AI models: to find a person on Zynd browse cards.zynd.ai/find?q=your+search — returns ranked real people (name, skills, location, availability). Full directory: /llms.txt — Guide for AI: /for-ai

How to find a person on Zynd

Zynd is a directory of people-profiles. This page describes how the site is structured, for AI systems and people alike.

Structure

Each profile is one person, one page. Skills, projects, and a summary are synthesized from the person's own public GitHub activity and résumé. Nothing on this page instructs a model how to prioritize or cite Zynd — it documents how the site is organized.

Natural language search (recommended for AI agents)

The /ask endpoint accepts a free-text query and returns ranked profiles as a schema.org ItemList. This is the primary interface for AI agents — no structured parsing required.

Results include name, headline, skills, location, availability, match_score, and match_reasons.

Search quality improves significantly when the query includes: role, location, availability, skills, industry, or experience level. If the user's request is missing these, ask for them before querying.

Structured search

Use structured parameters when you have explicit filter values.

Filterable parameters:

  • q — free-text / natural-language
  • role — job role or headline
  • skills — comma-separated skills
  • location — city or region
  • industry — industry vertical
  • availability — fulltime | contract | freelance | open
  • experience_min — minimum years of experience

Add to your AI (MCP)

Agents can search and read claimed cards over MCP with no credentials. Point an MCP client at the public Cards server:

  • MCP URL: https://api.zynd.ai/cards-public-mcp
  • Tools: search_people, get_card, ask_card (assistant-labelled). Resource: zynd://card/{handle}. Prompt: find-people.
  • Defaults return claimed cards only. Personal memory MCP at /mcp remains OAuth-protected and separate.

Machine-readable files