CS

Chronicle SecOps MCP Server

This is an MCP (Model Context Protocol) server for interacting with Google's Chronicle Security Operations API.

Created by emeryray20022025/03/29
0.0 (0 reviews)

What is Chronicle SecOps MCP Server?

What is Chronicle SecOps MCP Server? Chronicle SecOps MCP Server is an MCP (Model Context Protocol) server designed for interacting with Google's Chronicle Security Operations API, enabling users to manage and analyze security events effectively. How to use Chronicle SecOps MCP Server? To use the MCP server, install Claude Desktop, configure the claude_desktop_config.json file with your specific paths and Google Chronicle credentials, and run the server using Python. Key features of Chronicle SecOps MCP Server? Search for security events with customizable queries. Retrieve security alerts from Chronicle. Lookup information about entities (IP, domain, hash). List security detection rules from Chronicle. Get Indicators of Compromise (IoCs) matches. Use cases of Chronicle SecOps MCP Server? Monitoring and analyzing security events in real-time. Automating security alert retrieval for incident response. Conducting entity lookups for threat intelligence. Managing security detection rules for proactive defense. FAQ from Chronicle SecOps MCP Server? What are the requirements to run the MCP server? You need Python 3.11+, a Google Cloud account with Chronicle Security Operations enabled, and proper authentication configured. How do I authenticate with Google Chronicle? You can set up Application Default Credentials (ADC) or use the gcloud auth application-default login command to authenticate. Is there an example of using the MCP server? Yes, you can refer to example.py for a complete example of using the MCP server.

As an MCP (Model Context Protocol) server, Chronicle SecOps MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use Chronicle SecOps MCP Server

To use the MCP server, install Claude Desktop, configure the claude_desktop_config.json file with your specific paths and Google Chronicle credentials, and run the server using Python. Key features of Chronicle SecOps MCP Server? Search for security events with customizable queries. Retrieve security alerts from Chronicle. Lookup information about entities (IP, domain, hash). List security detection rules from Chronicle. Get Indicators of Compromise (IoCs) matches. Use cases of Chronicle SecOps MCP Server? Monitoring and analyzing security events in real-time. Automating security alert retrieval for incident response. Conducting entity lookups for threat intelligence. Managing security detection rules for proactive defense. FAQ from Chronicle SecOps MCP Server? What are the requirements to run the MCP server? You need Python 3.11+, a Google Cloud account with Chronicle Security Operations enabled, and proper authentication configured. How do I authenticate with Google Chronicle? You can set up Application Default Credentials (ADC) or use the gcloud auth application-default login command to authenticate. Is there an example of using the MCP server? Yes, you can refer to example.py for a complete example of using the MCP server.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like Chronicle SecOps MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Chronicle SecOps MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.