outflow mcp for Gemini CLI
io.github.laurells/outflow-mcp
MCP server exposing an Outflow workspace's live architecture graph as context for AI coding agents
client:Gemini CLI
transport:stdio
runtime:npm
Install outflow mcp in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"outflow-mcp": {
"command": "npx",
"args": [
"-y",
"outflow-mcp"
],
"env": {
"OUTFLOW_BASE_URL": "<OUTFLOW_BASE_URL>",
"OUTFLOW_API_KEY": "<OUTFLOW_API_KEY>",
"OUTFLOW_WORKSPACE_ID": "<OUTFLOW_WORKSPACE_ID>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs