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.

Senior Backend Engineer, Sscs: Ai Governance at GitLab

Senior Backend Engineer, Sscs: Ai Governance

GitLab

Remote

Ruby on rails production experience

Python backend services for ai

Postgresql and clickhouse expertise

Build backend systems for AI governance in regulated enterprise organizations

Job Summary

Build backend systems for AI governance in regulated enterprise organizations.
Implement features for audit event pipelines, access control, MCP registry, and AI agent artifact storage.
Work on technical problems with meaningful scope and complexity in an async-first, remote environment.

Matching Summary

Build backend systems for AI governance in regulated enterprise organizations.

Skills & Requirements

Must-have

Ruby on Rails production experience
Python backend services for AI
PostgreSQL and ClickHouse expertise
REST or GraphQL API design
Authorization and access control
Enterprise governance concepts

Nice-to-have

Audit trails and telemetry
Event streaming and SIEM integrations
AI agent infrastructure knowledge
Large language models experience
Compliance and observability products

Key Requirements

Extensive backend application experience
Proficiency in Python
Extensive data-intensive database experience
Experience building APIs
Solid understanding of authorization
Familiarity with regulatory compliance

Work Rights

Not specified