Exec Sandbox for Gemini CLI
io.github.inhuman/mcp-exec
Single exec tool running caller Python in a network-isolated locked-down sandbox.
client:Gemini CLI
transport:stdio
runtime:oci
Install Exec Sandbox in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"mcp-exec": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/idconstruct/mcp-exec:v0.5.4"
],
"env": {
"MCP_EXEC_TRANSPORT": "<MCP_EXEC_TRANSPORT>",
"MCP_EXEC_DEFAULT_TIMEOUT_S": "<MCP_EXEC_DEFAULT_TIMEOUT_S>",
"MCP_EXEC_MAX_TIMEOUT_S": "<MCP_EXEC_MAX_TIMEOUT_S>",
"MCP_EXEC_MAX_OUTPUT_BYTES": "<MCP_EXEC_MAX_OUTPUT_BYTES>",
"MCP_EXEC_MAX_STDIN_BYTES": "<MCP_EXEC_MAX_STDIN_BYTES>",
"MCP_EXEC_AUTH_TOKEN": "<MCP_EXEC_AUTH_TOKEN>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs