Implement real-time streaming for interactive AI experiences. Watch AI think, generate code, and use tools in real-time.
Streaming enables real-time feedback, transparency in AI reasoning, and the ability to intervene or guide the AI during generation. This creates a more collaborative and efficient development workflow.
See results as they're generated
Watch AI reasoning in action
Pause, guide, or redirect generation
// Real-time Streaming Implementation
import { MCPStream } from '@mcpcodex/sdk';
const stream = new MCPStream({
model: 'claude-3-opus',
temperature: 0.3
});
// Handle streaming events
stream.on('start', () => {
console.log('Stream started');
});
stream.on('token', (token) => {
process.stdout.write(token);
});
stream.on('thinking', (thought) => {
console.log('AI thinking:', thought);
});
stream.on('tool_call', (tool) => {
console.log('Using tool:', tool.name);
});
stream.on('complete', (result) => {
console.log('Stream complete:', result.totalTokens);
});
// Start streaming
await stream.generate({
prompt: "Build a real-time chat application",
stream: true
});Stream individual tokens as they're generated for real-time text display.
Stream tool usage and execution results as AI works through tasks.
Stream AI reasoning and decision-making process for transparency.
Stream status updates and progress indicators for long-running tasks.
Streaming creates engaging, interactive AI experiences. Get started with our examples.