Slack MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Slack through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Slack, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Slack tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Slack MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from Slack and passes them to the LLM
Why Use Vercel AI SDK with the Slack MCP Server
Vercel AI SDK provides unique advantages when paired with Slack through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Slack integration everywhere
Built-in streaming UI primitives let you display Slack tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Slack + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Slack MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Slack in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Slack tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Slack capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Slack through natural language queries
Slack MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Slack to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Slack to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSlack + Vercel AI SDK FAQ
Common questions about integrating Slack MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.