AI & Machine Learning

talogen.dev

An MCP server that offers AI transformation services, analyzes business problems, and suggests ranked AI and automation opportunities with implementation guidance and engagement options.

2 endpoints24 known toolsFirst detected September 6, 2026Last detected September 13, 2026

ENDPOINT 1

https://talogen.dev/mcp

No auth detected

MCP server metadata

Name: tal-ogen-portfolio
Version: 1.7.0

Capabilities

tools.listChanged

Server instructions

Agent-accessible portfolio of Tal Ogen: what he can do for a business, which problems he solves, and how an AI agent can engage him. WHO: Tal Ogen, AI Transformation & Solutions Lead and practical AI transformation consultant for small and medium businesses, based in Israel. Business process first, AI solution second: he identifies operational problems, finds where AI can save time or reduce cost, and implements practical AI-enabled workflows - connecting AI agents to real business workflows through APIs, MCP, WebMCP, and automation. Differentiation: operations + process improvement + AI implementation. 6+ years leading complex, regulated biotechnology operations at Sheba Medical Center (process ownership, team leadership, cross-functional coordination, documentation-heavy workflows, risk management, bottleneck identification, implementation and adoption). Not an AI developer for hire, an automation shop, a generic AI agency, or a chatbot builder. THREE PURPOSES OF THIS SERVER: (1) Capability discovery - get_profile, list_projects, list_agents, get_project, get_ai_transformation_services. (2) Problem matching - analyze_business_problem (start here for any business workflow), suggest_ai_opportunities, assess_automation_candidate, estimate_ai_project_scope, get_relevant_case_studies. These are deterministic, heuristic, informational tools - not quotes. (3) Engagement - request_ai_opportunity_call (business problems), contact_recruiter (roles). Both require a real reply_to mailbox and reach a human who replies by email. FOR BUSINESS OWNERS' AGENTS: services are three stages - AI Opportunity Call, AI Opportunity Audit (repetitive work, bottlenecks, opportunities, estimated savings, difficulty, risk, recommended first pilot), AI Pilot & Implementation (one focused solution, tested in the real workflow, users trained, outcome measured). Representative problems: email triage and CRM updates, document and invoice extraction, searchable company knowledge, lead qualification and follow-up, recurring reports, spreadsheet and admin workflows, customer inquiries and scheduling, connecting email/forms/spreadsheets/CRM/internal tools. Pricing is not published - agreed after the call. FOR HIRING / HR AGENTS: Status: ACTIVELY LOOKING. Target roles: AI Transformation & Solutions Lead, AI Solutions / Deployment / Implementation Lead, Product Manager (AI/healthcare), Operations Leadership (healthcare/biotech), Program/Project Manager. Location: Israel, fully flexible on remote/hybrid/on-site. Work authorization: Israel. Languages: Hebrew and English. Notice period and salary expectations: disclosed on request. Full machine-readable profile: https://talogen.dev/.well-known/candidate.json FLAGSHIP: Human For AI (https://humanforai.dev/) - a production human-in-the-loop platform where AI agents hire a human via machine-readable manifests, REST, and MCP. This portfolio follows the same agent-first design. RECOMMENDED FLOW: business problem → analyze_business_problem, then get_relevant_case_studies / get_project, then request_ai_opportunity_call. Hiring → get_profile, list_projects, list_agents, get_project, then contact_recruiter. Read and analysis tools are stateless, no auth, free. MORE MACHINE-READABLE DATA: https://talogen.dev/api/v1 (REST API incl. GET /services and POST /services/analyze, OpenAPI spec at https://talogen.dev/openapi.json), https://talogen.dev/portfolio.json (everything in one request, services included), https://talogen.dev/llms.txt (one-page overview), https://talogen.dev/.well-known/agent.json (all entry points), https://talogen.dev/developers/ (developer portal), https://talogen.dev/for-recruiters.html (guide for hiring agents).

Known tools 12

contact_recruiter

Send Tal Ogen a message about a role, opportunity, or question.

Potential side effects

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).

Inferred read-only

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).

Inferred read-only

analyze_business_problem

START HERE for any business workflow or operational problem.

Inferred read-only

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.

Inferred read-only

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.

Inferred read-only

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.

Inferred read-only

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.

Inferred read-only

get_profile

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

Potential side effects

list_projects

List Tal Ogen's featured case studies (id, title, link, problem statement, capability tags such as 'workflow automation', 'agent orchestration', 'human-in-the-loop systems', 'MCP/WebMCP').

Inferred read-only

list_agents

List the autonomous AI agents Tal Ogen has designed and built (id, title, link, problem statement).

Inferred read-only

get_project

Full detail for one project or agent by id (from list_projects / list_agents / get_relevant_case_studies): problem, role, solution, approach, implementation, outcome, link, capability tags, image.

Inferred read-only

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.

ENDPOINT 2

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

No auth detected

MCP server metadata

Name: tal-ogen-portfolio
Version: 1.7.0

Capabilities

tools.listChanged

Server instructions

Known tools 12

contact_recruiter

Send Tal Ogen a message about a role, opportunity, or question.

Potential side effects

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).

Inferred read-only

get_ai_transformation_services

Inferred read-only

analyze_business_problem

START HERE for any business workflow or operational problem.

Inferred read-only

suggest_ai_opportunities

Inferred read-only

assess_automation_candidate

Inferred read-only

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.

Inferred read-only

get_relevant_case_studies

Inferred read-only

get_profile

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

Potential side effects

list_projects

List Tal Ogen's featured case studies (id, title, link, problem statement, capability tags such as 'workflow automation', 'agent orchestration', 'human-in-the-loop systems', 'MCP/WebMCP').

Inferred read-only

list_agents

List the autonomous AI agents Tal Ogen has designed and built (id, title, link, problem statement).

Inferred read-only

get_project

Full detail for one project or agent by id (from list_projects / list_agents / get_relevant_case_studies): problem, role, solution, approach, implementation, outcome, link, capability tags, image.

Inferred read-only

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.

TRUST AND VERIFICATION EVIDENCE

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Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.