Clone the repository and install dependencies:
git clone https://github.com/yourusername/cloudscraper-mcp-server.git
cd cloudscraper-mcp-server
uv syncAdd to Claude Code:
claude mcp add cloudscraper-mcp \
--type stdio \
--command "uv" \
--args "run" "server.py" \
--directory "/path/to/cloudscraper-mcp-server"Add to VSCode / any MCP-compatible IDE:
{
"mcpServers": {
"cloudscraper-mcp": {
"type": "stdio",
"command": "uv",
"args": ["run", "server.py"],
"cwd": "/path/to/cloudscraper-mcp-server"
}
}
}- Cloudflare Bypass — Automatically handles Cloudflare protection so AI agents can reach pages that block standard requests
- Content Cleaning — Converts HTML to clean, LLM-friendly Markdown
- Smart Chunking — Automatically splits large responses into 10k-token chunks with continuation tokens
- Binary Handling — Base64-encodes non-text content so agents can handle images and downloads
- File Export — Save scraped content directly to disk via
scrape_url_to_file - Docker Support — Containerized deployment via DOCKER.md
Three tools are available: scrape_url (returns content as a string), scrape_url_raw (returns content plus response metadata), and scrape_url_to_file (saves content to disk).
| Transport | Best For | Configuration |
|---|---|---|
| stdio | Claude Code, VSCode, Direct AI integration | Default mode, no environment variables needed |
| http | n8n, Web apps, API integrations, Remote access | Requires MCP_TRANSPORT=http |
Run with HTTP transport:
MCP_TRANSPORT=http MCP_HOST=0.0.0.0 MCP_PORT=8000 uv run server.py| Variable | Default | Options | Description |
|---|---|---|---|
MCP_TRANSPORT |
stdio | stdio, http | Transport protocol selection |
MCP_HOST |
0.0.0.0 | Any valid IP | Host binding for HTTP mode |
MCP_PORT |
8000 | Any valid port | Port for HTTP mode |