Olostep▌
by olostep
Integrate Olostep with scraperapi to scrape Bing, extract markdown content, and retrieve Google results with advanced ro
Integrates with Olostep's web scraping API to extract webpage content in markdown format, discover website URLs through search queries, and retrieve structured Google search results with country-specific routing and JavaScript rendering support.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Data analysts extracting web content for research
- / Developers building content aggregation systems
- / SEO professionals mapping website structures
- / Researchers gathering data from multiple sources
capabilities
- / Scrape websites to markdown, HTML, or plain text
- / Search Google with structured results
- / Batch scrape up to 10k URLs at once
- / Crawl websites autonomously from a start URL
- / Route requests by country for geo-targeted content
- / Handle JavaScript-heavy sites with configurable wait times
what it does
Provides web scraping and search capabilities through Olostep's API, converting web content to markdown and retrieving structured search results with JavaScript rendering support.
about
Olostep is a community-built MCP server published by olostep that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Olostep with scraperapi to scrape Bing, extract markdown content, and retrieve Google results with advanced ro It is categorized under search web.
how to install
You can install Olostep in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Olostep is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Olostep MCP Server
A Model Context Protocol (MCP) server implementation that integrates with Olostep for web scraping, content extraction, and search capabilities. To set up Olostep MCP Server, you need to have an API key. You can get the API key by signing up on the Olostep website.
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 10k 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
🐳 Running with Docker (Recommended)
The easiest way to run the Olostep MCP server:
docker pull olostep/mcp-server
docker run -i --rm \
-e OLOSTEP_API_KEY="your-api-key" \
olostep/mcp-server
Local-only Docker build (no Docker Hub required)
If the Docker Hub image isn’t available from your environment, you can build and run the image locally from this repository:
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
Local smoke test (initialize + tools/list)
This MCP server uses stdio transport. You can validate it starts and lists tools without needing a working API key:
On Windows (PowerShell):
cd .\olostep-mcp-server
powershell -ExecutionPolicy Bypass -File .\scripts\smoke-test.ps1
To actually call tools successfully, provide OLOSTEP_API_KEY when running the container.
Using Docker with Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"olostep": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "OLOSTEP_API_KEY=YOUR_API_KEY_HERE",
"olostep/mcp-server"
]
}
}
}
Using Docker with Cursor
Add an MCP server with:
- Name:
olostep - Type:
command - Command:
docker run -i --rm -e OLOSTEP_API_KEY=your-api-key olostep/mcp-server
Running with 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
Manual Installation
npm install -g olostep-mcp
Running on 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"
}
}
}
}
Or for a more straightforward way you can install via the Smithery CLI by running the following code in your device terminal
npx -y @smithery/cli install @olostep/olostep-mcp-server --client claude
Running on Windsurf
Add this to your ./codeium/windsurf/model_config.json:
{
"mcpServers": {
"mcp-server-olostep": {
"command": "npx",
"args": ["-y", "olostep-mcp"],
"env": {
"OLOSTEP_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
Running on Cursor
To configure Olostep MCP in Cursor:
- Open Cursor Settings
- Go to Features > MCP Servers
- Click "+ Add New MCP Server"
- Enter the following:
- Name: "olostep-mcp" (or your preferred name)
- Type: "command"
- Command:
env OLOSTEP_API_KEY=your-api-key npx -y olostep-mcp
Replace your-api-key with your Olostep API key.
Running on Metorial
Option 1: One-Click Installation (Recommended)
- Open Metorial dashboard
- Navigate to MCP Servers directory
- Search for "Olostep"
- 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-product"
}
}
Parameters:
url_to_scrape: The URL of the website you want to scrape (required)output_format: Choose format (html,markdown,json, ortext) - 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
Response (example):
{
"content": [
{
"type": "text",
"text": "{
"id": "scrp_...",
"url": "https://example.com",
"markdown_content": "# ...",
"html_content": null,
"json_content": null,
"text_content": null,
"status": "succeeded",
"timestamp": "2025-11-14T12:34:56Z",
"screenshot_hosted_url": null,
"page_metadata": { }
}"
}
]
}
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 parser-based results
3. Answers (AI) (answers)
Search the web and return AI-powered answers in the JSON structure you want, with sources and citations.
{
"name": "answers",
"arguments": {
"task": "Who are the top 5 competitors to Acme Inc. in the EU?",
"json": "Return a list of the top 5 competitors with name and homepage URL"
}
}
Parameters:
task: Question or task to answer using web data (required)json: Optional JSON schema/object or a short description of the desired output shape
Response includes:
answer_id,object,task,result(JSON if provided),sources,created
4. Batch Scrape URLs (batch_scrape_urls)
Scrape up to 10k URLs at the same time. Perfect for large-scale data extraction.
{
"name": "batch_scrape_urls",
"arguments": {
"urls_to_scrape": [
{"url": "https://example.com/a", "custom_id": "a"},
{"url": "https://example.com/b", "custom_id": "b"}
],
"output_format": "markdown",
"country": "US",
"wait_before_scraping": 500,
"parser": "@olostep/amazon-product"
}
}
Response includes:
batch_id,status,total_urls,created_at,formats,country,parser,urls
5. Create Crawl (create_crawl)
Autonomously discover and scrape entire websites by following links.
{
"name": "create_crawl",
"arguments": {
"start_url": "https://example.com/docs",
"max_pages": 25,
"follow_links": true,
"output_format": "markdown",
"country": "US",
"parser": "@olostep/doc-parser"
}
}
Response includes:
crawl_id,object,status,start_url,max_pages,follow_links,created,formats,country,parser
6. Create Map (create_map)
Get all URLs on a website. Extract all URLs for discovery and analysis.
{
"name": "create_map",
"arguments": {
"website_url": "https://example.com",
"search_query": "blog",
"top_n": 200,
"include_url_patterns": ["/blog/**"],
"exclude_url_patterns": ["/admin/**"]
}
}
Response includes:
map_id,object,url,total_urls,urls,search_query,top_n
7. Get Webpage Content (get_webpage_content)
Retrieves webpage content in clean markdown format with support for JavaScript rendering.
{
"name": "get_webpage_content",
"arguments": {
"url_to_scrape": "https://example.com",
"wait_before_scraping": 1000,
"country": "US"
}
}
Parameters:
url_to_scrape: The URL of the webpage to scrape (required)wait_before_scraping: Time to wait in milliseconds before starting the scrape (default: 0)country: Residential country to load the request from (e.g., US, CA, GB) (optional)
Response:
{
"content": [
{
"type": "text",
"text": "# Example Website
This is the markdown content of the webpage..."
}
]
}
8. Get Website URLs (get_website_urls)
Search and retrieve relevant URLs from a website, sorted by relevance to your query.
{
"name": "get_website_urls",
"arguments": {
"url": "https://example.com",
"search_query": "your search term"
}
}
Parameters:
url: The URL of the website to map (required)search_query: The search query to sort URLs by (required)
Response:
{
"content": [
{
"type": "text",
"text": "Fou
---
FAQ
- What is the Olostep MCP server?
- Olostep is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Olostep?
- This profile displays 45 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Web Research & Information Gathering
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Content Monitoring & Alerts
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Data Extraction & Aggregation
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
API-less Integration
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›Understanding of web scraping ethics and robots.txt
- ›Rate limiting awareness to avoid overwhelming target sites
- ›Knowledge of legal restrictions on data collection
Time Estimate
20-40 minutes including configuration and testing
Installation Steps
- 1.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 7.Respect robots.txt and rate limits always
Troubleshooting
- ⚠403 Forbidden: Website blocks bots—respect their wishes, use official API instead
- ⚠Rate limit errors: Slow down requests, add delays between fetches
- ⚠Stale data: Target site changed HTML structure—update selectors
- ⚠Timeout errors: Site is slow or blocking—increase timeout, try different user agent
- ⚠JavaScript-rendered content: Use headless browser MCP servers for dynamic sites
Best Practices▌
✓ Do
- +Check robots.txt and respect crawl rules
- +Rate limit requests: 1-2 requests/second maximum
- +Use official APIs when available instead of scraping
- +Identify your bot with descriptive user agent
- +Cache results to minimize repeated requests
- +Handle errors gracefully with retries and fallbacks
- +Validate extracted data for accuracy
✗ Don't
- −Don't scrape sites that explicitly forbid it (robots.txt, ToS)
- −Don't overwhelm servers with rapid requests—use rate limiting
- −Don't scrape personal data without consent and legal basis
- −Don't ignore copyright on extracted content
- −Don't assume HTML structure is stable—handle changes
- −Don't use scraped data for commercial purposes without permission
💡 Pro Tips
- ★Use CSS selectors or XPath for robust data extraction
- ★Set up monitoring alerts for extraction failures (structure changed)
- ★Implement exponential backoff for retries on failures
- ★Store raw HTML for reprocessing if extraction logic changes
- ★Combine with data analysis tools for insights from extracted data
- ★Consider using official APIs or RSS feeds as more stable alternatives
Technical Details▌
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
- HTTP/HTTPS
- WebSocket (for real-time sites)
- Puppeteer/Playwright (for JavaScript sites)
Compatibility
- Static HTML sites
- JavaScript-rendered SPAs (with headless browser)
- REST APIs
- GraphQL endpoints
When to Use This▌
✓ Use When
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid When
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Integration▌
- →Scheduled monitoring with change detection
- →Multi-source data aggregation pipelines
- →Fallback to web scraping when API rate limits hit
- →Headless browser for JavaScript-heavy sites
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★45 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
I recommend Olostep for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Shikha Mishra· Dec 24, 2024
Olostep is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Zara Jain· Dec 24, 2024
Useful MCP listing: Olostep is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Omar Ramirez· Dec 24, 2024
Olostep has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Hassan Abbas· Dec 20, 2024
Olostep reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Zaid Menon· Dec 4, 2024
We evaluated Olostep against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Zaid Ramirez· Nov 23, 2024
Olostep is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Yash Thakker· Nov 15, 2024
We evaluated Olostep against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chinedu Huang· Nov 15, 2024
Olostep is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Aisha Farah· Nov 15, 2024
According to our notes, Olostep benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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