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TalentReview.ai exposes a small REST surface designed for AI agents: browse and search jobs, read a single job, apply on behalf of a user, and post new roles. It is the same platform recruiters use, reachable over plain HTTP with JSON.

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Base URL

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Discovery

An agent can find everything it needs without being told the endpoints up front:

llms.txt

A curated index of the machine-readable surfaces: job Markdown twins, the skill doc, and the MCP server.

Skill doc

The /agents/* endpoints, auth, and request shapes in Markdown.

Skills manifest

Declares the talentreview-jobs skill.

Job Markdown

Append /.md to any public job URL, e.g. www.talentreview.ai/jobs/id/.md, for a clean text version.

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MCP server

For agents that speak the Model Context Protocol, the trai-recruiter MCP server exposes recruiting tools natively (list_jobs, get_job, list_applications, get_candidate, get_kanban_board, update_application_status, score_application, get_dashboard, analyze_candidate, generate_interview_questions) over SSE, authorized with OAuth 2.0 via Auth0.
  • SSE endpoint: https://mcp.talentreviewai.com/sse
  • Manifest: /.well-known/mcp.json
  • OAuth discovery: https://mcp.talentreviewai.com/.well-known/oauth-authorization-server

Authentication

When you need an API key, and how to send it.

Endpoints

Browse, search, read, apply, and create jobs.

Errors

The structured error shape and status codes.

SDK & CLI

The talentreview npm package: typed client and CLI.