AskSakina Islamic Knowledge MCP server

AskSakina Islamic Knowledge MCP Server

Specialist-AI-reviewed Islamic knowledge for AI agents. Quranic verses, authenticated du'as, and the 99 Names of Allah — reviewed across the four mainstream Sunni schools (Hanafi, Maliki, Shafi'i, Hanbali) through AskSakina's structured specialist-AI review chain, which is not a substitute for a qualified scholar. Every response is wrapped in a presentation contract so agents cannot silently misrepresent the content.

Architectural posture: "AskSakina ships records, agents ship answers." The server is a reference library, not an advisor. Each response includes a sakinameta envelope with disclaimer, LLM directives, presentation contract, and educational context. What the calling agent does with the record is its responsibility — but every response arms the agent with enough structural context to make mishandling difficult and trackable.

What it provides

Three lookup tools and one canonical resource over the Model Context Protocol. Every record is sourced from AskSakina's main app (asksakina.com), so the MCP server can never drift from what the public app surfaces.

Tools

getquranverse

Verbatim Quranic verse lookup by surah:ayah. Returns the canonical AskSakina envelope with Arabic text, translation, surah name (Arabic + English), and the quran presentation contract — no paraphrasing, surah:ayah citation required, "Translation of the Meaning" labelling.

Parameters

Example response (truncated)

{
  "_sakina_meta": {
    "version": "1.0",
    "content_type": "quran_verse",
    "presentation_contract": {
      "quran": {
        "no_paraphrase": true,
        "require_citation": "surah:ayah",
        "translation_label": "Translation of the Meaning"
      }
    }
    /* … */
  },
  "content": {
    "surah": { "number": 2, "name_arabic": "البقرة", "name_english": "Al-Baqarah" },
    "ayah": 186,
    "arabic": "وَإِذَا سَأَلَكَ عِبَادِي عَنِّي فَإِنِّي قَرِيبٌ ۖ …",
    "translation": "And when My servants ask you concerning Me — indeed I am near. …"
  }
}

get_dua

Returns du'as matching a life context (anxiety, grief, morning, travel, etc.). Context is resolved against canonical category slugs, an alias map, and tag dimensions. If the context contains a crisis keyword (matched against the main app's detectCrisis keyword list), the response includes a mandatory crisisresource block** with the appropriate hotline and prosocial directive.

Parameters

Example response (truncated)

Shortened. The full README is on GitHub.