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 at GitLab

Customer Success Engineer

GitLab

Remote

Not specified; not specified; flexible pyid time o...

Remote

Devsecops tool proficiency

Source code management experience

Continuous integration delivery knowledge

GitLab is seeking a Customer Success Engineer to provide technical expertise and support customers in realizing value from their products post-sale. This remote position emphasizes collaboration in a pooled support model, focusing on customer engagement and technical guidance across various use cases in DevSecOps

Job Summary

This role supports GitLab's On-Demand Success Tier by providing technical product expertise and best practice guidance to customers post-sale.
The position operates in a pooled model where the engineer collaborates with Customer Success Managers and Account Executives across various accounts rather than being dedicated to specific ones.
GitLab embraces AI as a core productivity multiplier and expects all team members to incorporate it into their daily workflows to drive efficiency and innovation.

Matching Summary

Match Score: 85

Salary

Not specified; Not specified; Flexible Paid Time Off, Equity Compensation, Growth and Development Fund

Skills & Requirements

Must-have

DevSecOps tool proficiency
Source code management experience
Continuous integration delivery knowledge
Technical architecture guidance
Post-sales customer support

Nice-to-have

AI workflow integration mindset
Reusable workshop creation skills
Cross-functional collaboration ability
Asynchronous communication style
Trusted advisor relationship building

Key Requirements

Experience supporting GitLab use cases
Background in software development or systems engineering
Ability to communicate complex technical topics clearly
Experience operating as a trusted technical advisor
Strong time management and prioritization skills

Work Rights

Not specified