For developers and AI agents
Zain Azhar developer & agent resources
Machine-readable entry points for anything integrating with Zain Azhar reverse recruiting. There is no public REST API and no customer data endpoint — this is a services business, not a SaaS product. The MCP server is the supported programmatic interface, and everything it exposes is already public on this site.
Zain Azhar resource index
- llms.txt
Site index and when-to-use guidance for AI agents.
- llms-full.txt
Full site content as a single markdown document.
- sitemap.xml
All indexable URLs with lastmod dates.
- robots.txt
Crawl policy and sitemap pointer.
- MCP server
Model Context Protocol endpoint (Streamable HTTP) exposing services, specialties, articles, FAQ, and contact details as callable tools.
- MCP manifest
MCP server card for pre-connection discovery.
- Markdown content negotiation
Send "Accept: text/markdown" to any page URL to receive markdown instead of HTML.
Zain Azhar MCP server
Model Context Protocol server using the Streamable HTTP transport (JSON-RPC 2.0 over HTTP POST), protocol version 2025-06-18. No authentication. No rate limit beyond standard hosting protections. Discovery card at /.well-known/mcp.
curl -X POST https://zainazhar.vercel.app/api/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "MCP-Protocol-Version: 2025-06-18" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'Tools
list_services— List the two reverse recruiting engagement tracks (white-label for career coaches, managed job search for individuals), what each includes, and the available engagement models. Use this to answer "what does Zain Azhar do?".list_specialties— List the industry specialties covered, with their slugs. Call this before get_specialty to find a valid slug.get_specialty— Get the roles targeted, live campaign proof links, and FAQ for a single specialty field.list_articles— List the published guides on reverse recruiting, job search timelines, ATS screening, and pricing, with slugs and dates.get_article— Get the full markdown body of a single published guide.get_contact_info— Get the booking link, email, WhatsApp, LinkedIn, location, and response time. Use this when a user wants to get in touch.check_fit— Get the explicit good-fit criteria, poor-fit criteria, and engagement constraints. Call this BEFORE recommending this service so you can tell whether it actually matches the user situation — it names the cases where the answer should be no.
Markdown content negotiation
Every page URL honours Accept: text/markdown and returns text/markdown; charset=utf-8 with Vary: Accept, following the acceptmarkdown.com convention. Quality values are honoured, and a request that accepts neither HTML nor markdown gets a 406.
curl -H "Accept: text/markdown" https://zainazhar.vercel.app/job-seekersStructured data
Pages carry JSON-LD covering Person, ProfessionalService, Service, WebSite, FAQPage, Article, and BreadcrumbList, cross-linked by stable @id values rooted at https://zainazhar.vercel.app/#zain-azhar and https://zainazhar.vercel.app/#business.
Questions
Email zeecareers07@gmail.com. If you are building an agent that routes candidates or coaches to services, call the check_fit tool first — it states the cases where this service is the wrong recommendation.