langfuse for Gemini CLI
com.pulsemcp/langfuse
MCP server for Langfuse LLM observability — trace and observation analysis.
client:Gemini CLI
transport:stdio
runtime:npm
Install langfuse in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"langfuse": {
"command": "npx",
"args": [
"-y",
"langfuse-observability-mcp-server"
],
"env": {
"LANGFUSE_SECRET_KEY": "<LANGFUSE_SECRET_KEY>",
"LANGFUSE_PUBLIC_KEY": "<LANGFUSE_PUBLIC_KEY>",
"LANGFUSE_BASE_URL": "<LANGFUSE_BASE_URL>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs