CloakBrowser Search MCP
Enables web search via DuckDuckGo as a reliable fallback search engine.
Enables web search via Google with anti-bot-resilient automation and CAPTCHA bypass.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CloakBrowser Search MCPsearch for latest climate change news"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: webmcp
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
Register the MCP server in Settings -> Features -> MCP:
Name:
cloak-search-mcpType:
commandCommand:
npx -y cloak-search-mcp
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/v1Ollama:
http://localhost:11434/v1
Add your local model name (e.g.,
default_modelorllama3) and disable Cursor's default cloud models.
2. Copilot CLI Setup
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 modelBash (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
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 modelBash (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-mcpThen configure your MCP client to run:
Command:
cloak-search-mcp
Local Development Setup
If you want to modify or run the code locally:
Clone the repository.
Install dependencies:
npm installRun the server locally:
node index.js
License
This project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be deployed
Maintenance
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