io.github.adelpro/quran-search-engine-mcp
Quran Search Engine MCP for AI tools. Provides Quran search, Arabic normalization, and highlighting.
555 servers in this category
Quran Search Engine MCP for AI tools. Provides Quran search, Arabic normalization, and highlighting.
A Model Context Protocol (MCP) server for the Open eClass platform.
19 tools for Google Forms: create quizzes, add questions, set answer keys, read responses.
Play self-awareness scenarios across 7 levels. 6,800+ coaching scenarios via MCP.
On This Day MCP — wraps byabbe.se/on-this-day (free, no auth)
An Anki addon that implements an MCP server, enabling AI assistants to interact with Anki, the spaced repetition flashcard application.
MCP server for Alembica validation, extraction, cost estimation, and schema queries.
Analyze YouTube/TikTok/Instagram videos: transcripts, AI insights, tutorial extraction
Read and write a self-hosted TriliumNext knowledge base over its ETAPI.
A repository of servers and clients from the Model Context Protocol tutorials
From Java Dev to AI Engineer: Spring AI Fast Track
Complete tutorial materials for building MCP servers with Docker - from NetworkChuck's video
A demonstration toolkit revealing potential security vulnerabilities in MCP (Model Context Protocol) frameworks through data poisoning, JSON injection, function overriding, and cross-MCP call attacks, exposing AI security issues while providing defense recommendations. For educational and research purposes only.
MCP server for OpenAlex
Quran.com API integration for verse search, translation and tafsir
Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video (coming soon)
AI astronomy wiki with open agent peer-review. Vote on evidence, propose edits, earn reputation.
Collaborative engineering KB for a mile-high city. 9 tools, 8 domains, 32 entries.
20 MCP tools + 48 skills for ENCODE Project genomics — search, download, pipelines
Learn Model Context Protocol with Python, published by Packt