Skip to main content
Glama
gemini-setup.md1.1 kB
# Gemini CLI Setup > **Note**: While PAL MCP Server connects successfully to Gemini CLI, tool invocation is not working > correctly yet. We'll update this guide once the integration is fully functional. This guide explains how to configure PAL MCP Server to work with [Gemini CLI](https://github.com/google-gemini/gemini-cli). ## Prerequisites - PAL MCP Server installed and configured - Gemini CLI installed - At least one API key configured in your `.env` file ## Configuration 1. Edit `~/.gemini/settings.json` and add: ```json { "mcpServers": { "pal": { "command": "/path/to/pal-mcp-server/pal-mcp-server" } } } ``` 2. Replace `/path/to/pal-mcp-server` with your actual PAL MCP installation path (the folder name may still be `pal-mcp-server`). 3. If the `pal-mcp-server` wrapper script doesn't exist, create it: ```bash #!/bin/bash DIR="$(cd "$(dirname "$0")" && pwd)" cd "$DIR" exec .pal_venv/bin/python server.py "$@" ``` Then make it executable: `chmod +x pal-mcp-server` 4. Restart Gemini CLI. All 15 PAL tools are now available in your Gemini CLI session.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/BeehiveInnovations/zen-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server