autogen-kubernetes-mcp

# autogen-kubernete-mcp autogen-kubernetes-mcp is an MCP(Model Context Protocol) server that acts as a Python code interpreter fully compatible with the python built-in tool of the gpt-oss model. It is designed as a custom extension for autogen-kubernetes, enabling Python code execution inside a Kubernetes Pod with configurable runtime parameters. This MCP server can be used in environments where code execution needs to be isolated, reproducible, and integrated with Kubernetes workloads. ## Installation & Usage 1. Install via `pip` ```bash pip install autogen-kubernetes-mcp ``` 2. Install via `uv` ```bash uv pip install autogen-kubernetes-mcp ``` 3. Run via `uvx` ```bash uvx autogen-kubernetes-mcp commandline --namespace my-namespace --image python:3.11-slim ``` 4. Run via Python module ```bash python -m autogen_kubernetes_mcp commandline --namespace my-namespace --image python:3.11-slim ``` ## Command-line Arguments Command-line arguments are used when creating `PodCommandLineCodeExecutor`/`PodJupyterCodeExecutor` and MCP server. `type` arguments: jupyter type creates `PodJupyterCodeExecutor` for python code executor tool. MCP server have to run in same kubernetes cluster because `PodJupyterCodeExecutor` only uses service FQDN to connect jupyter server. Not validated for non-text outputs yet. ```mermaid flowchart LR subgraph K8sCluster["Kubernetes Cluster"] E[PodJupyterCodeExecutor] J[JupyterServerPod] end E --generate--> J ``` All the arguments are optional |Argument|Description|Default| |--|--|--| |`type`|Code Executor type, commandline(stateless), jupyter(stateful) supported|| |`--host`|MCP server host address|`0.0.0.0`| |`--port`|MCP server port|`8000`| |`--kubeconfig`|Path to the kubeconfig file|`None`(auto-detected)| |`--image`|Pod container image name|`None`| |`--pod-name`|Pod name|(auto-generated)| |`--timeout`|Code execution timeout(seconds)|`60`| |`--workspace-path`|Path inside the container where scripts are stored|`/w…