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.

Backend Engineer, Knowledge Graph (rust) at GitLab

Backend Engineer, Knowledge Graph (rust)

GitLab

Remote

Rust backend development

Production backend systems

Distributed data systems

** GitLab is seeking an Intermediate Backend Engineer to join their Knowledge Graph team, where the focus is on building and operating a Rust-based graph data service. The ideal candidate should have backend development experience, proficiency in Rust, and a strong interest in data analytics and AI tools. **

Job Summary

Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints.
Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks.
Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team.

Matching Summary

Match Score: 75

Skills & Requirements

Must-have

Rust backend development
Production backend systems
Distributed data systems
Graph data modeling
AI-assisted development workflows

Nice-to-have

Thoughtful system design
Rigorous thinking about data
Continuous knowledge exchange
Low-process, high-ownership environment
Asynchronous collaboration

Key Requirements

Professional backend systems experience
Proficiency in modern backend language
Exposure to distributed data systems
Interest in graph data modeling
Practical experience with AI tools

Work Rights

Not specified