How to Use the WorkOS MCP in Mastra AI

Q: Can I build multi-step workflows with WorkOS and Mastra AI?

Yes. You can chain tools together—for example, first using listworkosorganizations, then taking the result to call getssoconnectiondetails. This creates a structured, autonomous process.

Q: How do I check for all active SSO connections using WorkOS and Mastra AI?

You'll use listssoconnections. Within a Mastra AI workflow, you can then conditionally branch: 'If connection exists, verify its details; else, fail and notify.' This makes the process robust.

Q: Does WorkOS support listing all directory sync instances with Mastra AI?

Absolutely. The listdirectories tool lets you pull every active Directory Sync instance. You can then build a workflow that validates each listed directory against organizational policy.

Build robust, fault-tolerant IT workflows using WorkOS with Mastra AI's advanced agent framework.

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Setup WorkOS with Mastra AI

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Create New Organizations

Start a new record by invoking `create_workos_organization`. You just need to provide the organization name and the list of authorized domains. Mastra AI can build workflows around this creation step, ensuring subsequent actions only happen if the setup is successful. This lets you script multi-step processes, like 'Create Org -> Sync Users -> Verify SSO,' handling each stage sequentially.

Analyze Directory Groups

Need to know what groups are synced? Call `list_directory_groups` to get a full roster. Mastra AI can then build branching logic: 'If Group X exists, check its members; otherwise, notify the admin.' The built-in retry mechanism handles transient API failures automatically. This is critical for complex workflows that need guaranteed execution paths.

Retrieve Organization Details

Use `get_organization_details` when you need a complete snapshot of an existing organization. Mastra AI incorporates this step into a workflow, using the retrieved data to make subsequent decisions—like checking if SSO connection details are present. If the initial call fails, the system automatically backs off and tries again without human intervention.

Setup guide

Set up WorkOS 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 WorkOS 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: "workos-mcp-client",
  servers: {
    "workos-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent WorkOS 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 WorkOS. 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 WorkOS MCP in Mastra AI

Mastra AI manages failures using built-in exponential backoff. If a tool call like `list_directory_users` fails due to network issues, the system automatically retries the operation until it succeeds or exhausts its attempts.

Yes. You can chain tools together—for example, first using `list_workos_organizations`, then taking the result to call `get_sso_connection_details`. This creates a structured, autonomous process.

The server handles directory synchronization metadata, user lists, organization details, and SSO connection information. These are the core IT configuration datasets your workflows manage.

You'll use `list_sso_connections`. Within a Mastra AI workflow, you can then conditionally branch: 'If connection exists, verify its details; else, fail and notify.' This makes the process robust.

Absolutely. The `list_directories` tool lets you pull every active Directory Sync instance. You can then build a workflow that validates each listed directory against organizational policy.

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