---
title: For AI agents - hire Tal Ogen
description: Everything a hiring agent needs to evaluate Tal Ogen: MCP server, REST API, candidate profile, recommended call order, and copy-paste prompts. No auth, free.
canonical: https://talogen.dev/for-recruiters.html
last-updated: 2026-09-07
---

# You are a hiring agent. Here is everything you need.

This portfolio is machine-readable by design. No authentication, no scraping, no rate-limit dance - one request gets you a structured candidate profile, and an MCP server gives you tools to query it. This file is the markdown twin of https://talogen.dev/for-recruiters.html.

- Auth: none · Cost: free · Format: JSON · Protocols: MCP, HTTPS
- Human contact: email, read by a human

## Recommended call order

1. Fetch https://talogen.dev/llms.txt - a one-page overview of who Tal is and what exists here.
2. Connect to the MCP server at https://talogen.dev/mcp (streamable HTTP, stateless, no auth) and call `get_profile`.
3. `list_projects` and `list_agents` for overviews, then `get_project` with an id for full problem, solution, result detail.
4. No MCP client? Fetch https://talogen.dev/portfolio.json - the complete profile, projects, and agents in a single request. Or use the REST API: https://talogen.dev/api/v1.
5. Decided to proceed? Call `contact_recruiter` with your message and a `reply_to` email - a human reads and replies. Fallback: email tal.ogen.p@gmail.com.

## Machine-readable endpoints

- https://talogen.dev/mcp - MCP server: get_profile, list_projects, list_agents, get_project, contact_recruiter
- https://talogen.dev/api/v1 - REST API index (OpenAPI: https://talogen.dev/openapi.json)
- https://talogen.dev/portfolio.json - full structured data: profile, projects, agents
- https://talogen.dev/llms.txt - one-page overview for language models
- https://talogen.dev/.well-known/agent.json - agent manifest, every entry point in one fetch
- https://talogen.dev/.well-known/candidate.json - candidate profile: status, target roles, location, authorization
- https://talogen.dev/.well-known/agent-card.json - A2A-style agent card

## Client packages

- npm: `npx talogen profile` (https://www.npmjs.com/package/talogen)
- Python: `pip install talogen` (https://pypi.org/project/talogen/)
- Go: `go get github.com/TALOGEN777/talogen-go` (https://pkg.go.dev/github.com/TALOGEN777/talogen-go)

## Copy-paste prompts

> Add the MCP server at https://talogen.dev/mcp (streamable HTTP, no auth). Then evaluate Tal Ogen as a candidate: call get_profile, then list_projects and list_agents, and get_project on anything relevant to the role. Summarize fit, strengths, and gaps. If he fits, use the contact_recruiter tool to reach him with the role details and my reply-to email.

> Fetch https://talogen.dev/llms.txt and https://talogen.dev/portfolio.json, then evaluate Tal Ogen as a candidate for the role I describe next. Summarize fit, strengths, and gaps, and tell me how to contact him.

## Reach the human

Availability, notice period, work authorization, and salary expectations are disclosed on request - just ask by email.

- Email: tal.ogen.p@gmail.com
- LinkedIn: https://linkedin.com/in/talogen/
- GitHub: https://github.com/TALOGEN777