原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Olostep MCP Server

作者:olostep版本 1.0.19i★ –i电脑或云端
注册名称io.github.olostep/olostep-mcp-server

安装

概览

作者提供的说明(英文原文)

Live web search, scraping and crawling API for AI. Get structured, LLM-ready data from any site.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 电脑或云端
  • 传输方式: stdio, Streamable HTTP
  • 分类: 搜索与 AI 记忆
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "olostep": {
      "command": "npx",
      "args": [
        "-y",
        "olostep-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http olostep https://mcp.olostep.com/mcp --header 'Authorization: your-value'

或者在你的电脑上运行

claude mcp add olostep -- npx -y olostep-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "olostep": {
      "url": "https://mcp.olostep.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "olostep": {
      "command": "npx",
      "args": [
        "-y",
        "olostep-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "olostep": {
      "type": "http",
      "url": "https://mcp.olostep.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "olostep": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "olostep-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • Authorization 机密 HTTP header
    Optional. Bearer . Get a key at https://olostep.com/auth. Clients that support OAuth can sign in instead.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

服务器要求先登录,才会列出它的工具。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 olostep 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 122 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7256 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7256 个服务器的 79% 更新
  • 基础检查结果等于或优于此分类中其他 7256 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Olostep MCP Server 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.19)于9天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Olostep MCP Server

Docker Hub npm version License: ISC

Live web search, scraping and crawling API for AI. Get structured, LLM-ready data from any site. Scale to 1M requests with 10 parallel batches at low cost.

Olostep is web data infrastructure for AI agents and enterprise AI workflows. Its APIs provide live web search, scraping and crawling to extract, clean and structure data from the web. This is the official Olostep Model Context Protocol (MCP) server, which gives any MCP-compatible AI agent those capabilities.

Use the hosted server at https://mcp.olostep.com/mcp (sign in with OAuth, or use an API key), or run it locally with an API key from the Olostep website.

Why Olostep

  • Web data infrastructure for developers and enterprises
  • Scales to hundreds of millions to billions of requests per customer per month
  • The most performant, reliable and cost-effective API on the market
  • Used by the fastest-growing AI companies

From extracting data from a handful of URLs to crawling hundreds of millions of pages, Olostep gives developers and AI companies reliable, scalable and highly cost-effective access to clean, structured web data.

Features

  • Scrape website content in HTML, Markdown, JSON or Plain Text (with optional parsers)
  • Parser-based web search with structured results
  • AI Answers with citations and optional JSON-shaped outputs
  • Batch scraping of up to 100k URLs
  • Autonomous site crawling from a start URL
  • Website URL discovery and mapping (with include/exclude filters)
  • Country-specific request routing for geo-targeted content
  • Configurable wait times for JavaScript-heavy websites
  • Comprehensive error handling and reporting
  • Simple API key configuration

Installation

There are multiple ways to connect to the Olostep MCP Server. Choose the one that best fits your workflow.

One-click install

Connect to the hosted server and sign in with your Olostep account (OAuth). No API key or local setup needed.

Or from the terminal:

# Claude Code

claude mcp add --transport http olostep https://mcp.olostep.com/mcp

Gemini CLI (prompts for your API key)

gemini extensions install https://github.com/olostep/olostep-mcp-server

For other clients, see Client Setup.

☁️ Remote Endpoint (Recommended)

The simplest way — no local installation required. Connect directly to our hosted MCP server:

https://mcp.olostep.com/mcp

Authentication is done via a Bearer token in the Authorization header using your Olostep API key. See the Client Setup section below for configuration examples.

🐳 Docker Hub

Pull and run the official Docker image:

docker pull olostep/mcp-server

docker run -i --rm \ -e OLOSTEP_API_KEY="your-api-key" \ olostep/mcp-server

🔧 Local Docker Build

If you prefer to build the image yourself from source:

git clone https://github.com/olostep/olostep-mcp-server.git

cd olostep-mcp-server npm install npm run build docker build -t olostep/mcp-server:local .

docker run -i --rm -e OLOSTEP_API_KEY="your-api-key" olostep/mcp-server:local

📦 npx

Run without any installation using npx:

env OLOSTEP_API_KEY=your-api-key npx -y olostep-mcp

On Windows (PowerShell):

$env:OLOSTEP_API_KEY = "your-api-key"; npx -y olostep-mcp

On Windows (CMD):

set OLOSTEP_API_KEY=your-api-key && npx -y olostep-mcp

Or install globally:

npm install -g olostep-mcp

Client Setup

Gemini CLI

Install the Olostep extension in Gemini CLI (requires an Olostep API key):

gemini extensions install https://github.com/olostep/olostep-mcp-server

Configure your API key through Gemini CLI's sensitive extension settings:

gemini extensions config olostep OLOSTEP_API_KEY

Gemini CLI stores this value in your system keychain. Restart Gemini CLI, then verify the extension and MCP server:

gemini extensions list

gemini mcp list

For authentication errors, configure the key again. For connection errors, restart Gemini CLI and run gemini mcp list. See the official Gemini CLI extensions documentation for details.

Cursor

The easiest way is to use the remote endpoint. Create or edit .cursor/mcp.json in your project root:

{

"mcpServers": { "olostep": { "url": "https://mcp.olostep.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }

Alternative (local): Go to Cursor Settings > Features > MCP Servers, click "+ Add New MCP Server":

  • Name: olostep
  • Type: command
  • Command: env OLOSTEP_API_KEY=your-api-key npx -y olostep-mcp
Claude Desktop

Add this to your claude_desktop_config.json:

{

"mcpServers": { "mcp-server-olostep": { "command": "npx", "args": ["-y", "olostep-mcp"], "env": { "OLOSTEP_API_KEY": "YOUR_API_KEY_HERE" } } } }

Alternative (Docker):

{

"mcpServers": { "olostep": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "OLOSTEP_API_KEY=YOUR_API_KEY_HERE", "olostep/mcp-server" ] } } }

Or install via the Smithery CLI in your device terminal:

npx -y @smithery/cli install @olostep/olostep-mcp-server --client claude
Claude Code

Add the remote endpoint to your Claude Code MCP configuration:

{

"mcpServers": { "olostep": { "url": "https://mcp.olostep.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }

Alternative (local):

{

"mcpServers": { "olostep": { "command": "npx", "args": ["-y", "olostep-mcp"], "env": { "OLOSTEP_API_KEY": "YOUR_API_KEY_HERE" } } } }

Windsurf

Add this to your ./codeium/windsurf/model_config.json:

{

"mcpServers": { "olostep": { "serverUrl": "https://mcp.olostep.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }

Alternative (local):

{

"mcpServers": { "mcp-server-olostep": { "command": "npx", "args": ["-y", "olostep-mcp"], "env": { "OLOSTEP_API_KEY": "YOUR_API_KEY_HERE" } } } }

Cline

Add this to your cline_mcp_settings.json (Cline → MCP Servers → Configure):

{

"mcpServers": { "olostep": { "command": "npx", "args": ["-y", "olostep-mcp"], "env": { "OLOSTEP_API_KEY": "YOUR_API_KEY_HERE" }, "disabled": false, "autoApprove": [] } } }

Cline can also set this up for you: ask it to install the MCP server from this repository, and it follows llms-install.md.

VS Code

Add this to your .vscode/mcp.json:

{

"servers": { "olostep": { "type": "http", "url": "https://mcp.olostep.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }

Alternative (local):

{

"servers": { "olostep": { "type": "stdio", "command": "npx", "args": ["-y", "olostep-mcp"], "env": { "OLOSTEP_API_KEY": "YOUR_API_KEY_HERE" } } } }

GitHub Copilot CLI

Inside Copilot CLI, run /mcp add and enter:

  • Name: olostep
  • Type: HTTP
  • URL: https://mcp.olostep.com/mcp
  • Headers: leave empty

Save with Ctrl+S, then sign in with your Olostep account when prompted (OAuth). Check the connection with /mcp show olostep.

This writes the following to ~/.copilot/mcp-config.json:

{

"mcpServers": { "olostep": { "type": "http", "url": "https://mcp.olostep.com/mcp", "tools": ["*"] } } }

Zed

Add this to your Zed settings.json:

{

"context_servers": { "olostep": { "url": "https://mcp.olostep.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } } } }

Alternative (extension): the Olostep Zed extension runs the local server and asks for your API key in Zed's setup screen.

Metorial

Option 1: One-Click Installation (Recommended)

  1. Open Metorial dashboard
  2. Navigate to MCP Servers directory
  3. Search for "Olostep"
  4. Click "Install" and enter your API key

Option 2: Manual Configuration

Add this to your Metorial MCP server configuration:

{

"olostep": { "command": "npx", "args": ["-y", "olostep-mcp"], "env": { "OLOSTEP_API_KEY": "YOUR_API_KEY_HERE" } } }

The Olostep tools will then be available in your Metorial AI chats.

Configuration

Environment Variables
  • OLOSTEP_API_KEY: Your Olostep API key (required)
  • ORBIT_KEY: An optional key for using Orbit to route requests.

Available Tools

1. Scrape Website (scrape_website)

Extract content from a single URL. Supports multiple formats and JavaScript rendering.

{

"name": "scrape_website", "arguments": { "url_to_scrape": "https://example.com", "output_format": "markdown", "country": "US", "wait_before_scraping": 1000, "parser": "@olostep/amazon-it-product" } }

Parameters:
  • url_to_scrape: The URL of the website you want to scrape (required)
  • output_format: Choose format (html, markdown, json, or text) - default: markdown
  • country: Optional country code (e.g., US, GB, CA) for location-specific scraping
  • wait_before_scraping: Wait time in milliseconds before scraping (0-10000)
  • parser: Optional parser ID for specialized extraction
Response (example):
{

"content": [ { "type": "text", "text": "{\n \"id\": \"scrp_...\",\n \"url\": \"https://example.com\",\n \"markdown_content\": \"# ...\",\n \"html_content\": null,\n \"json_content\": null,\n \"text_content\": null,\n \"status\": \"succeeded\",\n \"timestamp\": \"2025-11-14T12:34:56Z\",\n \"screenshot_hosted_url\": null,\n \"page_metadata\": { }\n}" } ] }

2. Search the Web (search_web)

Search the Web for a given query and get structured results (non-AI, parser-based).

{

"name": "search_web", "arguments": { "query": "your search query", "country": "US" } }

Parameters:
  • query: Search query (required)
  • country: Optional country code for localized results (default: US)
Response:
  • Structured JSON (as text) representing p

只显示了开头部分;其余内容请在仓库中阅读

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