How to Use the Skalin MCP in Mastra AI

Q: What kind of Skalin tasks can I automate?

You can build processes around listcstasks and modifying those tasks using updatecstask. This is ideal for automated success management workflows within Skalin.

Q: If I use Mastra AI, can it manage Skalin onboarding?

You can automate the full onboarding flow. Start with createcsaccount, then immediately run checks like getapistatus to confirm the account is fully ready.

Build Resilient Multi-Step Skalin Workflows with Mastra AI.

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…and any MCP-compatible client

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Connect Skalin MCP to Mastra AI

Create your Vinkius account to connect Skalin to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Skalin with Mastra AI

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Automate account creation and validation

The `create_cs_account` tool lets you build a multi-step workflow: first, call this tool to create the new Skalin account. Then, use `get_api_status` immediately after to ensure connectivity is established. If that fails, your workflow can automatically retry or transition to notifying an admin via `list_success_managers`.

Handle complex account reporting cycles

You can chain together several checks. Start by getting the overall health with `get_account_health`. If the status is flagged, your workflow automatically runs `list_cs_alerts` to pull the specific incident reports. Later in the cycle, you might run `get_account_metrics` and then use that data to trigger a follow-up task via `update_cs_task`.

Maintain audit trails for account changes

Need proof of who did what? The workflow can call `list_account_interactions` to gather the entire history. It also uses `log_interaction` every time a key action occurs, building an unmissable record. If you're managing many accounts, running `list_cs_accounts` first helps scope exactly which records need auditing before logging anything.

Setup guide

Set up Skalin MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Skalin tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "skalin-mcp-client",
  servers: {
    "skalin-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Skalin Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Skalin tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Skalin transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Skalin. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Skalin MCP in Mastra AI

Mastra handles the stateful execution of your workflow. It tracks every step, including retries and conditional branches, ensuring that complex operations on Skalin don't fail halfway through.

You can build processes around `list_cs_tasks` and modifying those tasks using `update_cs_task`. This is ideal for automated success management workflows within Skalin.

Yes. You can use the built-in workflow engine to watch for specific conditions, trigger `list_cs_alerts`, and then automatically notify a manager listed via `list_success_managers`.

This server touches account metadata, including customer accounts (`list_cs_accounts`), contacts (`list_account_contacts`), and operational logs (`list_account_interactions`).

You can automate the full onboarding flow. Start with `create_cs_account`, then immediately run checks like `get_api_status` to confirm the account is fully ready.

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