The open standard for | OJCP defines how AI agents discover, reason over, and act on job opportunities. Built on MCP. Interoperable with schema.org. Governed by an independent steering committee , and designed to compose with the broader agentic web. Why OJCP Built for the agentic web A shared protocol so AI agents and job providers speak the same language — structured, discoverable, privacy-respecting. MCP-Native Tools OJCP tools are valid MCP tools. Any MCP client can call search_jobs, get_job_detail, and begin_application out of the box. Structured Discovery Providers expose a manifest at /.well-known/ojcp.json. Agents discover capabilities, tools, and apply paths automatically. Normalized Apply Paths A standard taxonomy of application mechanisms — from ATS-direct to agent-ready flows — so agents know exactly how to apply. Consent-First Privacy Candidate data is opt-in and scoped. Resume embeddings enable fit-scoring without transmitting PII. Agents self-declare identity.…