mcp-use/dist/examples/blender_use.js

A utility library for integrating Model Context Protocol (MCP) with LangChain, Zod, and related tools. Provides helpers for schema conversion, event streaming, and SDK usage.

/**
 * Blender MCP example for mcp-use.
 *
 * This example demonstrates how to use the mcp-use library with MCPClient
 * to connect an LLM to Blender through MCP tools via WebSocket.
 * The example assumes you have installed the Blender MCP addon from:
 * https://github.com/ahujasid/blender-mcp
 *
 * Make sure the addon is enabled in Blender preferences and the WebSocket
 * server is running before executing this script.
 *
 * Special thanks to https://github.com/ahujasid/blender-mcp for the server.
 */
import { ChatAnthropic } from '@langchain/anthropic';
import { config } from 'dotenv';
import { MCPAgent, MCPClient } from '../index.js';
// Load environment variables from .env file
config();
async function runBlenderExample() {
    // Create MCPClient with Blender MCP configuration
    const config = { mcpServers: { blender: { command: 'uvx', args: ['blender-mcp'] } } };
    const client = MCPClient.fromDict(config);
    // Create LLM
    const llm = new ChatAnthropic({ model: 'claude-3-5-sonnet-20240620' });
    // Create agent with the client
    const agent = new MCPAgent({ llm, client, maxSteps: 30 });
    try {
        // Run the query
        const result = await agent.run('Create an inflatable cube with soft material and a plane as ground.', 30);
        console.error(`\nResult: ${result}`);
    }
    finally {
        // Ensure we clean up resources properly
        await client.closeAllSessions();
    }
}
if (import.meta.url === `file://${process.argv[1]}`) {
    runBlenderExample().catch(console.error);
}