Coderunner provides a secure local sandbox for executing LLM-generated code using Apple containers. It exposes APIs to run, test, and debug Python code in isolated environments. Connects to local Mac systems and integrates with LLMs for code generation. Useful for developers testing AI-generated code, ensuring security and isolation.
Coderunner provides a secure local sandbox for executing LLM-generated code using Apple containers. It exposes APIs to run, test, and debug Python code in isolated environments. Connects to local Mac systems and integrates with LLMs for code generation. Useful for developers testing AI-generated code, ensuring security and isolation.
pip install coderunnerAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"instavm-coderunner-github": {
"command": "uvx",
"args": [
"pip install coderunner"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from coderunner?"
No configuration required. This server works out of the box.
"What resources are available in coderunner?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in coderunner"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in coderunner with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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