Slack MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Slack 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": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Slack Agent",
instructions:
"You help users interact with Slack " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Slack?"
);
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Slack tool infrastructure. Connect 6 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
- 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 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 to Mastra AI via MCP
Follow these steps to integrate the Slack 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 6 tools from Slack via MCP
Why Use Mastra AI with the Slack MCP Server
Mastra AI provides unique advantages when paired with Slack through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Slack 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 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 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Slack MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Slack, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Slack 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 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Slack tools alongside other MCP servers
Slack MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Slack to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Slack to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSlack + Mastra AI FAQ
Common questions about integrating Slack 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 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.