4,000+ servers built on vurb.ts
Vinkius

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

MCP Inspector GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Sendbird through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Sendbird MCP Server for OpenAI Agents 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Sendbird Assistant",
            instructions=(
                "You help users interact with Sendbird. "
                "You have access to 18 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Sendbird"
        )
        print(result.final_output)

asyncio.run(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.

The OpenAI Agents SDK auto-discovers all 18 tools from Sendbird through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Sendbird, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 18 tools from Sendbird

Why Use OpenAI Agents SDK with the Sendbird MCP Server

OpenAI Agents SDK provides unique advantages when paired with Sendbird through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Sendbird + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Sendbird MCP Server delivers measurable value.

01

Automated workflows: build agents that query Sendbird, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Sendbird, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Sendbird tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Sendbird to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Sendbird in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Sendbird to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Sendbird + OpenAI Agents SDK FAQ

Common questions about integrating Sendbird MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Explore More MCP Servers

View all →