What dependencies are required?
You need a running containerlab API server and the latest build of containerlab from the main branch. The MCP server is a compiled Go binary.
Containerlab MCP Server
@FloSch62
基本信息
关于 Containerlab MCP Server
暂无概览
Containerlab MCP Server 配置
Containerlab MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Containerlab MCP Server?
Containerlab MCP Server is an experimental Model Context Protocol server that enables AI assistants (such as Claude) to interact with containerlab network topologies. It is tailored for use with Claude Desktop and requires a running containerlab API server.
How to use Containerlab MCP Server?
Build the MCP server binary for your platform (Windows, Mac, or Linux) using go build, then configure Claude Desktop by placing the executable and adding a claude_desktop_config.json that sets the API_SERVER_URL environment variable (default http://localhost:8080). Ensure the containerlab API server is running.
Key features of Containerlab MCP Server
- List available containerlab labs
- Deploy new network topologies
- Inspect lab details
- Execute commands on lab nodes
- Destroy and clean up labs
Use cases of Containerlab MCP Server
- Ask Claude to deploy a lab topology using natural language
- Inspect the status of running labs via Claude
- Execute commands on lab nodes through conversational AI
- Destroy and clean up labs with simple prompts
常见问题
What transport does the server use?
The server communicates with the containerlab API server via HTTP, using the `API_SERVER_URL` environment variable (default `http://localhost:8080`).
Where do lab configurations and data live?
Lab topologies and state are managed by containerlab itself. The MCP server acts only as a proxy to the API server; no lab data is stored by the MCP server.
Is authentication supported?
The README does not mention any authentication mechanism. The server is intended for local use.
Is this ready for production?
No. The README describes this as a "quick and dirty trial" for exploring MCP with containerlab. It is experimental.
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