MCP Web Search
M

MCP Web Search

An MCP server that provides Google search and web content viewing functions, with advanced anti-bot detection and avoidance capabilities, supporting custom search, caching, and browser instance pool management.
2 points
9.1K

What is the Web Search MCP Server?

The Web Search MCP Server is a powerful tool that allows users to perform custom searches via Google and view web content. It has advanced anti-bot detection capabilities to ensure that users are not identified as automated programs when accessing websites.

How to use the Web Search MCP Server?

First, install the required dependencies and run the server. Then, configure the server settings in Claude Desktop to start using the search and web viewing functions.

Applicable Scenarios

Suitable for scenarios where users need to frequently access multiple websites, perform complex search tasks, or bypass bot detection.

Main Features

Custom Google Search
Supports advanced filtering options, such as specifying trusted domains and excluded domains, and limiting the number of search results.
Markdown Conversion
Converts web content into Markdown format for easy reading and editing.
Rate Limiting and Caching
Optimizes request frequency and caches results to reduce repeated loading time.
Anti-bot Detection
Integrates rebrowser-puppeteer to simulate real browser behavior to avoid detection.
Advantages
Supports Google advanced search functions.
Has powerful anti-bot detection capabilities.
Built-in caching mechanism improves efficiency.
Easy to integrate into existing systems.
Limitations
Requires installation of specific dependencies (e.g., Bun runtime).
Some advanced functions may have certain requirements for hardware performance.
Not all websites are fully compatible with anti-bot detection technology.

How to Use

Install Dependencies
Run the following command to install project dependencies: `bun install`.
Build the Project
Build TypeScript files to generate an executable version: `bun run build`.
Start the Server
Run the server in development mode: `bun --watch run dev`.
Configure Claude Desktop
Add server settings to the Claude Desktop configuration file.

Usage Examples

Search Keyword Example
Search for relevant information about artificial intelligence.
View URL Example
View the specific content of a website.

Frequently Asked Questions

How to solve the problem that the server cannot start?
Why are my search results inaccurate?
How to update the MCP server settings in Claude Desktop?

Related Resources

Official Documentation
Detailed server usage guide.
GitHub Repository
Source code and example code.
Support Forum
A communication platform with other users.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "web-search": {
      "command": "bun",
      "args": [
        "run",
        "/ABSOLUTE/PATH/TO/web_search_mcp/dist/index.js"
      ],
      "env": {
        "GOOGLE_API_KEY": "your_api_key",
        "GOOGLE_SEARCH_ENGINE_ID": "your_search_engine_id",
        "MAX_CONCURRENT_BROWSERS": "3",
        "BROWSER_TIMEOUT": "30000",
        "RATE_LIMIT_WINDOW": "60000",
        "RATE_LIMIT_MAX_REQUESTS": "60",
        "SEARCH_CACHE_TTL": "3600",
        "VIEW_URL_CACHE_TTL": "7200",
        "MAX_CACHE_ITEMS": "1000",
        "BROWSER_POOL_MIN": "1",
        "BROWSER_POOL_MAX": "5",
        "BROWSER_POOL_IDLE_TIMEOUT": "30000",
        "REBROWSER_PATCHES_RUNTIME_FIX_MODE": "addBinding",
        "REBROWSER_PATCHES_SOURCE_URL": "jquery.min.js",
        "REBROWSER_PATCHES_UTILITY_WORLD_NAME": "util",
        "REBROWSER_PATCHES_DEBUG": "0",
        "BROWSER_COOKIES_PATH": "C:\\path\\to\\cookies.json",
        "LOG_LEVEL": "info",
        "NO_COLOR": "0",
        "BUN_FORCE_COLOR": "1",
        "FORCE_COLOR": "1"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.9K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.7K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
7.3K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.1K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
22.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
59.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
41.6K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
85.2K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase