)
  • DEFAULT_TIMEOUT - Default timeout for requests in milliseconds (default: 6000)
  • MAX_BROWSERS - Maximum number of browser instances to maintain (default: 3)
  • BROWSER_TYPES - Comma-separated list of browser types (default: 'chromium,firefox')
  • BROWSER_FALLBACK_THRESHOLD - Number of axios failures before using browser as fallback (default: 3)
  • ENABLE_RELEVANCE_CHECKING - Enable/disable search result quality validation (default: true)
  • RELEVANCE_THRESHOLD - Minimum quality score for search results (0.0-1.0, default: 0.3)
  • FORCE_MULTI_ENGINE_SEARCH - Try all search engines and return best results (default: false)

Usage Examples

Search 'TypeScript MCP server' and get full content from top-3 results
Get quick summaries for 'latest AI developments' without full page extraction
Extract main content from a specific web page by URL

Notes

Tested with LM Studio and LibreChat. Works best with modern models like Qwen3 and Gemma 3. Requires Node.js 18.0.0+ and npm 8.0.0+. May have compatibility issues with older Llama and Deepseek models.

Discussion

Questions & comments · 0

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