INDIVIDUAL MCP TOOL

get_profile

Tal Ogen's professional profile: headline, summary, about, contact details (email, LinkedIn, GitHub), capability categories, and key strengths.

talogen.devnone authenticationAvailability not checked

LIVE ENDPOINT

https://talogen.dev/.well-known/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_profile and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

A tool name or description suggests sending messages.

Parent server

talogen.dev

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.tal-ogen-portfolio]
url = "https://talogen.dev/.well-known/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "tal-ogen-portfolio": {
      "type": "http",
      "url": "https://talogen.dev/.well-known/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: tal-ogen-portfolio
Remote MCP URL: https://talogen.dev/.well-known/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "tal-ogen-portfolio": {
      "url": "https://talogen.dev/.well-known/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "tal-ogen-portfolio": {
      "type": "http",
      "url": "https://talogen.dev/.well-known/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "tal-ogen-portfolio",
  "transport": "streamable-http",
  "url": "https://talogen.dev/.well-known/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

contact_recruiter — Send Tal Ogen a message about a role, opportunity, or question.
request_ai_opportunity_call — Submit a business problem or opportunity to Tal Ogen and request an AI Opportunity Call - the first of his three engagement stages (call → opportunity audit → pilot and implementation).
get_ai_transformation_services — Tal Ogen's AI transformation offer for small and medium businesses as structured data: positioning, the three engagement stages (AI Opportunity Call, AI Opportunity Audit, AI Pilot & Implementation), representative business problems he solves, capability pillars (AI Opportunity Discovery, AI Implementation, Adoption), what is not offered, how to engage, and pricing stance (not published).
analyze_business_problem — START HERE for any business workflow or operational problem.
suggest_ai_opportunities — Describe a business (what it does, how it runs day to day, optionally a list of workflows) and get a ranked list of AI and automation opportunities with expected value, implementation difficulty, human-in-the-loop notes, and a suggested first pilot.
assess_automation_candidate — Assess one recurring task: scores for repetitiveness, rules-vs-judgment, input consistency, data availability, and risk tolerance, a verdict (automate / assist / not_yet), the human-in-the-loop design, and - when frequency and minutes_per_occurrence are given - an indicative hours-saved-per-month estimate.
estimate_ai_project_scope — Indicative scope for a described problem: size (small / medium / large) with its drivers, the phases with indicative durations, what the business needs to provide, and risks.
get_relevant_case_studies — Projects and agents ranked by relevance to a described problem and/or a capability (workflow automation, agent orchestration, operational problem solving, human-in-the-loop systems, API integrations, MCP/WebMCP, AI-enabled internal tools, rapid prototyping and deployment), with why each is relevant.