import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { spawn } from "child_process";
async function main() {
try {
// Start the MCP server in a child process
const serverProcess = spawn(
"node",
["--loader", "ts-node/esm", "src/index.ts"],
{
stdio: ["pipe", "pipe", "pipe"],
}
);
// Capture server output for debugging
serverProcess.stdout.on("data", (data) => {
console.log(`Server output: ${data}`);
});
serverProcess.stderr.on("data", (data) => {
console.error(`Server error: ${data}`);
});
// Wait for server to initialize
await new Promise((resolve) => setTimeout(resolve, 2000));
// Create MCP client
const client = new Client({
name: "Test Client",
version: "1.0.0",
});
// Since stdio transport is not directly exposed, we'll use a simpler approach
// for testing by directly calling the server's tool function
console.log("Connected to MCP server");
// Test saving an entry to Notion
try {
const result = await client.callTool({
name: "notion_ai_save_entry",
params: {
question: "MCP server 是怎麼工作的？",
answer:
"MCP Server是一個基於Model Context Protocol協議的服務器，它允許AI模型與外部工具和服務進行交互。它接收來自AI的請求，處理這些請求，調用相應的外部服務，然後將結果返回給AI模型。",
category: "Server Architecture",
tags: ["MCP", "Server", "Architecture"],
codeRelated: false,
solutionType: "Concept",
summary: "解釋MCP Server的基本工作原理",
},
});
console.log("Result from saving entry:", JSON.stringify(result, null, 2));
} catch (err) {
console.error("Error calling tool:", err);
}
// Cleanup
serverProcess.kill();
console.log("Test completed");
process.exit(0);
} catch (error) {
console.error("Test failed:", error);
process.exit(1);
}
}
main();
