alfanous — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by Alfanous-team · MCP Server · ★ 289

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About alfanous

Alfanous API Alfanous is a Quranic search engine API that provides simple and advanced search capabilities for the Holy Qur'an. It enables developers to build applications that search through Quranic text in Arabic, with support for Buckwalter transliteration, advanced query syntax, and rich metadata. Features Powerful Search: Search Quranic verses with simple queries or advanced Boolean logic Arabic Support: Full support for Arabic text and Buckwalter transliteration Rich Metadata: Access verse information, translations, recitations, and linguistic data Flexible API: Use as a Python library or RESTful web service Faceted Search: Aggregate results by Sura, Juz, topics, and more Multiple Output Formats: Customize output with different views and highlight styles Quickstart Installation Install from PyPI using pip: Basic Usage Python Library python from alfanous import api Simple search for a word api.search(u"الله") Advanced search with options api.do({"action": "search", "query": u"الله", "page": 1, "perpage": 10}) Search using Buckwalter transliteration api.do({"action": "search", "query": u"Allh"}) Get suggestions api.do({"action": "suggest", "query": u"ال

apiarabicindexingmcpmcp-serverpythonquransearch-engine

Quick Facts

Stars289
Forks90
LanguagePython
CategoryMCP Server
LicenseLGPL-3.0
Quality Score68.5551025616632/100
Open Issues23
Last Updated2026-06-14
Created2012-06-10
Platformsmcp, python
Est. Tokens~18k

Compatible Skills

These tools work well together with alfanous for enhanced workflows:

  • relevanceai — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • Flamehaven-Filesearch — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • DiscovAI-search — semantic(0.44)+complementary+similar_pop (45%)

alfanous alternative? Top 6 similar tools

Looking for a alfanous alternative? If you're comparing alfanous with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is alfanous?

alfanous is Alfanous is an Arabic search engine API provides the simple and advanced search in Quran , more features and many interfaces.... It is categorized as a MCP Server with 289 GitHub stars.

What programming language is alfanous written in?

alfanous is primarily written in Python. It covers topics such as api, arabic, indexing.

How do I install or use alfanous?

You can find installation instructions and usage details in the alfanous GitHub repository at github.com/Alfanous-team/alfanous. The project has 289 stars and 90 forks, indicating an active community.

What license does alfanous use?

alfanous is released under the LGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to alfanous?

The top alternatives to alfanous on Agent Skills Hub include facebook-ads-library-mcp, cheatengine-mcp-bridge, arcade-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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