How do I find my Slack Bot Token?

Log in to the [**Slack App Console**](https://api.slack.com/apps), select your App, go to **OAuth & Permissions**, and copy the 'Bot User OAuth Token'. Paste it below.

Can the agent check if a user is active?

Yes. Use the `get_presence` tool providing the User ID. Your agent will return the real-time presence status (active or away) for that specific user.

Is it possible to retrieve message history via the agent?

Yes. The `get_history` tool allows your agent to fetch recent messages from any channel, helping you audit conversations or monitor specific updates.

Slack Bot MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: Slack Bot
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Slack Bot as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="slack_bot_agent",
            tools=tools,
            system_message=(
                "You help users with Slack Bot. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(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 Slack Bot MCP Server

Empower your AI agent to orchestrate your entire workspace communication on Slack, the leading platform for team collaboration. By connecting your Slack bot to your agent, you transform complex workspace management into a natural conversation. Your agent can instantly list your channels, audit message history, and send updates without you ever touching a dashboard. Whether you are a community manager or a project lead, your agent acts as a real-time coordinator, ensuring your team is always informed and your communication data is organized.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Slack Bot tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Conversation Auditing — List all public channels in your workspace and retrieve detailed metadata, including purpose and topics.
Messaging Intelligence — Send and delete messages in any channel, and retrieve recent message history for real-time monitoring.
User Administration — Query workspace member lists, check user profiles, and monitor real-time presence (active/away).
Channel Governance — Autonomously join or leave public channels to keep your bot's scope relevant and efficient.
Operational Monitoring — Quickly retrieve detailed channel and user information to maintain strict organizational control.

The Slack Bot MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Slack Bot to AutoGen via MCP

Follow these steps to integrate the Slack Bot MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Slack Bot automatically

Why Use AutoGen with the Slack Bot MCP Server

AutoGen provides unique advantages when paired with Slack Bot through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Slack Bot tools to solve complex tasks

Role-based architecture lets you assign Slack Bot tool access to specific agents — a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Slack Bot tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Slack Bot tool responses in an isolated environment

Slack Bot + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Slack Bot MCP Server delivers measurable value.

Collaborative analysis: one agent queries Slack Bot while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Slack Bot, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Slack Bot data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Slack Bot responses in a sandboxed execution environment

Slack Bot MCP Tools for AutoGen (10)

These 10 tools become available when you connect Slack Bot to AutoGen via MCP:

delete_message

Delete a message from Slack

get_channel_info

Get details for a specific channel

get_history

Get message history for a channel

get_presence

Check if a user is active or away

get_user_info

Get details for a specific user

join_channel

Join a public channel

leave_channel

Leave a Slack channel

list_channels

List Slack channels

list_users

List all users in the workspace

send_message

Send a message to a Slack channel

Example Prompts for Slack Bot in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Slack Bot immediately.

"List all public channels in my Slack workspace."

"Send 'Good morning team!' to #general."

"Check if user ID U12345 is currently active."

Troubleshooting Slack Bot MCP Server with AutoGen

Common issues when connecting Slack Bot to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Slack Bot + AutoGen FAQ

Common questions about integrating Slack Bot MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Slack Bot tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.