stanfrbd/mcp-cyberbro

Using MCP is fun with Cyberbro!

48
/ 100
Emerging

This tool helps cybersecurity professionals quickly analyze potential threats. It takes unstructured text, like security alerts or incident reports, extracts key indicators of compromise (IoCs) such as IP addresses or malicious URLs, and then checks their reputation against multiple threat intelligence services. The output is a detailed report on these IoCs, enabling security analysts to understand and respond to threats faster.

Use this if you need to rapidly extract and verify the reputation of Indicators of Compromise from various text sources using AI.

Not ideal if you prefer manual analysis or do not integrate Large Language Models (LLMs) into your threat intelligence workflow.

cybersecurity threat-intelligence incident-response security-operations IOC-analysis
No Package No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 15 / 25
Community 17 / 25

How are scores calculated?

Stars

19

Forks

9

Language

Python

License

MIT

Last pushed

Jan 27, 2026

Commits (30d)

0

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