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 Google ADK 6 tools — connect in under 2 minutes

Name: Slack
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 6 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Slack 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

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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_agent",
    instruction=(
        "You help users interact with Slack "
        "using 6 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 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.

Google ADK natively supports Slack as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 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

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 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 to Google ADK via MCP

Follow these steps to integrate the Slack 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 6 tools from Slack via MCP

Why Use Google ADK with the Slack MCP Server

Google ADK provides unique advantages when paired with Slack 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

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 tools with BigQuery, Vertex AI, and Cloud Functions

Slack + Google ADK Use Cases

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

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

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

Automated compliance checks: schedule ADK agents to query Slack 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

Slack MCP Tools for Google ADK (6)

These 6 tools become available when you connect Slack to Google ADK 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 Google ADK

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

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

McpToolset not found

Update: pip install --upgrade google-adk

Slack + Google ADK FAQ

Common questions about integrating Slack 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.