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Slack MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Check Connection, Get Channel Details, Get Channel History, and more

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Slack through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Slack app connector for Mastra AI 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

typescript
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-alternative": {
        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 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Slack?"
  );
  console.log(result.text);
}

main();
Slack
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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

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.

Mastra's agent abstraction provides a clean separation between LLM logic and Slack tool infrastructure. Connect 11 tools through 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

  • 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 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.

All 11 Slack tools available for Mastra AI

When Mastra AI 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.

check_connection

Verify API access

get_channel_details

Get metadata for a channel

get_channel_history

List recent messages

get_user_presence

Check if a user is online

get_user_profile

Get details for a user

list_channels

List public channels

list_pins

List all pinned messages in a channel

list_reactions

Get reactions on a specific message

list_users

List workspace members

search_messages

Search for messages

send_message

Send a message to a channel

Connect Slack to Mastra AI via MCP

Follow these steps to wire Slack into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 11 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.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Slack without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Slack tool response with IDE autocomplete and compile-time checks

04

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.

01

Automated workflows: build multi-step agents that query Slack, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Slack as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Slack on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Slack tools alongside other MCP servers

Example Prompts for Slack in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Slack immediately.

01

"Post an update to the #general channel: 'The new feature is live!'."

02

"Show me the activity summary for all channels with message volumes and active participants this week."

03

"Post a message to the #engineering channel announcing the deployment freeze for next week."

Troubleshooting Slack MCP Server with Mastra AI

Common issues when connecting Slack to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Slack + Mastra AI FAQ

Common questions about integrating Slack MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.