How to Use the Workable MCP in Cursor

Q: How does Cursor use Workable via this MCP Server?

In Agent mode, the AI calls tools like listallcandidates. It then takes those live API results and injects them directly into the code block you're writing. You see real data in your script.

Q: Can I list all Workable jobs openings using Cursor?

Yes. The agent can call listjobs and write code that iterates over the resulting job IDs, allowing you to build out a comprehensive data structure in your project.

Q: What setup is needed for Workable with Cursor?

You create or update the .cursor/mcp.json file—either in the project root or globally—and make sure the server is listed under mcpServers. You then enable Agent mode.

Stop context switching. Workable data flows directly into your code when using Cursor.

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Connect Workable MCP to Cursor

Create your Vinkius account to connect Workable to Cursor 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 Cursor

Ask AI about this MCP

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Claude

Perplexity

Use candidate data in your writing

Need to write a script that targets specific candidates? Your AI agent can call `get_candidate_profile` and inject the real name, skills, or job history directly into the code you're drafting. No more mock stubs. You get live context without ever leaving Cursor. It makes writing specialized data handlers way faster.

Track all active jobs in your codebase

To build a job listing dashboard, start by getting the list of open roles using `list_jobs`. The agent calls this tool and uses the returned Job IDs to structure your output code. This is perfect for creating endpoints that need to query specific roles. You're writing functional code that relies on the real API response from Workable.

Manage team membership in Cursor

If you’re building internal tools, you might need to know who is on the hiring committee. The `list_account_members` tool pulls that data so your agent can build out permission checks or user directories. It's all about generating code that works with actual API responses—you don't want mock data when dealing with real team structures.

Setup guide

Set up Workable MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Workable MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Workable transactions." If the MCP tools are loaded correctly, Cursor will call the Workable tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "workable-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 Workable. 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 Workable MCP in Cursor

In Agent mode, the AI calls tools like `list_all_candidates`. It then takes those live API results and injects them directly into the code block you're writing. You see real data in your script.

You can write scripts that process candidate records, build job filters, or map team members based on the output from tools like `get_candidate_profile`. It's ideal for backend logic.

Yes. The agent can call `list_jobs` and write code that iterates over the resulting job IDs, allowing you to build out a comprehensive data structure in your project.

You create or update the `.cursor/mcp.json` file—either in the project root or globally—and make sure the server is listed under `mcpServers`. You then enable Agent mode.

You're dealing with structured recruitment data: candidate profiles, job details, and account membership lists. The agent uses these to generate strongly typed code blocks in your editor.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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