Checkpoint Security MCP Servers

@ngardiner

代码仓库

基本信息

分类

开发工具

许可证

MIT license

传输方式

stdio

作者

ngardiner

关于 Checkpoint Security MCP Servers

Anthropic MCP servers to enable AI agent integration and autonomous defense for Check Point firewalls, endpoint, and more.

Checkpoint Security MCP Servers 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "checkpoint-security-mcp-servers": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Checkpoint Security MCP Servers 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is checkpoint-security-mcp-servers?

checkpoint-security-mcp-servers is an open-source implementation of Anthropic’s Model Context Protocol (MCP) servers designed for Check Point security products. It enables AI agents to interact with Check Point firewalls, endpoint solutions, and logging capabilities through a standardized protocol. This is an independent community project, not officially affiliated with Check Point Software Technologies.

How to use checkpoint-security-mcp-servers?

Clone the repository, set up a Python 3.8+ virtual environment, install dependencies from requirements.txt, configure a Check Point Management API key and manager URL, then run the desired server (e.g., python src/firewall/server.py). Connect an MCP-compatible AI client (like Claude Desktop) over standard I/O to discover and invoke tools such as checkpoint_login_test.

Key features of checkpoint-security-mcp-servers

Exposes Check Point firewall management via MCP Tools
Provides a login test tool for API connectivity verification
Modular structure for Firewall and Harmony Endpoint servers
Uses standard I/O transport for MCP client connections
Designed for autonomous security automation workflows
Community-driven, open-source project under chosen license

Use cases of checkpoint-security-mcp-servers

AI-driven testing of Check Point Management API connectivity
Automating firewall policy checks and rule audits
Enabling autonomous incident response actions on firewalls
Integrating Check Point security with AI assistants like Claude
Prototyping AI-based security orchestration in enterprise environments

常见问题

What dependencies are required to run the server?

Python 3.8+ and a Check Point Management Server with API access are required. Dependencies are listed in `requirements.txt`.

How do I configure API access?

Obtain an API key from your Check Point Management Server and note the manager URL (IP/hostname and port). For initial testing with self-signed certificates you may use `verify=False`, but production environments require proper certificate validation.

What capabilities are currently implemented?

Only the `checkpoint_login_test` Tool in the Firewall MCP server, which tests connectivity to the Management API using an API key.

What future capabilities are planned?

Full firewall tools (e.g., `BlockIPTool`), log retrieval resources, Harmony Endpoint server with endpoint isolation and status checks, and improved error handling.

What transport does the server use?

The server runs over standard I/O (stdin/stdout) and waits for an MCP client connection. No HTTP or WebSocket transport is mentioned.

开发工具分类下的更多 MCP 服务器

Moxie Docs

Jackalope-Dev

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

Vibgrate MCP

Vibgrate

Query your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up

UXMachine

UXMachine measures a web page in a real browser and returns verifiable observations, each with its evidence and its limits. It opens the address on desktop (1280×800) and mobile (390×844) and follows the site's own links

Meticulous

Termany

thinkany-ai

Agent-Native Terminal

174