This MCP server implements a Model Context Protocol server for Containerd's Container Runtime Interface (CRI) using the RMCP (Rust Model Context Protocol) library. It provides programmatic access to container and image operations through a standardized interface.
Build the MCP Containerd server with Cargo:
cargo build --release
Start the MCP server with:
cargo run --release
By default, the server connects to the Containerd socket at unix:///run/containerd/containerd.sock
.
You can use the simple-chat-client to interact with the MCP Containerd service, which is available in the rust-sdk repository.
Example interactions:
> please give me a list of containers
AI: Listing containers...
Tool: list_containers
Result: {"containers":[...]}
> please give me a list of images
AI: Here are the images in your containerd:
Tool: list_images
Result: {"images":[...]}
The runtime service provides interfaces for:
The image service provides interfaces for:
Provides CRI version information to clients.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.