How to Use the LiftedWork MCP in Claude Code

Run LiftedWork from your terminal with Claude Code to automate job application workflows.

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Connect LiftedWork MCP to Claude Code

Create your Vinkius account to connect LiftedWork 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 LiftedWork with Claude Code

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Script your job search with this MCP Server

Pipe the output of `list_tasks` into your own shell scripts. You can build automated alerts for upcoming deadlines directly in the terminal. This MCP Server provides the raw data you need for CI/CD pipelines. It connects your terminal environment to your employment database.

Create projects via Claude Code commands

Execute `create_project` from your terminal to bootstrap new job search campaigns. It is fast, efficient, and works within your existing workflow. You avoid the browser entirely. Just run the command and move to your next task.

Audit your time entries from the shell

Use `list_time_entries` to pull logs into your monitoring tools. You can track your time spent on applications across multiple sessions. It gives you granular control over your data. You can pipe the results into any processing tool you prefer.

Setup guide

Set up LiftedWork 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 liftedwork-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http liftedwork-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 LiftedWork 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": {
    "liftedwork-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LiftedWork. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LiftedWork MCP in Claude Code

Run the add command in your terminal with the required transport flags. Once added, you can call tools directly from the command line.

Yes, it is designed for terminal-only environments. You can automate your job search tasks using standard shell commands and scripts.

Your token is stored locally in your configuration file. We never send your credentials over unencrypted channels.

You can pass JSON arguments to the list tools to filter by project ID or status. This makes it easy to find exactly what you need.

We isolate your job application history on a dedicated server. Access requires a signed token that is validated on every single request.

Use it with your favorite AI tools

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

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