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.

Staff Backend Engineer, Ast: Composition Analysis at GitLab

Staff Backend Engineer, Ast: Composition Analysis

GitLab

Remote

$131,600—$282,000 usd; not specified; not specifie...

Remote

Software composition analysis expertise

Dependency scanning and container scanning

Backend technologies go and/or ruby on rails

As a Staff Engineer on GitLab's Software Composition Analysis team, you'll drive hands-on implementation of security features that help customers understand and manage risks in their software supply chain

Job Summary

As a Staff Engineer on GitLab's Software Composition Analysis team, you'll drive hands-on implementation of security features that help customers understand and manage risks in their software supply chain.
You'll work directly on technical implementation and help the team push forward on three core goals: Gather, Integrate, and Optimize.
The Software Composition Analysis team is part of GitLab's Sec Engineering group, and we focus on building capabilities that help customers identify and manage risks in their software supply chain.

Matching Summary

Salary

$131,600—$282,000 USD; Not specified; Not specified

Skills & Requirements

Must-have

Software Composition Analysis expertise
dependency scanning and container scanning
backend technologies Go and/or Ruby on Rails
technical tradeoffs in SCA
distributed, async-first teams

Nice-to-have

AI as a core productivity multiplier
continuous knowledge exchange
collaboration across security domain

Key Requirements

Hands-on experience in Software Composition Analysis
Deep hands-on expertise in building and evolving scanning capabilities
Ability to design solutions balancing complexity, performance, and maintainability
Ability to work effectively in distributed, async-first teams
Experience explaining complex technical and security concepts

Work Rights

Not specified