ORZ MCP
Provides web search capabilities across multiple engines and webpage content fetching to simplified Markdown. It enables AI assistants to access real-time internet information and extract text from specific URLs.
README
ORZ MCP
一个提供 web_search 和 web_fetch 能力的 MCP (Model Context Protocol) 服务器。
让你的 AI 助手(Claude、Cursor、OpenCode 等)能够搜索互联网和抓取网页内容。
功能
web_search
同时查询 Brave、搜狗、DuckDuckGo 三个搜索引擎,自动合并去重、过滤广告。
- 入参:
query(搜索关键词)、num_results(返回数量,默认 8) - 返回:
{ url, title, summary }[]
web_fetch
抓取指定 URL 的网页内容,默认简化为 Markdown 格式。
- 入参:
url、max_char_size(最大字符数,默认 50000)、simplify(是否简化,默认 true) - 返回: 纯文本字符串(Markdown 格式)
- 内置 10 秒超时
两种使用方式(二选一)
ORZ MCP 提供 本地 stdio 版 和 远程 server 版 两种模式,功能完全一致,根据你的需求选择其中一种即可。
| 本地 stdio 版 | 远程 server 版 | |
|---|---|---|
| 运行方式 | 通过 npx 本地启动 | 远程 HTTP 服务 |
| 适用场景 | 需要代理访问海外搜索引擎 | 开箱即用,无需本地环境 |
| 代理支持 | 支持 --proxy 参数 |
不支持(服务端已部署在海外) |
| 依赖 | Node.js >= 18 | 无 |
方式一:本地 stdio 版(通过 npx 运行)
无需安装,直接通过 npx 运行。适合需要配置代理的用户。
在你的 MCP 客户端配置中添加:
不需要代理:
{
"mcpServers": {
"orz": {
"type": "stdio",
"command": "npx",
"args": ["-y", "orz-mcp"]
}
}
}
需要代理(国内用户):
{
"mcpServers": {
"orz": {
"type": "stdio",
"command": "npx",
"args": ["-y", "orz-mcp", "--proxy", "http://127.0.0.1:7890"]
}
}
}
将 http://127.0.0.1:7890 替换为你的代理地址。
方式二:远程 server 版(直接连接)
无需本地安装任何东西,直接连接远程服务。
{
"mcpServers": {
"orz": {
"type": "http",
"url": "https://orz.xiaogenban.deno.net/mcp"
}
}
}
配置文件位置
不同的 MCP 客户端配置文件位置不同:
- Claude Desktop:
~/Library/Application Support/Claude/claude_desktop_config.json(macOS) - Cursor: Settings > MCP Servers
- OpenCode:
.opencode/config.json或通过/mcp命令添加
项目结构
orz-mcp/
├── client.mjs # 本地 stdio 版 (Node.js)
├── server.ts # 远程 server 版 (Deno, Streamable HTTP)
├── server_test.ts # 测试文件
├── package.json # npm 包配置
└── deno.json # Deno 配置
开发
# 启动远程 server 版(本地开发)
deno task start
# 运行测试
deno test --allow-read --allow-net --allow-env server_test.ts
# 启动本地 stdio 版
node client.mjs
node client.mjs --proxy http://127.0.0.1:7890
node client.mjs --help
License
MIT
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.