ai systems / Engineering project
Headless SaaS & Agent Reach Probe
Public MCP service and Headless AI Resume with real agent telemetry
A live, stateless Model Context Protocol (MCP) server deployed to measure autonomous AI agent discovery and interaction. Provides a headless resume surface for recruiter agents and crawlers, with cryptographic telemetry separating passive web crawlers from configured MCP client tool calls.
Project status: Live in Production (candidate-reported).
You can inspect this application and call its public MCP tools directly.
Architecture & decisions
- Dual-channel Discovery: Measures passive web crawlers (llms.txt, robots.txt) vs configured MCP clients (/mcp).
- Stateless Streamable HTTP: Ephemeral McpServer per request with IP-hash client attribution.
- Agentic HR Tools: Role fit analysis, skill graph queries, and recruiter inquiry channels.
Technology
What to explore in a walkthrough
- Where the system runs today and which parts are production, development, or research.
- The architectural tradeoffs, failure modes, and tests behind these decisions.
- What AI agents contributed and how their output was reviewed.
- Operational evidence and measurable results available for review.
Project descriptions and experience are candidate-provided. This résumé's MCP tools are directly testable; other systems are available for an architecture walkthrough. Current and past employment positions and employers are private. Professional focus and target roles do not disclose a current job. Independent verification and references require direct contact.