How do I get started with Slack MCP?

Subscribe, then create a Slack App at **api.slack.com/apps → Create New App**. Go to **OAuth & Permissions**, add the required bot scopes (channels:read, chat:write, search:read, users:read), install the app to your workspace, and paste the **Bot User OAuth Token** (starts with xoxb-) here. No code, no webhooks — just connect and go.

Can my AI agent send messages and reply in threads?

Yes. Your agent can post to any channel the bot has been invited to — including threaded replies. Just say 'post in #engineering that the deploy is complete' or 'reply in the thread about the bug fix'. It supports Slack's full mrkdwn formatting including bold, links, code blocks, and mentions.

How can I find a specific conversation from last week?

Tell your agent to search for it — 'find messages about the Q3 budget review' or 'search for messages from @sarah about the client proposal'. The agent uses Slack's search API with support for modifiers like from:user, in:channel, and date ranges. No more scrolling through channels — your agent retrieves the exact messages you need.

Can I manage multiple channels and monitor team activity?

Absolutely. List all channels to get an overview of your workspace structure, read history from specific channels to audit conversations, and check team member profiles, statuses, and timezones. Perfect for distributed teams, engineering organizations, and operations managers who need a bird's-eye view of communication across dozens of channels.

Slack MCP Server for AutoGen 6 tools — connect in under 2 minutes

Name: Slack
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 6 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Slack 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_agent",
            tools=tools,
            system_message=(
                "You help users with Slack. "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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

Transform your team communication into an AI-powered workflow with Slack, the world's leading workplace messaging platform. Your agent becomes a direct participant in your Slack workspace — sending messages, searching across channels, and reacting to conversations without you ever switching tabs.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Slack tools. Connect 6 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

Send Messages — Post messages to any channel or DM, including threaded replies, using Slack's rich mrkdwn formatting.
Search Conversations — Find messages across your entire workspace by keyword, sender, or channel using powerful search modifiers.
Browse Channels — List all available channels with their topics, purposes, and member counts to understand your workspace structure.
Read Channel History — Retrieve recent messages from any channel to catch up on conversations or audit activity.
Manage Users — List workspace members with their roles, emails, statuses, and timezones.
React to Messages — Add emoji reactions to specific messages for quick acknowledgments.

The Slack MCP Server exposes 6 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 to AutoGen via MCP

Follow these steps to integrate the Slack 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 6 tools from Slack automatically

Why Use AutoGen with the Slack MCP Server

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

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

Role-based architecture lets you assign Slack 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 tool calls

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

Slack + AutoGen Use Cases

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

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

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

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

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

Slack MCP Tools for AutoGen (6)

These 6 tools become available when you connect Slack to AutoGen via MCP:

channels_history

Requires the channel ID (use channels_list to find it). Returns messages in reverse chronological order. Get recent messages from a Slack channel

channels_list

Returns public and private channels the bot has access to. Channel IDs are needed for sending messages or reading history. List Slack channels in the workspace

messages_search

Searches message content, usernames, and channels. Results are sorted by most recent first. Search for messages across the Slack workspace

messages_send

Requires the channel ID. Use channels_list to find available channels. Optionally specify thread_ts to reply in a thread. Send a message to a Slack channel or DM

reactions_add

Requires the channel ID and the exact message timestamp (ts). Use channels_history to find message timestamps. Add a reaction emoji to a Slack message

users_list

Returns user IDs, names, emails, and status. User IDs are needed for sending DMs or identifying message authors. List users in the Slack workspace

Example Prompts for Slack in AutoGen

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

"List all channels in my Slack workspace."

"Post a message in #engineering: 'Deploy v2.4.1 is live on production 🚀'"

"Search for messages about 'API outage' from last week."

Troubleshooting Slack MCP Server with AutoGen

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

McpWorkbench not found

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

Slack + AutoGen FAQ

Common questions about integrating Slack 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 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.