How do I find my Slack Bot User OAuth Token?

Log in to [**Slack API**](https://api.slack.com/apps), select your app, and navigate to **OAuth & Permissions**. You will find the token starting with `xoxb-` under the **OAuth Tokens for Your Workspace** section.

INSTANT PLUG AND PLAY

Slack MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Check Connection, Get Channel Details, Get Channel History, and more

Name: Slack
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Slack app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Slack Assistant",
            instructions=(
                "You help users interact with Slack. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Slack MCP Server

Connect your Slack workspace to any AI agent to automate your team communication and collaboration. Slack provides a premier platform for business messaging, and this integration allows you to retrieve channel info, send messages, and search through conversational history through natural conversation.

The OpenAI Agents SDK auto-discovers all 11 tools from Slack through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Slack, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Communication Orchestration — Post instant messages to channels or direct conversations and manage team threads programmatically.
Channel & User Management — List all available channels and retrieve detailed member profile metadata directly from the AI interface.
Search & Discovery Intelligence — Search through messages and retrieve channel histories to stay informed on team discussions via natural language.
Presence & Status Tracking — Access user presence metadata and monitor team availability to ensure optimal collaboration.
Operational Monitoring — Test authentication and monitor workspace health to ensure reliable connectivity between Slack and your AI workflows.

The Slack MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Slack tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Slack through Vinkius, your AI agent gets direct access to every tool listed below — spanning instant-messaging, channels, workspace, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_connection

Verify API access

get_channel_details

Get metadata for a channel

get_channel_history

List recent messages

get_user_presence

Check if a user is online

get_user_profile

Get details for a user

list_channels

List public channels

list_pins

List all pinned messages in a channel

list_reactions

Get reactions on a specific message

list_users

List workspace members

search_messages

Search for messages

send_message

Send a message to a channel

Connect Slack to OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 11 tools from Slack

Why Use OpenAI Agents SDK with the Slack MCP Server

OpenAI Agents SDK provides unique advantages when paired with Slack 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

Slack + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Slack in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Slack immediately.

"Post an update to the #general channel: 'The new feature is live!'."

"Show me the activity summary for all channels with message volumes and active participants this week."

"Post a message to the #engineering channel announcing the deployment freeze for next week."

Troubleshooting Slack MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Slack + OpenAI Agents SDK FAQ

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

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.

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.

Does the SDK support streaming responses?

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