feat(chat): upgrade to full agentic demo bot (Option B)

Chat widget now runs a live tool-use loop via Claude Haiku. Exposes
slack, discord, and telegram demo tools — bot can actually send messages
and read channels to prove the platform works in real time. Widget shows
a purple pill with tool names when the agent calls a live platform.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

product/chat-widget.js

@@ -50,6 +50,11 @@
       background: ${BRAND}; color: #fff; border-bottom-right-radius: 4px; align-self: flex-end;
     }
     .smcp-msg.typing { color: #888; font-style: italic; }
+    .smcp-tools-used {
+      font-size: 11px; color: #6c47ff; background: #f1f0fe;
+      border-radius: 6px; padding: 4px 8px; align-self: flex-start;
+      display: flex; align-items: center; gap: 5px;
+    }
     #smcp-input-row {
       padding: 10px 12px; border-top: 1px solid #eee;
       display: flex; gap: 8px; flex-shrink: 0;
@@ -152,6 +157,12 @@
         indicator.textContent = reply;
         indicator.classList.remove('typing');
         history.push({ role: 'assistant', content: reply });
+        if (data.toolsUsed && data.toolsUsed.length > 0) {
+          const pill = document.createElement('div');
+          pill.className = 'smcp-tools-used';
+          pill.textContent = '⚡ Live: ' + data.toolsUsed.join(', ');
+          messages.appendChild(pill);
+        }
       } catch {
         indicator.textContent = 'Network error. Please try again.';
         indicator.classList.remove('typing');

src/chat.ts

@@ -1,49 +1,123 @@
 import Anthropic from '@anthropic-ai/sdk';
+import { tools as allTools, handleToolCall } from './tools.js';
 
 const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });
 
-const SYSTEM_PROMPT = `You are a friendly and knowledgeable support assistant for SquareMCP — an AI Social Media Gateway that lets AI agents (Claude, ChatGPT, Codex CLI, etc.) post to social platforms via the Model Context Protocol (MCP).
+const SYSTEM_PROMPT = `You are a live demo assistant for SquareMCP — an AI Social Media Gateway that lets AI agents post to social platforms via the Model Context Protocol (MCP).
+
+You have real tools connected to live platforms. When a visitor asks "can it send a Slack message?" or "show me how it works" — actually do it. Send a demo message, read channels, show real results.
 
 What SquareMCP does:
 - Connects AI coding assistants to social platforms: LinkedIn, TikTok, WhatsApp, Instagram, Twitter/X, Facebook, Telegram, Discord, Slack, and Email
 - Works with any MCP-compatible client: Claude Desktop, Claude Code, Cursor, Windsurf, opencode, Codex CLI
 - Provides a multi-tenant SaaS platform where each customer securely stores their own platform credentials
-- Offers a simple dashboard to connect platforms, view usage, and manage webhooks
 - Plans: Free (100 calls/month), Pro, Business
 
-How it works:
+When using tools:
-1. Customer signs up at the SquareMCP dashboard
+- For demo sends (Slack, Telegram, Discord), send a short, friendly message that explains this is a live SquareMCP demo
-2. Connects their social accounts (bot tokens, API keys)
+- After a tool succeeds, explain what just happened and how easy it was
-3. Adds the SquareMCP MCP server to their AI client config
+- If a tool fails (missing credentials), explain what credential the customer would set up instead
-4. Their AI agent can now send messages, post content, read analytics — on any connected platform
+- Never expose tokens or internal IDs in your reply
 
-Common questions:
+Keep replies concise. If you don't know something, say so and suggest emailing support@squaremcp.com.`;
-- Pricing: Free tier available, paid plans for higher usage
-- Supported platforms: LinkedIn, TikTok, WhatsApp Business, Instagram, Twitter/X, Facebook, Telegram, Discord, Slack, Email
-- No coding required to use the dashboard; coding experience helps to get the most from MCP tool calls
-- Webhooks: customers can receive real-time events when messages arrive
-- Security: credentials are encrypted at rest, each customer's data is isolated
 
-Keep answers concise (2-4 sentences max). If you don't know something, say so and suggest emailing support@squaremcp.com. Never make up features or pricing. Speak in a warm, direct tone.`;
+// Tools the public demo agent is allowed to use (no customer auth needed — uses env var creds)
+const DEMO_TOOL_NAMES = new Set([
+  'slack_get_me',
+  'slack_get_channels',
+  'slack_send_message',
+  'slack_get_messages',
+  'discord_get_me',
+  'discord_get_guilds',
+  'discord_send_message',
+  'telegram_get_me',
+  'telegram_send_message',
+]);
+
+const demoTools = allTools
+  .filter(t => DEMO_TOOL_NAMES.has(t.name))
+  .map(t => ({
+    name: t.name,
+    description: t.description,
+    input_schema: t.inputSchema as Anthropic.Tool['input_schema'],
+  }));
 
 export interface ChatMessage {
   role: 'user' | 'assistant';
   content: string;
 }
 
-export async function handleChat(messages: ChatMessage[]): Promise<string> {
+export interface ChatResult {
+  reply: string;
+  toolsUsed: string[];
+}
+
+export async function handleChat(messages: ChatMessage[]): Promise<ChatResult> {
   if (!process.env.ANTHROPIC_API_KEY) {
     throw new Error('ANTHROPIC_API_KEY not configured');
   }
 
+  const apiMessages: Anthropic.MessageParam[] = messages.map(m => ({
+    role: m.role,
+    content: m.content,
+  }));
+
+  const toolsUsed: string[] = [];
+  const MAX_ITERATIONS = 5;
+
+  for (let i = 0; i < MAX_ITERATIONS; i++) {
     const response = await client.messages.create({
       model: 'claude-haiku-4-5-20251001',
-    max_tokens: 512,
+      max_tokens: 1024,
       system: SYSTEM_PROMPT,
-    messages: messages.map(m => ({ role: m.role, content: m.content })),
+      tools: demoTools,
+      messages: apiMessages,
     });
 
-  const block = response.content[0];
+    if (response.stop_reason === 'end_turn') {
-  if (block.type !== 'text') throw new Error('Unexpected response type');
+      const text = response.content.find(b => b.type === 'text');
-  return block.text;
+      return { reply: text?.text ?? 'Done.', toolsUsed };
+    }
+
+    if (response.stop_reason === 'tool_use') {
+      // Add Claude's response (with tool_use blocks) to the message history
+      apiMessages.push({ role: 'assistant', content: response.content });
+
+      // Execute each tool call and collect results
+      const toolResults: Anthropic.ToolResultBlockParam[] = [];
+      for (const block of response.content) {
+        if (block.type !== 'tool_use') continue;
+        toolsUsed.push(block.name);
+        try {
+          const result = await handleToolCall(
+            block.name,
+            block.input as Record<string, unknown>,
+            undefined // no customer — uses env var credentials
+          );
+          toolResults.push({
+            type: 'tool_result',
+            tool_use_id: block.id,
+            content: result.content[0]?.text ?? '',
+            is_error: result.isError,
+          });
+        } catch (err) {
+          toolResults.push({
+            type: 'tool_result',
+            tool_use_id: block.id,
+            content: `Error: ${(err as Error).message}`,
+            is_error: true,
+          });
+        }
+      }
+
+      apiMessages.push({ role: 'user', content: toolResults });
+      continue;
+    }
+
+    // Unexpected stop reason — return whatever text we have
+    const text = response.content.find(b => b.type === 'text');
+    return { reply: text?.text ?? 'Something unexpected happened.', toolsUsed };
+  }
+
+  return { reply: 'I ran too many steps. Please try a simpler request.', toolsUsed };
 }

src/index.ts

@@ -1988,8 +1988,8 @@ app.post('/api/chat', async (req, res) => {
     return;
   }
   try {
-    const reply = await handleChat(messages);
+    const { reply, toolsUsed } = await handleChat(messages);
-    res.json({ reply });
+    res.json({ reply, toolsUsed });
   } catch (err) {
     console.error('[chat] error:', (err as Error).message);
     res.status(500).json({ error: 'Chat unavailable' });