Sendbird MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 18 tools to Ban User, Block User, Create Bot, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 user on Sendbird
Ban a user from a channel
Block user on Sendbird
Block a user
Create bot on Sendbird
Create a bot
Create group channel on Sendbird
Create a group channel
Create open channel on Sendbird
Create an open channel
Create user on Sendbird
Create a new Sendbird user
Delete open channel on Sendbird
Delete an open channel
Freeze channel on Sendbird
Freeze a channel
Get open channel on Sendbird
Get an open channel by URL
Invite group channel on Sendbird
Invite users to a group channel
Join group channel on Sendbird
Join a group channel
Leave group channel on Sendbird
Leave a group channel
List open channels on Sendbird
List open channels
List users on Sendbird
List Sendbird users
Mute user on Sendbird
Mute a user in a channel
Send bot message on Sendbird
Send a message via bot
Send message on Sendbird
Send a message to a channel
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.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Sendbird, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Sendbird, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Sendbird tools and transform it with OpenAI models in a single async loop
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.
"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 OpenAI Agents SDK
Common issues when connecting Sendbird to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Sendbird + OpenAI Agents SDK FAQ
Common questions about integrating Sendbird MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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