junai Pipeline MCP for Gemini CLI
io.github.saajunaid/junai-mcp
Agentic pipeline orchestration MCP server for AI-driven development workflows.
client:Gemini CLI
transport:stdio
runtime:pypi
Install junai Pipeline MCP in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"junai-mcp": {
"command": "uvx",
"args": [
"junai-mcp"
],
"env": {
"PIPELINE_STATE_PATH": "<PIPELINE_STATE_PATH>",
"JUNAI_WORKSPACE_ROOT": "<JUNAI_WORKSPACE_ROOT>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs