INDIVIDUAL MCP TOOL
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).
LIVE ENDPOINT
https://talogen.dev/mcp
Connect to this endpoint to inspect the live schema for get_ai_transformation_services and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
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/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"tal-ogen-portfolio": {
"type": "http",
"url": "https://talogen.dev/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: tal-ogen-portfolio
Remote MCP URL: https://talogen.dev/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/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"tal-ogen-portfolio": {
"type": "http",
"url": "https://talogen.dev/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "tal-ogen-portfolio",
"transport": "streamable-http",
"url": "https://talogen.dev/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).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.get_profile— Tal Ogen's professional profile: headline, summary, about, contact details (email, LinkedIn, GitHub), capability categories, and key strengths.