A Model Context Protocol (MCP) server built with FastMCP to provide AI models with structured technical data about rootkit techniques and families.
View on GitHub ↗A Model Context Protocol (MCP) server built with FastMCP to feed your AI model technical data about rootkit techniques, rootkit and bootkit families from the Rootkit Techniques Matrix. Consists of two files: server.py and matrixdata.json. The latter stores data from the matrix in a format understandable for the methods in server.py.
It's compatible with Open WebUI and Claude Windows app. Since I don't have access to Claude, I tested it on a locally deployed model Ollama + Qwen3:8b. But compatibility with Claude was added as well. I don't use Linux, so everything was tested on Windows.
The server itself doesn't need configuration. You simply run it as python server.py. If you are running a local model setup (Ollama + Open WebUI), follow these steps to connect Open WebUI to your MCP server (Ollama app itself can't be directly connected to the MCP server).
1. Install Ollama app and choose (download) qwen3:8b model.
2. Now we need to install the Open WebUI framework and connect it to the Ollama service. But since Open WebUI is only compatible with Python 3.11, we need to install Docker Desktop for Windows to create a virtual environment for it. Once installed, run the following command to create the environment.
3. Run the container or make sure it's running.
5. Now, we can setup the server. Go to http://localhost:3000/. Navigate to: Your profile icon - Admin panel - Settings - Integration - External Tool Servers - Add connection. Type: MCP (Streamable HTTP) Name: rkmatrix ID: rkmatrix URL: http://host.docker.internal:8000/mcp Auth: None
From the project README.
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