
Scrapeless Mcp Server
io.github.scrapeless-aiPublished by GitHub account scrapeless-aiv0.6.4Updated Oct 24, 2026
Web search, browser automation, scraping, crawling and CAPTCHA solving for AI agents.
Overview
Scrapeless MCP server lets an assistant search Google, run a cloud browser, scrape and crawl pages, and create AI scraper tasks through Scrapeless.
- What you can do
- Search Google and read Google Trends data for keywords and interest over time. Drive a cloud browser session: navigate, click, type, press keys, scroll, wait, take screenshots, and read page HTML or visible text. Scrape a single URL as HTML, Markdown, or a screenshot. Start, poll, and cancel asynchronous crawl jobs that follow links across a site. Create AI Scraper tasks for engines such as ChatGPT, Gemini, Perplexity, Copilot, Grok, or Google AI Mode.
- When to use it
- Useful when an assistant needs live web data, JavaScript-heavy pages, search results, or multi-page crawling, and you want managed browser sessions and anti-blocking handled by a hosted service rather than local tooling.
- Requirements
- A Scrapeless account and API key, passed as SCRAPELESS_API_KEY for the local npm package (npx scrapeless-mcp-server) or as the x-api-token header for the hosted endpoint. Network access to the Scrapeless service. Optional browser profile and session timeout settings via environment variables or headers.
Installation
In SourceWeft
- Open Scrapeless Mcp Server in the dashboard and add it to a workspace.
- Connect x-api-token credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.scrapeless-ai%2Fscrapeless-mcp-server/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"scrapeless": {
"type": "http",
"url": "https://api.scrapeless.com/mcp",
"headers": {
"x-api-token": "<YOUR_API_KEY>"
}
}
}
}README
[preview]
Scrapeless MCP Server
Welcome to the official Scrapeless Model Context Protocol (MCP) Server — a powerful integration layer that empowers LLMs, AI Agents, and AI applications to interact with the web in real time.
Built on the open MCP standard, Scrapeless MCP Server seamlessly connects models like ChatGPT, Claude, and tools like Cursor and Windsurf to a wide range of external capabilities, including:
- Google services integration (Search, Trends)
- Browser automation for page-level navigation and interaction
- Scrape dynamic, JS-heavy sites—export as HTML, Markdown, or screenshots
- Crawl entire websites by following links and capture each page in multiple formats
- AI Scraper Create an AI Scraper task for ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, Google AI Overview, Grok, or Alexa
Whether you're building an AI research assistant, a coding copilot, or autonomous web agents, this server provides the dynamic context and real-world data your workflows need—without getting blocked.
Usage Examples
- Automated Web Interaction and Data Extraction with Claude
Using Scrapeless MCP Browser, Claude can perform complex tasks such as web navigation, clicking, scrolling, and scraping through conversational commands, with real-time preview of web interaction results via live sessions.
[preview]
- Bypassing Cloudflare to Retrieve Target Page Content
Using the Scrapeless MCP Browser service, the Cloudflare page is automatically accessed, and after the process is completed, the page content is extracted and returned in Markdown format.
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- Extracting Dynamically Rendered Page Content and Writing to File
Using the Scrapeless MCP Universal API, the JavaScript-rendered content of the target page above is scraped, exported in Markdown format, and finally written to a local file named text.md.
[preview]
- Automated SERP Scraping
Using the Scrapeless MCP Server, query the keyword “web scraping” on Google Search, retrieve the first 10 search results (including title, link, and summary), and write the content to the file named serp.text.
[preview]
Here are some additional examples of how to use these servers:
Setup Guide
- Get Scrapeless Key
- Log in to the Scrapeless Dashboard(Free trial available)
- Then click "Setting" on the left -> select "API Key Management" -> click "Create API Key". Finally, click the API Key you created to copy it.
[preview]
- Configure Your MCP Client
Scrapeless MCP Server supports both Stdio and Streamable HTTP transport modes.
🖥️ Stdio (Local Execution)
🌐 Streamable HTTP (Hosted API Mode)
Advanced Options
Customize browser session behavior with optional parameters. These can be set via environment variables (for Stdio) or HTTP headers (for Streamable HTTP):
Integration with Claude Desktop
- Open Claude Desktop
- Navigate to:
Settings→Tools→MCP Servers - Click "Add MCP Server"
- Paste either the
StdioorStreamable HTTPconfig above - Save and enable the server
- Claude will now be able to issue web queries, extract content, and interact with pages using Scrapeless
Integration with Cursor IDE
- Open Cursor
- Press
Cmd + Shift + Pand search for:Configure MCP Servers - Add the Scrapeless MCP config using the format above
- Save the file and restart Cursor (if needed)
- Now you can ask Cursor things like:
"Search StackOverflow for a solution to this error""Scrape the HTML from this page"
- And it will use Scrapeless in the background.
Supported MCP Tools
Security Best Practices
When using Scrapeless MCP Server with LLMs (like ChatGPT, Claude, or Cursor), it's critical to handle all scraped or extracted web content with care. Web data is untrusted by default, and improper handling may expose your application to prompt injection or other security vulnerabilities.
✅ Recommended Practices
- Never pass raw scraped content directly into LLM prompts. Raw HTML, JavaScript, or user-generated text may contain hidden injection payloads.
- Sanitize and validate all extracted content. Strip or escape potentially harmful tags and scripts before using content in downstream logic or AI models.
- Prefer structured extraction to free-form text. Use tools like
scrape_html,scrape_markdown, or targetedbrowser_get_textwith known-safe selectors to extract only the content you trust. - Apply domain or selector whitelisting when scraping dynamically generated pages, to restrict data flow to known and trusted sources.
- Log and monitor all outbound requests made via browser or scraping tools, especially if you're handling sensitive data, tokens, or internal network access.
🚫 Avoid
- Injecting scraped HTML directly into prompts
- Letting users specify arbitrary URLs or CSS selectors without validation
- Storing unfiltered scraped content for future prompt usage
Community
Contact Us
For questions, suggestions, or collaboration inquiries, feel free to contact us via:
- Email: [email protected]
- Official Website: https://www.scrapeless.com
- Community Forum: https://discord.gg/Np4CAHxB9a
Source: README.md at commit c5e0964
Tools
0Version history
1- v0.6.4LatestSep 16, 2026
Score
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