Context7
Up-to-date docs for AI agents
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.
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。
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。
选择你使用的 AI 应用,然后复制设置。
Authorization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
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。
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'claude mcp add olostep -- npx -y olostep-mcp运行前请先填写空着的值。
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"
}
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"olostep": {
"type": "http",
"url": "https://mcp.olostep.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}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。
Authorization 机密 HTTP header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。
服务器要求先登录,才会列出它的工具。
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
注册名称已通过 GitHub 账户 olostep 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 122 毫秒内响应(HTTP 401)
声明支持 OAuth 登录,你的 AI 应用可以带你去登录
尚未检查;我们会在检查端点时读取工具列表
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。
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。
你需要填写:Authorization
两种方式都可以:安装在你的电脑上,或者连接云端版本。
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。
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。
同一分类中有:Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
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.
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.
There are multiple ways to connect to the Olostep MCP Server. Choose the one that best fits your workflow.
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 extensions install https://github.com/olostep/olostep-mcp-server
For other clients, see Client Setup.
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.
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
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
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
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.
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":
olostepcommandenv OLOSTEP_API_KEY=your-api-key npx -y olostep-mcpAdd 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
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" } } } }
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" } } } }
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.
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" } } } }
Inside Copilot CLI, run /mcp add and enter:
olostephttps://mcp.olostep.com/mcpSave 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": ["*"] } } }
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.
Option 1: One-Click Installation (Recommended)
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.
OLOSTEP_API_KEY: Your Olostep API key (required)ORBIT_KEY: An optional key for using Orbit to route requests.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" } }
url_to_scrape: The URL of the website you want to scrape (required)output_format: Choose format (html, markdown, json, or text) - default: markdowncountry: Optional country code (e.g., US, GB, CA) for location-specific scrapingwait_before_scraping: Wait time in milliseconds before scraping (0-10000)parser: Optional parser ID for specialized extraction{
"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}" } ] }
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" } }
query: Search query (required)country: Optional country code for localized results (default: US)只显示了开头部分;其余内容请在仓库中阅读