checkpoint-security-mcp-servers
by ngardiner
This project provides open-source implementations of Anthropic's Model Context Protocol (MCP) servers for Check Point security products. It enables AI agents to interact with Check Point platforms for enhanced automation and autonomous response.
Last updated: N/A
What is checkpoint-security-mcp-servers?
This project is a collection of open-source Model Context Protocol (MCP) servers designed to expose the capabilities of Check Point security products (like firewalls and endpoint security) to AI agents. It allows AI applications to interact with Check Point systems through a standardized protocol, enabling advanced automation and autonomous response.
How to use checkpoint-security-mcp-servers?
To use these MCP servers, clone the repository, set up a virtual environment, install dependencies, configure Check Point API access, and run the desired server script (e.g., python src/firewall/server.py). Then, connect an MCP-compatible AI application to the running server via standard I/O.
Key features of checkpoint-security-mcp-servers
Standardized MCP interface for Check Point products
Enables AI-driven security automation
Supports Check Point Firewall and Harmony Endpoint (in development)
Provides Tools and Resources for AI agents to interact with Check Point systems
Open-source and community-driven
Use cases of checkpoint-security-mcp-servers
Automated threat response based on AI analysis
AI-powered security policy management
Intelligent log analysis and anomaly detection
Autonomous endpoint isolation and remediation
FAQ from checkpoint-security-mcp-servers
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open standard developed by Anthropic that provides a standardized way for AI applications to discover and interact with external tools and data sources.
What Check Point products are supported?
What Check Point products are supported?
Currently, the project focuses on Check Point Firewall, with Harmony Endpoint support planned for future development.
What are Tools and Resources in the context of MCP?
What are Tools and Resources in the context of MCP?
Tools are actions that AI agents can take within the connected system, while Resources are information that AI agents can access.
How do I contribute to this project?
How do I contribute to this project?
Fork the repository, create a new branch for your feature or bug fix, make your changes, and submit a pull request.
Is this project officially supported by Check Point?
Is this project officially supported by Check Point?
No, this is an independent community project and is not officially affiliated with or endorsed by Check Point Software Technologies.