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SafeLine

by chaitin22.4kGoUpdated 2026-08-19

SafeLine is a self-hosted WAF(Web Application Firewall) / reverse proxy to protect your web apps from attacks and exploits.

Claude Desktop

The SafeLine MCP server enables AI-assisted management and control of SafeLine, a self-hosted web application firewall (WAF) and reverse proxy. SafeLine protects web applications from common attacks including SQL injection, XSS, code injection, SSRF, and path traversal by filtering and monitoring HTTP traffic. The MCP server integration allows developers to configure and manage SafeLine's security features through AI assistants, making it easier to set up rate limiting, bot protection, authentication challenges, and dynamic code encryption. With over 400,000 installations worldwide protecting more than 1 million websites, SafeLine offers production-ready security that can now be managed through natural language interactions.

Key Features

AI-assisted configuration and management of SafeLine WAF through MCP protocol
Protection against web attacks including SQL injection, XSS, command injection, XXE, and SSRF
IP-based rate limiting to defend against DoS attacks and brute-force attempts
Anti-bot challenge system with CAPTCHA to block automated crawlers while allowing legitimate users
Authentication challenges requiring visitor passwords for sensitive endpoints
Dynamic HTML and JavaScript code encryption that changes with each visit
Web access control lists for granular traffic filtering
Real-time traffic monitoring and attack detection with visual dashboards

Use Cases

  • 01Configuring WAF rules through AI chat interfaces instead of manual console navigation
  • 02Quickly deploying reverse proxy protection for web applications using natural language commands
  • 03Managing rate limiting policies across multiple websites through AI-assisted workflows
  • 04Setting up bot protection and CAPTCHA challenges via conversational interactions
  • 05Monitoring security events and analyzing attack patterns with AI help
  • 06Automating common WAF configuration tasks through MCP-enabled AI assistants

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SafeLine — FAQ

What is the SafeLine MCP server?+

The SafeLine MCP server is an integration that enables AI assistants to manage and control SafeLine WAF through the Model Context Protocol. It allows you to configure web application firewall settings, monitor security events, and adjust protection policies using natural language interactions instead of manual console operations.

How do I install the SafeLine MCP server?+

Installation details are available in the mcp_server directory of the SafeLine repository. You'll need to have SafeLine WAF already deployed, then configure the MCP server component to connect your AI assistant to your SafeLine instance.

Which AI clients work with SafeLine MCP server?+

The SafeLine MCP server works with any MCP-compatible client, including Claude Desktop and other applications that support the Model Context Protocol for AI assistant integrations.

Do I need API keys or a SafeLine account?+

You need a running SafeLine WAF instance (self-hosted) to use the MCP server. SafeLine is open-source and free for the community edition, with a PRO edition available for advanced features.

Is the SafeLine MCP server free to use?+

Yes, the SafeLine MCP server is part of the open-source SafeLine project. The community edition of SafeLine WAF is free, while a PRO edition with additional features is available through paid plans.

What are the prerequisites for using SafeLine MCP server?+

You need a deployed SafeLine WAF instance (installed via Docker as described in the SafeLine documentation) and an MCP-compatible AI client. Basic knowledge of web application security concepts is helpful for configuring protection policies effectively.

How do I install SafeLine?+

Open the source repository on GitHub and follow its README. SafeLine is a mcp server — MCP Agents Market links you directly to the official repo.

Is SafeLine free?+

SafeLine is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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