Sendbird MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 18 tools to Ban User, Block User, Create Bot, and more

Name: Sendbird
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Sendbird through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Sendbird MCP Server for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Sendbird, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Sendbird MCP Server

Connect your Sendbird application to any AI agent and take full control of your chat ecosystem through natural conversation.

The Vercel AI SDK gives every Sendbird tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 18 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

User Management — Create new users, list existing ones, and manage profiles or access tokens for your chat application.
Channel Orchestration — Create and manage Open Channels for massive public scale or Group Channels for private, distinct conversations.
Moderation & Safety — Maintain community standards by blocking, muting, or banning users, and freezing channels during incidents.
Automation & Bots — Create and manage bots to send automated messages and interact with users programmatically.
Channel Lifecycle — Update channel metadata, join or leave group chats, and invite new members seamlessly.

The Sendbird MCP Server exposes 18 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 18 Sendbird tools available for Vercel AI SDK

When Vercel AI SDK connects to Sendbird through Vinkius, your AI agent gets direct access to every tool listed below — spanning in-app-chat, messaging-api, user-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

ban

Ban user on Sendbird

Ban a user from a channel

block

Block user on Sendbird

Block a user

create

Create bot on Sendbird

Create a bot

create

Create group channel on Sendbird

Create a group channel

create

Create open channel on Sendbird

Create an open channel

create

Create user on Sendbird

Create a new Sendbird user

delete

Delete open channel on Sendbird

Delete an open channel

freeze

Freeze channel on Sendbird

Freeze a channel

get

Get open channel on Sendbird

Get an open channel by URL

invite

Invite group channel on Sendbird

Invite users to a group channel

join

Join group channel on Sendbird

Join a group channel

leave

Leave group channel on Sendbird

Leave a group channel

list

List open channels on Sendbird

List open channels

list

List users on Sendbird

List Sendbird users

mute

Mute user on Sendbird

Mute a user in a channel

send

Send bot message on Sendbird

Send a message via bot

send

Send message on Sendbird

Send a message to a channel

update

Update open channel on Sendbird

Update an open channel

Connect Sendbird to Vercel AI SDK via MCP

Follow these steps to wire Sendbird into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 18 tools from Sendbird and passes them to the LLM

Why Use Vercel AI SDK with the Sendbird MCP Server

Vercel AI SDK provides unique advantages when paired with Sendbird through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Sendbird integration everywhere

Built-in streaming UI primitives let you display Sendbird tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Sendbird + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Sendbird MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Sendbird in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Sendbird tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Sendbird capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Sendbird through natural language queries

Example Prompts for Sendbird in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sendbird immediately.

"List the first 10 users in our Sendbird application."

"Create a new open channel called 'Global-Lounge' for our community."

"Freeze the channel at URL 'sendbird_open_channel_123' to stop all messaging."

Troubleshooting Sendbird MCP Server with Vercel AI SDK

Common issues when connecting Sendbird to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Sendbird + Vercel AI SDK FAQ

Common questions about integrating Sendbird MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.