Criterion▌
by balajsaleem
Criterion — semantic search across Quranic verses and authentic Hadiths for precise Islamic guidance, study, and researc
Provides semantic search across Quran verses and authentic Hadiths for Islamic guidance.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Islamic scholars and students researching religious texts
- / New Muslims seeking authentic Islamic guidance
- / Developers building Islamic knowledge applications
capabilities
- / Search Quran verses using semantic similarity
- / Search authentic Hadith narrations from 6 major collections
- / Retrieve specific Quran verses by reference
- / Get contextual verses surrounding search results
what it does
Provides semantic search across 6,236 Quran verses and 21,641 authentic Hadiths from major Islamic collections to deliver Islamic guidance based on verified sources.
about
Criterion is a community-built MCP server published by balajsaleem that provides AI assistants with tools and capabilities via the Model Context Protocol. Criterion — semantic search across Quranic verses and authentic Hadiths for precise Islamic guidance, study, and researc It is categorized under ai ml, developer tools. This server exposes 3 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Criterion in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
NOASSERTION
Criterion is released under the NOASSERTION license.
readme
Criterion - Islamic Knowledge Assistant
An AI-powered Da'i (invitor to Islam) bringing authentic Islamic guidance to seekers worldwide.
Built on the Quran and authentic Hadith. Free forever. For the sake of Allah.
Mission · Features · Tech Stack · Getting Started · MCP Server · Documentation
## Mission Criterion exists to bring authentic Islamic knowledge to anyone seeking truth, using modern technology to make divine guidance accessible to all of humanity — **freely, forever, for the sake of Allah alone.** ### Our Four Pillars 1. **Truth & Authenticity** — Every response is grounded in verified sources (Quran and Sahih Hadith). We never fabricate or hallucinate. 2. **Fundamentals & Simplicity** — We focus on core Islamic teachings that unite. We avoid sectarian debates and controversial topics. 3. **For the Sake of Allah** — Criterion will always be free, with no monetization or organizational promotion. This is Sadaqah Jariyah. 4. **State of the Art** — We use cutting-edge AI to deliver Islamic guidance effectively to the masses. 👉 **[Read the full mission and vision in MISSION.md](./MISSION.md)** ## Key Differentiators **Mission-Aligned:** - ✨ **Free Forever** — No paywalls, no ads, no monetization. Built fi sabilillah (for Allah's sake) - 📚 **Fundamentals-Focused** — Avoids sectarian debates, focuses on universally accepted Islamic teachings - 🛡️ **Trust-First** — Grade-filtered authentic Hadith (defaults to Sahih), verified sources only - 🤝 **Seeker-Oriented** — Designed for curious minds, new Muslims, and students of knowledge - 🕌 **Da'i Personality** — Compassionate, knowledgeable, humble guidance **Technical Excellence:** - 🎯 **Semantic Search** — Natural language queries return relevant verses from 6,236 Quran verses + 21,641 Hadith narrations - 📖 **Contextual Retrieval** — Top results include ±2 surrounding verses/narrations for proper context - 🌐 **Multilingual** — Read in English (fast) + Slovak (expandable to 10+ languages) - 🔗 **Accurate Citations** — All responses include source references with hyperlinks (Quran.com, Sunnah.com) - ⚡ **Fast** — <150ms query response time ## Features ### What Criterion Does ✅ **Semantic Quran Search** — Ask natural language questions, get relevant verses ✅ **Semantic Hadith Search** — Search authentic Hadith with grade & collection filtering ✅ **Contextual Understanding** — Top results include surrounding context for proper meaning ✅ **Accurate Citations** — Every response cites real sources with hyperlinks ✅ **Multilingual Reading** — English (fast) + Slovak (single JOIN <200ms) ✅ **Shareable URLs** — `/quran/search?q=patience`, `/hadith/search?q=charity`, and `/quran/2/255` with metadata ✅ **Real-time Streaming** — Progressive response generation with token-by-token delivery ✅ **Tool-Based RAG** — LLM autonomously decides when to retrieve from Quran/Hadith ### Technical Stack - [Next.js 15](https://nextjs.org) App Router with React 19 & Tailwind CSS - [Vercel AI SDK](https://ai-sdk.dev) for LLM integration and streaming - [XAI Grok 4](https://x.ai) for intelligent natural language responses - [PostgreSQL](https://neon.tech) with [pgvector](https://github.com/pgvector/pgvector) for vector search - [Drizzle ORM](https://orm.drizzle.team) for type-safe database access - [Google Gemini](https://ai.google.dev) text-embedding-004 (768 dimensions) - HNSW indexes for <150ms similarity search - [Auth.js](https://authjs.dev) for authentication - Deployed on [Vercel](https://vercel.com) ## How It Works ### The RAG Pipeline ``` User Question ↓ XAI Grok 4 LLM (decides which tools to use) ↓ Tool Selection: - queryQuran → 6,236 verses (top 7 for chat, top 20 for search) - queryHadith → 21,641 hadiths from 6 collections (top 3 for chat, top 15 for search, with grade filtering) ↓ Vector Search (768-dim Gemini embeddings) ↓ Context Enhancement (top 3 get ±2 surrounding verses) ↓ LLM Generates Response with Citations ↓ Real-time Stream to User (Server-Sent Events) ``` ### Data - **6,236 Quran verses** from all 114 Surahs - Arabic text (Tanzil Quran) - English translation (master) - Slovak translation (expandable) - 768-dimensional embeddings (Gemini text-embedding-004) - **21,641 Hadith narrations** from 6 major collections (Kutub al-Sittah subset) - Sahih Bukhari (7,558) - Sahih Muslim (2,920) - Jami` at-Tirmidhi (3,951) - Sunan Abi Dawud (5,274) - 40 Hadith Nawawi (42) - Riyad as-Salihin (1,896) - Grade filtering (Sahih, Hasan, Da'if) - 768-dimensional embeddings ### Performance - **Quran search**: <150ms (English), <200ms (translated) - **Hadith search**: <150ms - **Vector search**: Powered by HNSW indexes - **Streaming**: Real-time token-by-token delivery ## Getting Started ### Prerequisites - Node.js 18+ and pnpm - PostgreSQL database (recommend [Neon](https://neon.tech)) - API Keys: - XAI API Key (for Grok LLM) - Google AI Studio API Key (for embeddings) ### Installation 1. **Clone the repository** ```bash git clone
FAQ
- What is the Criterion MCP server?
- Criterion is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Criterion?
- This profile displays 73 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
List & Promote Your MCP Server
Share your MCP server with the developer community
Ratings
4.8★★★★★73 reviews- ★★★★★James Kapoor· Dec 20, 2024
According to our notes, Criterion benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Mateo Nasser· Dec 16, 2024
Criterion is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Ama Taylor· Dec 12, 2024
We wired Criterion into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ira Desai· Dec 8, 2024
I recommend Criterion for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Ira Abbas· Dec 8, 2024
Criterion is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ishan Chawla· Nov 27, 2024
Criterion has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Maya Singh· Nov 15, 2024
Criterion is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ishan Bhatia· Nov 11, 2024
We wired Criterion into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Kwame Shah· Nov 7, 2024
Criterion reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Maya Srinivasan· Nov 3, 2024
According to our notes, Criterion benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
showing 1-10 of 73