Binalyze AIR
A Node.js server implementing Model Context Protocol (MCP) that enables natural language interaction with Binalyze AIR's digital forensics and incident response capabilities.
What is Binalyze AIR?
Binalyze AIR is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to node.js server implementing model context protocol (mcp) that enables natural language interaction with binalyze air's digital forensics and incident response capabilities.
A Node.js server implementing Model Context Protocol (MCP) that enables natural language interaction with Binalyze AIR's digital forensics and incident response capabilities.
This server falls under the Security category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Node.js server implementing Model Context Protocol (MCP) t
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx binalyze-air-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Binalyze AIR
What is Binalyze AIR?
Binalyze AIR is a Model Context Protocol (MCP) server that node.js server implementing model context protocol (mcp) that enables natural language interaction with binalyze air's digital forensics and incident response capabilities. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Binalyze AIR?
Follow the installation instructions on the Binalyze AIR GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Binalyze AIR?
Binalyze AIR works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Binalyze AIR free to use?
Yes, Binalyze AIR is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Binalyze AIR in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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