import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js"

const transport = new StdioClientTransport({
  "command": "python",
  "args": [
    "-m",
    "uv",
    "--directory",
    "/path_to_cloned_minima_project/mcp-server",
    "run",
    "minima"
  ],
  "env": {
    "LOCAL_FILES_PATH": "/path/to/folder",
    "EMBEDDING_MODEL_ID": "sentence-transformers/all-mpnet-base-v2",
    "EMBEDDING_SIZE": "768",
    "START_INDEXING": "true",
    "OLLAMA_MODEL": "qwen2:0.5b",
    "RERANKER_MODEL": "BAAI/bge-reranker-base"
  }
})

// Create MCP client
import { Client } from "@modelcontextprotocol/sdk/client/index.js"

const client = new Client({
	name: "Test client",
	version: "1.0.0"
})
await client.connect(transport)

// Use the server tools with your LLM application
const tools = await client.listTools()
console.log(`Available tools: ${tools.map(t => t.name).join(", ")}`)

// Example: Call a tool
// const result = await client.callTool("tool_name", { param1: "value1" })