Libvirt Mcp
What is Libvirt Mcp
libvirt-mcp is an experimental MCP server designed for integration with Libvirt, enabling users to manage and interact with virtualized environments using the MCP framework.
Use cases
Use cases for libvirt-mcp include deploying machine learning models in virtualized environments, testing applications in isolated settings, and managing resources in cloud infrastructures.
How to use
To use libvirt-mcp, first install mcp-cli and ollama, then set up the necessary Python bindings and dependencies. After configuring the server settings in server_config.json, execute the run.sh script to start the server.
Key features
Key features of libvirt-mcp include integration with Libvirt for virtualization management, support for the ollama model serving, and the ability to use Python for scripting and debugging.
Where to use
libvirt-mcp can be used in cloud computing environments, virtual machine management, and development scenarios where virtualization and model serving are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Libvirt Mcp
libvirt-mcp is an experimental MCP server designed for integration with Libvirt, enabling users to manage and interact with virtualized environments using the MCP framework.
Use cases
Use cases for libvirt-mcp include deploying machine learning models in virtualized environments, testing applications in isolated settings, and managing resources in cloud infrastructures.
How to use
To use libvirt-mcp, first install mcp-cli and ollama, then set up the necessary Python bindings and dependencies. After configuring the server settings in server_config.json, execute the run.sh script to start the server.
Key features
Key features of libvirt-mcp include integration with Libvirt for virtualization management, support for the ollama model serving, and the ability to use Python for scripting and debugging.
Where to use
libvirt-mcp can be used in cloud computing environments, virtual machine management, and development scenarios where virtualization and model serving are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
libvirt-mcp
This is an experimental mcp server for libvirt. The
following lines explain how to use it with mcp-cli and ollama.
First, install mcp-cli:
git clone https://github.com/chrishayuk/mcp-cli
pip3.11 install -e ".[cli,dev]"
Then, install ollama:
curl -fsSL https://ollama.com/install.sh | sh ollama serve >/dev/null 2>&1 & ollama pull granite3.2:8b-instruct-q8_0
You need also uv:
pip install uv
You need the following python bindings:
dnf install -y libvirt-devel python3-devel
Then, in the libvirt-mcp directory, first install the dependencies by running:
uv sync
Then, edit server_config.json and set up the correct path to the libvirt-mcp
server. Finally, execute run.sh, that uses ollama as provider and granite
as model.
For debugging, you can install mcp:
dnf install -y npm pip install mcp
And then, run:
mcp dev setup.py
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
