Web search, browser automation, scraping, crawling and CAPTCHA solving for AI agents.
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io.github.scrapeless-ai/scrapeless-mcp-server is an MCP server that web search, browser automation, scraping, crawling and CAPTCHA solving for AI agents. Its tool list has not been published yet over http and stdio, requires no API key, and scores 87/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"io-github-scrapeless-ai-scrapeless-mcp-server": {
"args": [
"-y",
"scrapeless-mcp-server"
],
"command": "npx"
}
}
}Are you the author?
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Web search, browser automation, scraping, crawling and CAPTCHA solving for AI agents.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y 'scrapeless-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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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:
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.
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.

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.

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.

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.

Here are some additional examples of how to use these servers:
| Example |
|---|
| Search scrapeless by Google search. |
| Find the search interest for "AI" over the last year. |
| Use a browser to visit chatgpt.com, search for "What's the weather like today?", and summarize the results. |
| Scrape the HTML content of scrapeless.com page. |
| Scrape the Markdown content of scrapeless.com page. |
| Get screenshots of scrapeless.com. |

Scrapeless MCP Server supports both Stdio and Streamable HTTP transport modes.
🖥️ Stdio (Local Execution)
{
"mcpServers": {
"Scrapeless MCP
... [View full README on GitHub](https://github.com/scrapeless-ai/scrapeless-mcp-server#readme)