Workopia is a free MCP server that provides AI-powered job search, resume building, and career advice. It works with Claude Desktop, ChatGPT, OpenClaw, Cursor, and any MCP-compatible AI assistant. Jobs are sourced directly from employer career pages, not scraped from job boards.

How do I add Workopia to Claude Desktop?

Open Claude Desktop, go to Settings, then MCP Servers, and click Add Server. Enter the URL: https://workopia.io/api/mcp-gpt. No API key is needed. You can then search jobs, build resumes, and get career advice directly in your Claude conversations.

Yes, Workopia is completely free to use. No subscription, no payment, and no login required. Job search and career advice are unlimited. Resume generation is rate-limited to 20 per hour per user to prevent abuse.

Where does Workopia get its job data?

Workopia sources jobs directly from employer career pages and ATS feeds such as Lever. It does not scrape LinkedIn, Indeed, SEEK, or other job boards. Every job listing links to the official employer posting.

Does Workopia store my resume?

No. Resume content submitted via MCP is processed in-memory for PDF generation and discarded after the response. No copies are saved server-side. Workopia does not store conversation history, personal information, or user identity from MCP interactions.

What AI platforms does Workopia work with?

Workopia works with any MCP-compatible AI client, including Claude Desktop, Claude Code, ChatGPT, OpenClaw (which supports Slack, Discord, WhatsApp, Telegram, and more), Cursor, Windsurf, and JetBrains IDEs. Just add the endpoint URL: https://workopia.io/api/mcp-gpt.

Customer Success Engineer, Emea at ReworkTimes

Customer Success Engineer, Emea

ReworkTimes

Remote

Experience with gitlab use case

Proficiency using devsecops tools

Technical experience in development

The Customer Success Engineer role provides deep subject matter expertise on GitLab technical and product solutions

Job Summary

The Customer Success Engineer role provides deep subject matter expertise on GitLab technical and product solutions.
CSEs engage with customers in a technical consultancy role during the post-sales process.
GitLab embraces AI as a core productivity multiplier, driving innovation and efficiency.

Matching Summary

The Customer Success Engineer role provides deep subject matter expertise on GitLab technical and product solutions.

Skills & Requirements

Must-have

Experience with GitLab use case
Proficiency using DevSecOps tools
Technical experience in development

Nice-to-have

Exceptional verbal and written communication skills
Ability to work with different teams
Focus on personal mastery and team learning

Key Requirements

Fluent German
Demonstrated capacity to communicate complex problems
Ability to become a trusted technical advisor

Work Rights

Not specified