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 Google ADK 10 tools — connect in under 2 minutes

Name: Slack Bot
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Slack Bot as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="slack_bot_agent",
    instruction=(
        "You help users interact with Slack Bot "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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.

Google ADK natively supports Slack Bot as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Slack Bot via MCP

Why Use Google ADK with the Slack Bot MCP Server

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

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Slack Bot

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Slack Bot tools with BigQuery, Vertex AI, and Cloud Functions

Slack Bot + Google ADK Use Cases

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

Enterprise data agents: ADK agents query Slack Bot and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Slack Bot tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Slack Bot regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Slack Bot

Slack Bot MCP Tools for Google ADK (10)

These 10 tools become available when you connect Slack Bot to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Slack Bot + Google ADK FAQ

Common questions about integrating Slack Bot MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.