4,000+ servers built on vurb.ts
Vinkius

Sendbird MCP Server for Mastra AIGive Mastra AI instant access to 18 tools to Ban User, Block User, Create Bot, and more

MCP Inspector GDPR Free for Subscribers

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Sendbird through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Sendbird MCP Server for Mastra AI 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Sendbird Agent",
    instructions:
      "You help users interact with Sendbird " +
      "using 18 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Sendbird?"
  );
  console.log(result.text);
}

main();
Sendbird
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Sendbird tool infrastructure. Connect 18 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 18 tools from Sendbird via MCP

Why Use Mastra AI with the Sendbird MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Sendbird without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Sendbird tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Sendbird + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Sendbird, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Sendbird as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Sendbird on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Sendbird tools alongside other MCP servers

Example Prompts for Sendbird in Mastra AI

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

01

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

02

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

03

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

Troubleshooting Sendbird MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Sendbird + Mastra AI FAQ

Common questions about integrating Sendbird MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Explore More MCP Servers

View all →