🕌 Muslim Prayer Reminder MCP

Production-ready astronomical prayer calculation and proactive notification engine on Cloudflare Workers for AI models, coding agents, and developer environments.

Documentation • Live Demo (1080p) • Quick Start • Tools Catalog • Theological Rigor • Security Policy

Project Status: 🟢 Actively Maintained (v1.0.1)
Published by: Smart Creations (OpenAI Org: org-deULP4GGInsTcWmuaHWp3lxy) • Lead Maintainer: Tareq Naji
Supported across Cloudflare Workers, Node.js 22/24 (Ubuntu & Windows), and all Model Context Protocol (MCP) clients.

⚡ Quick Start

1. Run via NPX (Zero Installation)

Add to your Claude Desktop or Cursor MCP configuration:

{
  "mcpServers": {
    "muslim-prayer": {
      "command": "npx",
      "args": ["-y", "muslim-prayer-mcp"]
    }
  }
}

2. Connect via Remote Streamable HTTP (Cloudflare Workers)

{
  "mcpServers": {
    "muslim-prayer": {
      "url": "https://muslim-prayer-mcp.najetareqz.workers.dev/mcp"
    }
  }
}

3. 1-Click Install in Cursor

Analytics dashboard

/analytics is a private dashboard backed by a SQLite Durable Object (AnalyticsDO). It tracks active users (DAU, WAU, MAU), new vs returning users, retention, weekly cohorts, tool usage and health, errors, client mix, countries, languages, usage by local hour, and the calculation authority used.

• Protect it: set a Worker secret named ANALYTICS_TOKEN (Cloudflare dashboard, Worker, Settings, Variables and Secrets). Open /analytics and enter any username with the token as the password. /api/analytics also accepts Authorization: Bearer <token>.
• Data model: one row per call, keyed by a salted hash of OpenAI's _meta["openai/subject"]. Calls are written atomically, so counts do not drift under concurrent traffic.
• Verified segment: limits every chart to requests from OpenAI's published egress IPs, which filters out your own test calls. Refresh the bundled list with node scripts/update-openai-egress.mjs.
• Limits: installs that never call a tool, and users whose host sends no subject ID, cannot be counted.

📺 Live Video Demonstration

Watch the Muslim Prayer Reminder MCP in action inside ChatGPT, Claude, and Cursor:

👉 Click here to watch the full 1080p demo video (MP4)

🏛️ System Architecture

flowchart TD
    subgraph ClientLayer ["AI Clients & Environments"]
        Cursor["Cursor IDE"]
        Claude["Claude Desktop / Web"]
        ChatGPT["ChatGPT Apps Directory"]
        Agent["Autonomous AI Agent"]
    end

    subgraph TransportLayer ["Model Context Protocol"]
        HTTP["Streamable HTTP /mcp"]
        Stdio["Stdio Transport CLI"]
    end

    subgraph ResolverLayer ["Layered Location Resolver"]
        Explicit["User coordinates + timezone or supported city"] --> Truncate["2-Decimal Sanitizer ~1.1km"]
        UserPref["Stored KV Preferences"] --> Resolver["Location Normalizer"]
        Headers["Verified end-user location headers"] --> Resolver
        Resolver --> Missing["No usable user location: location_required"]
        Truncate --> Resolver
    end

    GeoIP["Cloudflare network metadata"] --> Analytics["Operational analytics only"]

    subgraph EngineLayer ["In-Isolate Solar Calculation Engine"]
        Resolver --> Authority["Authority Selector"]
        Authority --> AdhanEngine["Astronomical Solar Solver"]
        AdhanEngine --> FiqhRules["Fiqh Clamping 48° & Madhab Calibration"]
        FiqhRules --> DueLogic["Prayer Window & Due Evaluator"]
    end

    subgraph OutputLayer ["Formatted Payloads & Disclosures"]
        DueLogic --> MCPResponse["JSON-RPC Structured Output"]
        MCPResponse --> DisclosureNotice["Mandatory Theological Notice"]
        DisclosureNotice --> Middleware["Deterministic Host Middleware"]
        Middleware --> FinalOutput["Appended AI Response: 🕌 It is time for Maghrib prayer"]
    end

    ClientLayer --> TransportLayer
    TransportLayer --> ResolverLayer

🛠️ MCP Tools Catalog

The server exposes 5 finely-tuned tools conforming to the latest Model Context Protocol standard with full Zod output contracts:

📐 Astronomical & Theological Rigor

Prayer calculations use astronomical models and configured regional methods; high-latitude substitutes and geographic heuristics are disclosed:

High-Latitude Polar Adjustments

In latitudes above 48° North or South where twilight persists throughout the night in summer, the engine automatically engages fiqh-compliant clamping (Middle of the Night & One-Seventh Rule), preventing computational errors or impossible timetables.

🔌 Install & Multi-Agent Setup

Connect Muslim Prayer Reminder to any AI agent harness, developer IDE, or container runtime:

1-Click & Matrix Overview

Environment / Harness	Protocol Mode	Quick Command / Deeplink
Cursor IDE	Remote HTTP
Claude Code	Native Plugin	/plugin marketplace add tareq7/muslim-prayer-mcp
Codex	Native Plugin	codex plugin marketplace add tareq7/muslim-prayer-mcp
GitHub Copilot CLI	Copilot Plugin	copilot plugin marketplace add tareq7/muslim-prayer-mcp
Claude Desktop	Stdio CLI	npx -y muslim-prayer-mcp via claude_desktop_config.json
VS Code & Cline	Local NPX	npx -y muslim-prayer-mcp via .vscode/mcp.json
Windsurf & Devin	Remote HTTP	Remote URL to mcp_config.json
Gemini CLI	Native Extension	gemini mcp add --transport http muslim-prayer https://muslim-prayer-mcp.najetareqz.workers.dev/mcp
Pi Agent Harness	Git Extension	pi install git:github.com/tareq7/muslim-prayer-mcp
OpenCode	Agent Plugin	Auto-loaded via opencode.json & AGENTS.md
Docker Container	Container	docker build -t muslim-prayer-mcp . then docker run --rm -i muslim-prayer-mcp (stdio)

Claude Code

Run inside your Claude Code session:

/plugin marketplace add tareq7/muslim-prayer-mcp
/plugin install muslim-prayer-mcp@muslim-prayer-mcp

(Note: Send as two separate prompts). In the Claude Code Desktop app, click the + button next to the prompt box ➔ Plugins ➔ Add plugin to browse and install from the marketplace.

Codex

Run in your terminal:

codex plugin marketplace add tareq7/muslim-prayer-mcp
codex plugin add muslim-prayer-mcp@muslim-prayer-mcp

Run codex and open /hooks (or start a new thread). This also activates the plugin in the Codex Desktop app upon restart.

GitHub Copilot CLI

In your terminal:

copilot plugin marketplace add tareq7/muslim-prayer-mcp
copilot plugin install muslim-prayer-mcp@muslim-prayer-mcp

Or inside an interactive Copilot CLI session:

/plugin marketplace add tareq7/muslim-prayer-mcp
/plugin install muslim-prayer-mcp@muslim-prayer-mcp

Cursor IDE

Click to install with one click:

Or manually add to .cursor/mcp.json:

{
  "mcpServers": {
    "muslim-prayer": {
      "url": "https://muslim-prayer-mcp.najetareqz.workers.dev/mcp"
    }
  }
}

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "muslim-prayer": {
      "command": "npx",
      "args": ["-y", "muslim-prayer-mcp"]
    }
  }
}

VS Code & Cline

Add this to .vscode/mcp.json using VS Code's servers format:

{
  "servers": {
    "muslim-prayer": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "muslim-prayer-mcp"]
    }
  }
}

Cline settings use the mcpServers format shown in Quick Start.

Windsurf & Devin

Add to mcp_config.json:

{
  "mcpServers": {
    "muslim-prayer": {
      "url": "https://muslim-prayer-mcp.najetareqz.workers.dev/mcp"
    }
  }
}

Gemini CLI

Connect directly using the live edge endpoint:

gemini mcp add --transport http muslim-prayer https://muslim-prayer-mcp.najetareqz.workers.dev/mcp

Pi Agent Harness

pi install git:github.com/tareq7/muslim-prayer-mcp

OpenCode

Add to your opencode.json:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "muslim-prayer": {
      "type": "remote",
      "url": "https://muslim-prayer-mcp.najetareqz.workers.dev/mcp"
    }
  }
}

OpenCode automatically loads this repository's AGENTS.md and skills/muslim-prayer-mcp/SKILL.md.

Docker Container

docker build -t muslim-prayer-mcp .
docker run --rm -i muslim-prayer-mcp

💻 Deterministic Host Middleware

For platforms building autonomous AI agents (Next.js, LangChain, Vercel AI SDK), the included middleware deterministically appends prayer notices to AI responses without hallucination:

import { PrayerReminderMiddleware } from 'muslim-prayer-mcp/middleware';

const prayerMiddleware = new PrayerReminderMiddleware({
  workerBaseUrl: 'https://muslim-prayer-mcp.najetareqz.workers.dev',
  userId: 'user_session_42',
});

// Wrap any LLM completion
const rawLlmOutput = await callLlm('Can you review this pull request?');
const { responseText, reminderAppended } = await prayerMiddleware.processResponse(rawLlmOutput, {
  'X-User-Coordinates': '24.71, 46.68', // Riyadh
  'X-User-Timezone': 'Asia/Riyadh',
});

console.log(responseText);
// => The code looks solid, but let's optimize line 42...
//
// 🕌 It is time for Asr prayer.

🧪 Comprehensive Test Suite

The engine includes 44 unit, integration, and end-to-end tests validating astronomical accuracy across 10 worldwide benchmark coordinates:

npm test

▶ Astronomical Prayer Calculation Suite
  ✔ calculates valid prayer timetable for Riyadh in correct chronological sequence
  ✔ calculates valid prayer timetable for Makkah in correct chronological sequence
  ✔ calculates valid prayer timetable for Cairo in correct chronological sequence
  ✔ calculates valid prayer timetable for Dubai in correct chronological sequence
  ✔ calculates valid prayer timetable for London in correct chronological sequence
  ✔ calculates valid prayer timetable for Paris in correct chronological sequence
  ✔ calculates valid prayer timetable for New York in correct chronological sequence
  ✔ calculates valid prayer timetable for Jakarta in correct chronological sequence
  ✔ calculates valid prayer timetable for Karachi in correct chronological sequence
  ✔ calculates valid prayer timetable for Sydney (Southern Hem) in correct chronological sequence
  ✔ verifies Hanafi Asr is strictly later than Shafi Asr
  ✔ handles Daylight Saving Time (DST) transitions safely
  ✔ automatically resolves Palestinian Awqaf standard for Gaza
  ✔ handles high-latitude polar city with MiddleOfTheNight rule safely
...
ℹ tests 44 | pass 44 | fail 0

🔒 Security & Privacy Policy

• Coordinate Truncation: All user coordinates are truncated to 2 decimal places upon arrival (~1.1 km resolution). Precise location is mathematically non-recoverable.
• No Outbound Tracking: Astronomical math is computed locally within the isolated V8 runtime; zero external requests are made to third-party tracking APIs.
• Fail-Open Architecture: Host middleware is designed to fail open; network issues or latency spikes will never block primary AI conversation streams.
• Full Disclosure Process: See SECURITY.md for supported versions, SLA, and private reporting.

📄 Governance, Ownership & Community

• Publisher & Organization: Smart Creations (OpenAI Organization ID: org-deULP4GGInsTcWmuaHWp3lxy)

• Lead Maintainer & Author: Tareq Naji (@tareq7)

• License: MIT License (Copyright © 2026 Smart Creations & Tareq Naji)

• Citation: CITATION.cff

• Maintainers: MAINTAINERS.md

• Governance: GOVERNANCE.md

• Product Roadmap: ROADMAP.md

• Agent Guidelines: AGENTS.md

• Contributing: CONTRIBUTING.md

• Code of Conduct: CODE_OF_CONDUCT.md

• Discussions: GitHub Discussions

Made with precision for the global Muslim developer community.

Verified location and calculation disclosures (v1.1.0)

Prayer tools accept a supported city, coordinates with timezone, or complete stored fixed settings. Missing location returns location_required; connector/IP geolocation and automatic Makkah fallback are not used. Explicit per-call inputs override fixed preferences. Host headers must represent the end user.

highLatitudeAdjustment discloses twilight substitutions and polar clamping; effectiveLatitude is present only for the +/-48-degree substitute and never echoes the original coordinate. calculationDetails reports location basis and regional, user, and method offsets. Invalid offsets that reverse prayer windows return invalid_calculation. Preferences expose fixedCoordinatesConfigured and fixedCityConfigured while redacting coordinates.

Analytics is pseudonymous and approximate: daily buckets 60 days, subject hashes 90 days, sessions 7 days, aggregate counters without expiry. Counts are not global atomic delivery metrics. Both dashboard aliases honor configured service authentication. See the privacy policy for the full retention and trust boundaries.

Preference and display-time contracts

Explicit coordinates require timezone in the same request. Stored fixed-location timezones are never inherited for new explicit coordinates. calculationDetails.timezoneSource identifies explicit, city, stored, or host input; city timezones must match the canonical city zone or an IANA alias. Coordinate timezones are checked against an approximate offline lookup and nearby boundary cells; contradictory values return location_timezone_mismatch with expectedTimezone. Supply city or coordinates, never both. Geographic default authority follows the lookup, not the supplied display timezone.

Fixed mode requires a supported city or coordinates with timezone. New fixed coordinates require timezone in the same configuration request. Failed configuration updates save nothing. Switching to auto_travel preserves fixed location for reuse; clearFixedLocation:true removes city, coordinates and timezone and defaults to auto-travel, preserving unrelated preferences. Clear cannot accompany replacement location/timezone or incomplete fixed mode.

For identified users, prayer_window and exact_window emit once per prayer/date/mode; persistent emits throughout the prayer period. Locale changes and toggling reminders do not reset deduplication. Anonymous calls do not persist deduplication. expiresAtUtc retains its prayer-period meaning; prayerWindowExpiresAtUtc names the same boundary, and reminderWindowExpiresAtUtc describes eligibility, capped by the prayer boundary in exact mode. These fields appear when a reminder is emitted. Cross-region KV updates and deduplication remain best effort.

The Palestinian regional profile is a configured service heuristic using the Egyptian method with Dhuhr -1 and Maghrib +3 minute offsets. Its broad coordinate/timezone/country rules do not establish jurisdiction. Exact adoption of these parameters by the Palestinian ministry has not been verified from a primary source. Users can override method and offsets. Other regional choices are service defaults, not nationwide mandates. Method descriptions follow Adhan documentation.

The supported city vocabulary and aliases are advertised in each location input schema and generated skill. The service registers five tools only. Duplicate suffixed tools or old schemas in a connector require refreshing its registration; they are not separate server operations.

Timezone validation uses @photostructure/tz-lookup 11.7.0 (compact, approximate geographic data). Canonical IANA aliases are accepted; matching sampled UTC offsets is not sufficient, because DST transition dates can differ. Near boundaries, adjacent lookup zones within roughly 0.05 degrees are accepted and disclosed as nearby_boundary. This is not precise jurisdiction detection. Mathematical poles retain an explicit civil timezone choice; ocean cells require a matching nautical zone or nearby civil zone. New and updated fixed-city preferences store the canonical city timezone; contradictory supplied values are rejected. Legacy city records are presented canonically without rewriting other data on a read.

The caller must supply current city or coordinates/timezone in auto_travel mode; there is no automatic IP geolocation. Stored method preferences remain active while traveling. exact_window uses the saved duration or, when unset, the service default of 20 minutes unless an operator overrides it. Omitting the duration preserves existing preferences.