Slack Bot MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Slack Bot through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"slack-bot": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Slack Bot Agent",
instructions:
"You help users interact with Slack Bot " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Slack Bot?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Slack Bot tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Slack Bot MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Slack Bot via MCP
Why Use Mastra AI with the Slack Bot MCP Server
Mastra AI provides unique advantages when paired with Slack Bot through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Slack Bot without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Slack Bot tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Slack Bot + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Slack Bot MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Slack Bot, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Slack Bot as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Slack Bot on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Slack Bot tools alongside other MCP servers
Slack Bot MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Slack Bot to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Slack Bot to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSlack Bot + Mastra AI FAQ
Common questions about integrating Slack Bot MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Slack Bot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Slack Bot to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.