How to Use the Workable MCP in Mastra AI

Q: How do I manage job listings using Workable and Mastra AI?

You use the listjobs tool. Because this is a workflow engine, if you need to update or act on those jobs (like assigning them), it handles the failure cases gracefully.

Q: Can I get candidate profiles using Workable and Mastra AI?

Absolutely. Running getcandidateprofile pulls the data, and the Mastra AI framework lets you wrap that retrieval in a multi-step workflow. It's built for reliable execution.

Q: What tools can I use to list all candidates with Workable and Mastra AI?

You call listallcandidates. Since this is part of a complex workflow, the framework ensures that even if one connection drops, the whole operation tries again.

Build complex hiring workflows with Mastra AI using the Workable MCP Server.

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…and any MCP-compatible client

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Connect Workable MCP to Mastra AI

Create your Vinkius account to connect Workable to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Workable with Mastra AI

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Perplexity

Automate candidate onboarding steps.

When a job is filled, you can trigger a multi-step process. Use `create_candidate` to register new hires in one command. If something fails—like an email address being invalid—the workflow retries or notifies an admin. This handles the messiness of real business processes automatically, so you don't have to code failure logic yourself.

Get job details and run conditional checks.

A candidate is interested in a specific role. Your agent calls `get_job_details`. The workflow can then check if the required skills match what's stored, running different actions based on that result. It’s powerful because it doesn't just run; it thinks about failure and success paths.

View all current job openings across systems.

Need a list of what roles are open? The `list_jobs` tool grabs every active opening. You can then feed that list into a subsequent workflow step, like assigning it to the right hiring manager. This moves beyond simple data retrieval; you're setting up an actionable process.

Setup guide

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

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

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

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Common questions about Workable MCP in Mastra AI

You use the `list_jobs` tool. Because this is a workflow engine, if you need to update or act on those jobs (like assigning them), it handles the failure cases gracefully.

Absolutely. Running `get_candidate_profile` pulls the data, and the Mastra AI framework lets you wrap that retrieval in a multi-step workflow. It's built for reliable execution.

You call `list_all_candidates`. Since this is part of a complex workflow, the framework ensures that even if one connection drops, the whole operation tries again.

No. The system automatically handles retries and failure detection for operations like `list_account_members`, giving you confidence in your workflow's reliability.

This Workable MCP Server handles structured recruitment and talent pipeline data, including job openings and applicant profiles. The Mastra AI framework lets you build complex actions around that data.

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