clab-mcp-server
3.3
If you are the rightful owner of clab-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Containerlab MCP Server is a trial implementation for interacting with containerlab using AI, specifically tailored for Claude desktop.
Containerlab MCP Server
This is a quick and dirty MCP (Model Context Protocol) trial for interacting with containerlab using AI. The example is tailored for claude desktop.
- Running containerlab API server
- Latest build of containerlab from the main branch
- Build it yourself:
make build - Copy the binary:
cp bin/containerlab $(which containerlab)
- Build it yourself:
Building the MCP Server
For Windows
export GOOS=windows
export GOARCH=amd64
go build -o clab-mcp-server.exe main.go
For Mac
# For Intel Macs
export GOOS=darwin
export GOARCH=amd64
go build -o clab-mcp-server main.go
# For Apple Silicon (M1/M2/M3)
export GOOS=darwin
export GOARCH=arm64
go build -o clab-mcp-server main.go
For Linux
export GOOS=linux
export GOARCH=amd64
go build -o clab-mcp-server main.go
Setup for Claude Desktop
- Place the MCP server executable in an accessible location
- For Windows:
clab-mcp-server.exe - For Mac/Linux:
clab-mcp-server
- For Windows:
- Create a configuration file named
claude_desktop_config.jsonwith the following content:
# For Windows:
{
"mcpServers": {
"clab-api": {
"command": "C:\\clab-mcp-server.exe",
"args": [],
"env": {
"API_SERVER_URL": "http://localhost:8080"
}
}
}
}
# For Mac/Linux:
{
"mcpServers": {
"clab-api": {
"command": "/path/to/clab-mcp-server",
"args": [],
"env": {
"API_SERVER_URL": "http://localhost:8080"
}
}
}
}
- Ensure the containerlab API server is running at http://localhost:8080 or update the URL as needed
Usage
Once configured, Claude will be able to:
- List available labs
- Deploy new network topologies
- Inspect lab details
- Execute commands on lab nodes
- Destroy and clean up labs
You can ask Claude to perform these operations using natural language, and it will use the appropriate MCP tools to interact with your containerlab environment.
