Sendbird AI Chatbot

@Sendbird list all active bots in our workspace and show me their current webhook configurations

Found 3 bots in your Sendbird application: 1. **support-bot** (ID: bot_support_001) - Nickname: Customer Support Assistant - Webhook: https://api.example.com/webhooks/support (enabled) - Read receipts: enabled 2. **onboarding-bot** (ID: bot_onboard_002) - Nickname: Welcome Guide - Webhook: not configured - Read receipts: disabled 3. **sales-bot** (ID: bot_sales_003) - Nickname: Sales Assistant - Webhook: https://api.example.com/webhooks/sales (disabled) - Read receipts: enabled This illustrative example shows the kind of bot inventory you'd see. Actual bot details depend on your Sendbird app configuration.

This read-heavy example demonstrates the List Bots tool with filtering capabilities. Requires a valid Sendbird API key with read permissions. Pagination applies if you have more than 100 bots — the MCP returns a subset and you'd need to request subsequent pages. Useful for auditing bot configurations before making changes.

@Sendbird create a new FAQ bot named 'help-desk-bot' with webhook URL https://hooks.myapp.com/faq and enable read receipts

Successfully created bot **help-desk-bot**: - User ID: bot_helpdesk_004 (auto-generated) - Nickname: help-desk-bot - Webhook URL: https://hooks.myapp.com/faq (enabled) - Read receipts: enabled - Profile image: default avatar - Created: 2025-01-15 14:32 UTC The bot is now active in your Sendbird application and will receive webhook events when users interact with it in group channels. You can update its profile image or other settings using the Update Bot tool. This example illustrates a typical bot creation flow — actual response includes additional metadata fields.

This write example shows the Create Bot tool in action. The MCP makes a live API call that modifies your Sendbird app state — the bot will immediately appear in your application. Webhook URL must be publicly accessible and return 200 OK to Sendbird's validation request. If creation fails due to duplicate bot_id or invalid webhook, you'll see an error instead of this success message.

@Sendbird check which group channels our support-bot is active in, then summarize the most common topics from the last 50 messages across those channels

**support-bot** is active in 12 group channels. Here's what the last 50 messages reveal: **Most common topics:** 1. **Password reset requests** (18 messages) — users asking how to recover accounts 2. **Billing questions** (12 messages) — invoice timing, payment method updates 3. **Feature requests** (9 messages) — mobile app improvements, notification settings 4. **Bug reports** (7 messages) — login errors, sync issues 5. **General inquiries** (4 messages) — onboarding help, documentation links **Insight:** Password reset flow is causing friction — consider adding a self-service link to the bot's auto-response. This synthesis example combines List Group Channels data with AI reasoning to surface patterns. Actual message content isn't directly accessible via this MCP — this illustrates the analytical layer the AI provides.

This synthesis example pairs the List Group Channels tool with AI reasoning to extract insights. Note that the Sendbird AI Chatbot MCP doesn't directly expose message content retrieval — this example assumes you'd use Sendbird's separate messaging APIs or the AI would work from webhook logs. Demonstrates how the MCP enables bot management workflows that feed into broader conversation analytics.

When Sendbird wins for first-line support automation

A 6-person SaaS support team wants a bot to handle tier-1 questions in their in-app chat before escalating to humans. This MCP is the right call if you're already on Sendbird for customer messaging—you can spin up a bot, wire its webhook to your knowledge base, and update its behavior without leaving the AI workspace. The Create Bot and Update Bot Webhook tools let you iterate on routing logic during standup without waiting on engineering. The threshold: if you're not using Sendbird as your chat infrastructure, this MCP adds no value—you'd need a different integration for Intercom, Zendesk, or whatever you run. If Sendbird is your chat backbone and you want the team to own bot config, this is the fastest path from idea to production.

When this MCP scales bot management across departments

A 40-person company runs separate Sendbird bots for sales, support, and onboarding, each with different webhooks and privacy settings. This MCP becomes essential when you need cross-functional visibility—marketing can List Bots to audit what's live, ops can Update Bot to toggle read receipts during an incident, and product can List Group Channels to see where bots are actually deployed. The 7-tool scope covers the full bot lifecycle, so you're not context-switching to the Sendbird dashboard for routine changes. The trade-off: if you only run one bot and rarely touch its config, the MCP is overkill—just set it up once in the UI. If you're managing multiple bots with different owners and frequent config drift, this keeps everyone in sync without Sendbird admin bottlenecks.

When this MCP speeds up integration troubleshooting

A 3-person dev team is launching a new AI bot and the webhook keeps timing out in staging. This MCP shines when you need rapid iteration on webhook config—Get Bot confirms the current URL, Update Bot Webhook swaps in the new endpoint, and Unregister Bot Webhook lets you kill the integration if it's breaking the channel. You're running these commands from the same workspace where you're debugging logs and testing prompts, so the feedback loop is tight. The caveat: this only helps if the problem is Sendbird-side config, not your webhook service itself. If you're spending more time in your API logs than in Sendbird settings, the MCP won't accelerate much. For teams where bot config is the iteration bottleneck, this cuts deploy cycles from hours to minutes.