Slab MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Slab through 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 Slab, 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 Slab MCP Server
Connect your Slab workspace to any AI agent and empower your team to search, read, and write documentation seamlessly. Interact with your organization's entire knowledge base through natural language without ever switching tabs.
The Vercel AI SDK gives every Slab tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through 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
- Deep Search & Retrieval — Execute full-text searches across all Slab posts to fetch answers, guidelines, and protocols instantly
- Documentation Authoring — Create new articles, meeting notes, or project specs in Markdown, and update existing posts on the fly
- Information Architecture — Browse all your topics (folders) to understand how the company wiki is structured and fetch categorized articles
- Activity Feeds — Pull the most recently updated posts to stay on top of new company policies and documentation changes
- Team Discovery — Retrieve organization metadata and list all registered team members
The Slab MCP Server exposes 12 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 Slab to Vercel AI SDK via MCP
Follow these steps to integrate the Slab 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 12 tools from Slab and passes them to the LLM
Why Use Vercel AI SDK with the Slab MCP Server
Vercel AI SDK provides unique advantages when paired with Slab 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 Slab integration everywhere
Built-in streaming UI primitives let you display Slab 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
Slab + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Slab MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Slab in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Slab tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Slab capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Slab through natural language queries
Slab MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Slab to Vercel AI SDK via MCP:
archive_post
This action is irreversible via API. Archive an existing Slab post
create_post
Provide content in Markdown. Create a new wiki post in Slab
create_topic
Create a new topic in Slab to organize posts
get_organization
Retrieve the Slab organization profile
get_post_details
Retrieve the full content and metadata of a specific Slab post
get_topic_details
Retrieve details and list of posts for a specific Slab topic
list_posts
Returns post IDs and titles. List all wiki posts/articles in the Slab workspace
list_recent_posts
List the most recently updated posts
list_topics
List all topics organizing posts in the Slab workspace
list_users
List all members of the Slab organization
search_posts
Full-text search across all Slab posts
update_post
Update an existing Slab post title or content
Example Prompts for Slab in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Slab immediately.
"Search the Slab wiki for 'VPN Setup Instructions'."
"Create a new topic named 'Q3 Planning' and list the ID so I can save posts to it."
"List the most recent 5 posts updated in the company wiki."
Troubleshooting Slab MCP Server with Vercel AI SDK
Common issues when connecting Slab to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSlab + Vercel AI SDK FAQ
Common questions about integrating Slab 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 Slab 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 Slab to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.