browser-search-mcp

browser-search-mcp

Enables web search via a real browser for any LLM, bypassing anti-bot measures without API keys.

Category
访问服务器

README

Browser Search MCP

基于真实浏览器的 MCP 搜索引擎服务器 - 让任何支持 MCP 的大模型都能搜索网页内容。 Browser Search MCP - Web search via real browser for any LLM.

Built on the same CDP extension bridge architecture as browser-takeover-bridge.

Why?

Local LLMs (Ollama, etc.) cant search the web. HTTP-based search tools get blocked by anti-bot measures. This project uses a real browser to search - no API keys, no blocking, no fake results.

Quick Start

pip install browser-search-mcp

# Start the MCP server
browser-search-mcp

Then configure in any MCP client:

{
  "mcpServers": {
    "browser-search": {
      "command": "browser-search-mcp"
    }
  }
}

Bridge Integration (browser-takeover extension)

When installed alongside the browser-takeover-bridge extension, browser-search-mcp automatically detects the extension and routes searches through it instead of launching a headless CDP browser.

Why use the bridge?

  • Authenticated sessions - search while logged into services (e.g., intranet, social media, internal tools)
  • Faster startup - no need to launch a new browser; reuses the extension's existing connection
  • Lower resource usage - share one browser session instead of spawning a separate headless instance

How it works:

LLM/Agent -> MCP Client -> browser-search-mcp -> bridge (extension) -> user's browser -> search engine

The bridge check runs automatically at startup. If the extension is not detected, the server falls back to the standard CDP path (launching its own browser). No configuration needed.

Detection: Run web_search_status to see if the bridge is active: json { "bridge": { "available": true, "search_available": true } }

Features

Feature Status Description
Google, Bing, Baidu, DuckDuckGo Yes DOM + JS extraction
Persistent browser session Yes Reuses CDP connection
Result caching Yes LRU with configurable TTL
Config file Yes JSON + env vars
Auto-reconnect Yes Transparent reconnection
browser-takeover bridge Yes Auto-detected extension bridge
CAPTCHA detection Yes Auto fallback on CAPTCHA
Engine fallback Yes Automatic on failure/CAPTCHA
Deep mode Yes Auto-extracts top 2 result content
Pagination Yes Multi-page search support
Time filters Yes hour/day/week/month/year
Engine health check Yes Tracks per-engine availability
Cross-engine dedup Yes Deduplicate multi-engine results
API providers (Tavily/Brave) Yes Faster, API-key based
HTTP API Yes FastAPI + OpenAI compatible
Codex plugin Yes Auto-install as Codex plugin
Fallback parsers Yes Text-based when JS fails
Retry on failure Yes Exponential backoff

MCP Tools

Tool Description
web_search Search a single engine, returns JSON results
web_search_multi Search multiple engines simultaneously
web_search_read_page Read full content of a search result URL
web_search_status Check browser, bridge, and cache status
web_search_discover_browsers Find CDP-enabled browsers

Configuration

Config file: ~/.browser-search-mcp/config.json

Browser Mode (default)

{
  "browser": {
    "name": "edge",
    "headless": false,
    "port": 9222
  },
  "cache": {
    "enabled": true,
    "ttl": 300
  }
}

API Mode (faster, needs API key)

{
  "provider": {
    "name": "tavily",
    "tavily_api_key": "tvly-your-key-here"
  }
}

Environment Variables

Variable Example Description
BROWSER_SEARCH_HEADLESS true Run browser headless
BROWSER_SEARCH_PROVIDER tavily Choose provider: browser/tavily/brave
BROWSER_SEARCH_TAVILY_KEY tvly-xxx Tavily API key
BROWSER_SEARCH_BRAVE_KEY ... Brave Search API key
BROWSER_SEARCH_CACHE_TTL 300 Cache TTL in seconds
BROWSER_SEARCH_DEFAULT_ENGINE bing Default search engine
BROWSER_SEARCH_BROWSER edge Browser executable name

How It Works

LLM/Agent -> MCP Client -> browser-search-mcp -> Browser (CDP) -> Search Engine
                                                    | (optional)
                                          browser-takeover extension
  1. MCP server finds or launches a Chrome/Edge browser with remote debugging
  2. Navigates to the search engine
  3. Extracts structured results via JavaScript DOM parsing
  4. Returns title, url, snippet as JSON
  5. Results cached for 5 minutes by default

Project Structure

browser-search-mcp/
  browser_search_mcp/
    config.py    Configuration via JSON file + env vars
    cdp.py       CDP browser control with persistent sessions
    bridge.py    Browser-takeover extension bridge client
    search.py    Search orchestration with caching and retry
    parsers.py   Text-based search result parsers (fallback)
    bridge_provider.py  Bridge-based search provider (optional, auto-detected)
    providers.py API search providers (Tavily, Brave)
    server.py    FastMCP server with 5 search tools
    http_api.py  HTTP API server (FastAPI + OpenAI-compatible endpoint)
    setup_assistant.py  Prerequisites check
  .codex-plugin/ Codex plugin packaging
  .github/      CI and issue templates
  website/      Promotional website (GitHub Pages)
  README.md, CONTRIBUTING.md, LICENSE, SUPPORT.md

Requirements

  • Python 3.11+
  • Chrome or Edge installed
  • Optional: browser-takeover-bridge extension (for authenticated sessions)

License

MIT

Architecture

flowchart LR
    LLM[LLM / Agent]
    MCP[MCP Client]
    BSM[browser-search-mcp]
    CDP[Chrome/Edge CDP]
    SE[Search Engine]
    BSM --> CDP --> SE
    SE --> BSM --> MCP --> LLM
    style BSM fill:#10b981,color:#fff

Support

If this project helps you, optional support is welcome:

Support on Afdian

Bug reports and contributions are welcome. See CONTRIBUTING.md and SUPPORT.md.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选