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Vinkius

Slab MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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: {
      "slab": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Slab Agent",
    instructions:
      "You help users interact with Slab " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Slab
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Slab tool infrastructure. Connect 12 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

  • 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 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 Slab to Mastra AI via MCP

Follow these steps to integrate the Slab MCP Server with Mastra AI.

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 12 tools from Slab via MCP

Why Use Mastra AI with the Slab MCP Server

Mastra AI provides unique advantages when paired with Slab through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Slab 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 Slab 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

Slab + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Slab MCP Server delivers measurable value.

01

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

02

SaaS integrations: embed Slab 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 Slab on a cron and store results in your database automatically

04

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

Slab MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Slab to Mastra AI via MCP:

01

archive_post

This action is irreversible via API. Archive an existing Slab post

02

create_post

Provide content in Markdown. Create a new wiki post in Slab

03

create_topic

Create a new topic in Slab to organize posts

04

get_organization

Retrieve the Slab organization profile

05

get_post_details

Retrieve the full content and metadata of a specific Slab post

06

get_topic_details

Retrieve details and list of posts for a specific Slab topic

07

list_posts

Returns post IDs and titles. List all wiki posts/articles in the Slab workspace

08

list_recent_posts

List the most recently updated posts

09

list_topics

List all topics organizing posts in the Slab workspace

10

list_users

List all members of the Slab organization

11

search_posts

Full-text search across all Slab posts

12

update_post

Update an existing Slab post title or content

Example Prompts for Slab in Mastra AI

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

01

"Search the Slab wiki for 'VPN Setup Instructions'."

02

"Create a new topic named 'Q3 Planning' and list the ID so I can save posts to it."

03

"List the most recent 5 posts updated in the company wiki."

Troubleshooting Slab MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Slab + Mastra AI FAQ

Common questions about integrating Slab 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.

Connect Slab to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.