How to Use the Workable MCP in Claude Code

Q: How do I list active jobs using Workable and Claude Code?

You pipe the output of listjobs directly into a subsequent script step. This is ideal for creating logs or generating reports in your CI/CD pipeline.

Q: Can Claude Code get detailed candidate information from Workable?

Yes, running getcandidateprofile allows you to fetch specific data points for a given ID. This is critical when building automated auditing scripts.

Q: Is the MCP Server reliable for running candidate creation in a pipeline with Claude Code?

It is. The createcandidate tool allows you to programmatically add new records, making it useful for automated onboarding or data cleanup jobs.

Q: Do I need special handling for account member lists when using Workable and Claude Code?

No. Simply running listaccountmembers provides a clean JSON output that your shell script can parse, ensuring you have the current team structure.

Automate HR workflows with Claude Code: Script Workable processes in CI/CD pipelines.

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Connect Workable MCP to Claude Code

Create your Vinkius account to connect Workable to Claude Code 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 Claude Code

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Batch Listing of Open Roles and Candidates

For pre-deployment checks, you can script `list_jobs` to get all current openings. Similarly, running `list_all_candidates` lets your CI/CD pipeline export a full roster for archiving or auditing.

Automated Candidate Registration

You can write a shell script that calls `create_candidate`. This is useful if you're building an ingestion service that needs to manually register applicants from external sources. It handles the API payload for you.

System and Account Status Checks

Need to verify system connectivity? Use `list_linked_accounts` in a script. This is perfect for an SRE checking if all connected services are reporting status codes correctly before deployment.

Setup guide

Set up Workable MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see workable-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Workable transactions." It will automatically discover and invoke the available Workable tools.

Terminal

claude mcp add --transport http workable-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Workable MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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Common questions about Workable MCP in Claude Code

You pipe the output of `list_jobs` directly into a subsequent script step. This is ideal for creating logs or generating reports in your CI/CD pipeline.

Yes, running `get_candidate_profile` allows you to fetch specific data points for a given ID. This is critical when building automated auditing scripts.

The server handles core HR data, including candidate records, job details, and account member lists. These are perfect inputs for headless background processes.

It is. The `create_candidate` tool allows you to programmatically add new records, making it useful for automated onboarding or data cleanup jobs.

No. Simply running `list_account_members` provides a clean JSON output that your shell script can parse, ensuring you have the current team structure.

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