CloakBrowser Search MCP

CloakBrowser Search MCP

A local web search MCP server that uses stealth Chromium to bypass CAPTCHAs and bot blocks, supporting Google and DuckDuckGo with automatic fallback.

Category
Visit Server

README

CloakBrowser Search MCP

A 100% local, anti-bot-resilient web search Model Context Protocol (MCP) server utilizing cloakbrowser (a stealth Chromium automation tool).

Features

  • Dual Search Engines: Search Google (default) or DuckDuckGo.
  • Stealth Interaction: Google searches simulate natural human behavior (typing speed, keyboard navigation, and viewport configurations) to completely bypass CAPTCHAs and bot blocks.
  • Self-Healing Fallback: Automatically switches to DuckDuckGo if Google blocks requests, ensuring 100% reliable results.
  • Zero API Keys: Free, local, and private scraping.

Quick Start (No Installation Needed)

You can run this server directly via npx in your MCP client configurations.

(On first execution, cloakbrowser will automatically download its stealth Chromium binary ~535 MB in the background).

1. Cursor Setup

  1. Register the MCP server in Settings -> Features -> MCP:

    • Name: cloak-search-mcp
    • Type: command
    • Command: npx -y cloak-search-mcp
  2. To route Cursor to your local LLM:

    • Go to Settings -> Models.
    • Under OpenAI API Key, enter a dummy key (e.g., sk-no-key-required).
    • Click Configure and set Override Base URL to:
      • Llama.cpp: http://localhost:8080/v1
      • Ollama: http://localhost:11434/v1
    • Add your local model name (e.g., default_model or llama3) and disable Cursor's default cloud models.

2. Copilot CLI Setup

  1. Set environment variables to route Copilot CLI to your local LLM:

    • PowerShell (Llama.cpp):
      $env:COPILOT_PROVIDER_BASE_URL="http://127.0.0.1:8080"
      $env:COPILOT_OFFLINE="true"
      $env:COPILOT_MODEL="default_model"
      
    • PowerShell (Ollama):
      $env:COPILOT_PROVIDER_BASE_URL="http://127.0.0.1:11434/v1"
      $env:COPILOT_OFFLINE="true"
      $env:COPILOT_MODEL="llama3" # Replace with your loaded Ollama model
      
    • Bash (Llama.cpp):
      export COPILOT_PROVIDER_BASE_URL="http://127.0.0.1:8080"
      export COPILOT_OFFLINE="true"
      export COPILOT_MODEL="default_model"
      
    • Bash (Ollama):
      export COPILOT_PROVIDER_BASE_URL="http://127.0.0.1:11434/v1"
      export COPILOT_OFFLINE="true"
      export COPILOT_MODEL="llama3" # Replace with your loaded Ollama model
      
  2. Register the MCP server with Copilot CLI:

    copilot mcp add cloak-search-mcp -- npx -y cloak-search-mcp
    

3. Claude CLI Setup

If running a local Claude CLI session against your local model, set the following environment variables:

  • PowerShell (Llama.cpp):
    $env:ANTHROPIC_BASE_URL="http://127.0.0.1:8080"
    $env:ANTHROPIC_AUTH_TOKEN="sk-no-key-required"
    $env:ANTHROPIC_MODEL="default_model"
    
  • PowerShell (Ollama):
    $env:ANTHROPIC_BASE_URL="http://127.0.0.1:11434/v1"
    $env:ANTHROPIC_AUTH_TOKEN="sk-no-key-required"
    $env:ANTHROPIC_MODEL="llama3" # Replace with your loaded Ollama model
    
  • Bash (Llama.cpp):
    export ANTHROPIC_BASE_URL="http://127.0.0.1:8080"
    export ANTHROPIC_AUTH_TOKEN="sk-no-key-required"
    export ANTHROPIC_MODEL="default_model"
    
  • Bash (Ollama):
    export ANTHROPIC_BASE_URL="http://127.0.0.1:11434/v1"
    export ANTHROPIC_AUTH_TOKEN="sk-no-key-required"
    export ANTHROPIC_MODEL="llama3" # Replace with your loaded Ollama model
    

Global Installation (Alternative)

If you prefer to install it globally on your machine:

npm install -g cloak-search-mcp

Then configure your MCP client to run:

  • Command: cloak-search-mcp

Local Development Setup

If you want to modify or run the code locally:

  1. Clone the repository.
  2. Install dependencies:
    npm install
    
  3. Run the server locally:
    node index.js
    

License

This project is licensed under the MIT License - see the LICENSE file for details.

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured