const { Client } = require("@modelcontextprotocol/sdk/client/index.js");
const { StdioClientTransport } = require("@modelcontextprotocol/sdk/client/stdio.js");
const path = require("path");
async function main() {
console.log("Starting MCP Client...");
const transport = new StdioClientTransport({
command: "node",
args: [path.join(__dirname, "../dist/server.js")],
});
const client = new Client(
{ name: "test-client", version: "1.0.0" },
{ capabilities: {} }
);
await client.connect(transport);
console.log("Connected to server.");
const tools = await client.listTools();
console.log("Available tools:", tools.tools.map(t => t.name));
// Test Math Explainer
console.log("\n--- Testing math_explainer ---");
const sampleText = `
The loss function is defined as $L = \\frac{1}{N} \\sum_{i=1}^N (y_i - \\hat{y}_i)^2$.
where $N$ denotes the batch size, $y_i$ is the ground truth label, and $\\hat{y}_i$ represents the predicted value.
We optimize this using SGD.
`;
const result = await client.callTool({
name: "math_explainer",
arguments: { text: sampleText }
});
const parsed = JSON.parse(result.content[0].text);
console.log("Summary:\n", parsed.summary);
await client.close();
}
main().catch(console.error);
