MCP tool for cocktail recommendations using RAG (Retrieval-Augmented Generation).
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add rag-00200200 --env GROQ_API_KEY='<GROQ_API_KEY>' -- uv run python src/mcp/server.py~/.codex/config.toml
[mcp_servers.rag-00200200]
command = "uv"
args = ["run", "python", "src/mcp/server.py"]
env = { GROQ_API_KEY = "<GROQ_API_KEY>" }
# codex mcp add rag-00200200 --env GROQ_API_KEY='<GROQ_API_KEY>' -- uv run python src/mcp/server.py~/.cursor/mcp.json
{
"mcpServers": {
"rag-00200200": {
"command": "uv",
"args": [
"run",
"python",
"src/mcp/server.py"
],
"env": {
"GROQ_API_KEY": "<GROQ_API_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"rag-00200200": {
"type": "stdio",
"command": "uv",
"args": [
"run",
"python",
"src/mcp/server.py"
],
"env": {
"GROQ_API_KEY": "<GROQ_API_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"rag-00200200": {
"command": "uv",
"args": [
"run",
"python",
"src/mcp/server.py"
],
"env": {
"GROQ_API_KEY": "<GROQ_API_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"rag-00200200": {
"command": "uv",
"args": [
"run",
"python",
"src/mcp/server.py"
],
"env": {
"GROQ_API_KEY": "<GROQ_API_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"rag-00200200": {
"command": "uv",
"args": [
"run",
"python",
"src/mcp/server.py"
],
"env": {
"GROQ_API_KEY": "<GROQ_API_KEY>"
}
}
}
}Environment variables
GROQ_API_KEY
Replace the placeholders with your own credentials and keep them out of version control.