Slack MCP
Slack MCP bridges the gap between your team's communication hub and MCP tool servers. Instead of switching to a separate AI client to query data, your team invokes MCP tools directly from Slack channels and threads. @mention the bot, ask a question, and MCP tool results appear in the conversation for everyone to see.
MCP Tools Where Your Team Already Works
The biggest friction with AI tools is context switching. Slack MCP eliminates it. Your team asks questions in the channels they already use, and MCP tool results appear inline. No new app to install, no new interface to learn.
Thread-based queries keep conversations organized. Ask a follow-up in a thread, and the bot maintains context from previous tool calls. Results are visible to the entire team, creating a shared knowledge base.
Features:
- Channel integration — invoke MCP tools with @mentions in any channel
- Thread context — follow-up queries maintain conversation history
- Team visibility — tool results visible to everyone in the channel
- Slash commands —
/mcpcommands for quick tool access - No context switching — query data without leaving Slack
- Notifications — bot alerts when monitored MCP tools return specific results
Setup
1. Create a Token
In Vinkius Cloud, go to your server → Connection Tokens → Create. Copy the URL.
2. Configure the Bridge
Set up the MCP-Slack bridge with your Vinkius Cloud URL and Slack workspace credentials.
3. Use in Channels
@mention the bot in any channel to invoke MCP tools. Results appear inline.
FAQ
Can my entire team see MCP tool results? Yes. Tool results appear as messages in the channel or thread, visible to all participants.
Do threads maintain MCP context? Yes. Follow-up questions in a thread reference previous tool calls for coherent conversations.
Can I restrict MCP access to specific channels? Yes. Configure the bot to respond only in designated channels.
Is Slack MCP official? It is a community integration that connects Slack's bot API with MCP tool servers.