INDIVIDUAL MCP TOOL

ask

Ask anything about Alican Torun, his work, how he builds, or his services.

alicantorun.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://alicantorun.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for ask 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

alicantorun.com

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.alican-torun]
url = "https://alicantorun.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "alican-torun": {
      "type": "http",
      "url": "https://alicantorun.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: alican-torun
Remote MCP URL: https://alicantorun.com/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": {
    "alican-torun": {
      "url": "https://alicantorun.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "alican-torun": {
      "type": "http",
      "url": "https://alicantorun.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "alican-torun",
  "transport": "streamable-http",
  "url": "https://alicantorun.com/mcp"
}

MCP Inspector

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

Related tools

search_work — Search Alican's case studies and projects by free text or by a tag/technology.
get_capabilities — What Alican does, by service pillar: Build (production software), Advise (architecture and strategy), Empower (agentic AI built into products).
get_drill_scenario — Return one of Alican's 24 agentic AI architecture scenarios (question, answer, tools, key points).
get_architecture — Return one of Alican's production architecture patterns as structured, actionable guidance: the failure it prevents, the runtime pipeline stage by stage, the gate and routing rules, the stack, and what it is and is not for.
get_hardening_recipe — Return the concrete checks Alican Torun runs against a real codebase, the method underneath the Trust Audit rubric: for each of the eight trust principles, the questions he puts to the repository, what a passing answer looks like, the anti-pattern he is looking for, and where to look.
trust_audit — Return Alican Torun's opinionated Trust Audit: the principles an AI or software system is judged against to decide whether it can be trusted in production (own your context, grounded-or-it-doesn't-answer, untrusted-content-is-not-instructions, the-agent-proposes-a-human-decides, two-layer isolation, API-first validated boundary, bounded-by-design, observability), each with its stance and the anti-pattern it prevents, plus how the audit works.
check_fit — Describe what you are building and what you need.
get_contact — Returns the way to start a conversation with Alican: the booking link, his email, and the short intake he likes.