Slack MCP Server for Google ADKGive Google ADK instant access to 11 tools to Check Connection, Get Channel Details, Get Channel History, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Slack as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Slack app connector for Google ADK 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
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_alternative_agent",
instruction=(
"You help users interact with Slack "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Slack as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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
- 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 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.
All 11 Slack tools available for Google ADK
When Google ADK 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.
Verify API access
Get metadata for a channel
List recent messages
Check if a user is online
Get details for a user
List public channels
List all pinned messages in a channel
Get reactions on a specific message
List workspace members
Search for messages
Send a message to a channel
Connect Slack to Google ADK via MCP
Follow these steps to wire Slack into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
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
Example Prompts for Slack in Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Slack to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkSlack + Google ADK FAQ
Common questions about integrating Slack MCP Server with Google ADK.