A simple application that extracts your IoCs from garbage input and checks their reputation using multiple services.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-stanfrbd-mcp-cyberbro","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
[](https://mseep.ai/app/stanfrbd-mcp-cyberbro) <h1 align="center">Cyberbro MCP Server</h1> <p align="center"> <img src="https://github.com/user-attachments/assets/5e5a4406-99c1-47f1-a726-de176baa824c" width="90" /><br /> <b><i>A simple application that extracts your IoCs from garbage input and checks their reputation using multiple services.</i></b> <br /> <b>🌐 <a href="https://demo.cyberbro.net/">demo.cyberbro.net</a></b><br /> </p>  A Model Context Protocol (MCP) server for Cyberbro that provides a comprehensive interface for extracting and analyzing Indicators of Compromise (IoCs) from unstructured input, and checking their reputation using multiple threat intelligence services. Checkout [Cyberbro](https://github.com/stanfrbd/cyberbro) repository for more information about the platform. ## Overview This MCP server enables interaction with the Cyberbro platform through the Model Context Protocol. MCP is a standard that allows applications to provide context and functionality to Large Language Models (LLMs) in a secure, standardized way—similar to a web API, but designed for LLM integrations. MCP servers can: - Expose data through **Resources** (to load information into the LLM's context) - Provide functionality through **Tools** (to execute code or perform actions) - Define interaction patterns through **Prompts** (reusable templates for LLM interactions) This server implements the Tools functionality of MCP, offering a suite of tools for extracting IoCs from text, analyzing them, and checking their reputation across various threat intelligence sources. It allows AI systems like Claude to retrieve, analyze, and act on threat intelligence in real-time. ## Features - **Multi-Service Reputation Checks**: Query IPs, domains, hashes, URLs, and Chrome extension IDs ac…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.