Learning & Documentation MCP Servers

Systemprompt Interview

Enables AI-powered interview roleplay scenarios for interactive voice-based practice.

Autodocument

Automatically generates documentation, test plans, and code reviews for code repositories using AI.

SourceSage

Visualizes project directory structures as markdown, automatically documenting file contents.

Docbase

Enables interaction with Docbase data through a Model Context Protocol server.

Docs Provider

Provides documentation context to Large Language Models (LLMs) via the MCP protocol, allowing them to answer queries based on local markdown documentation.

ArXiv Search

Searches and fetches scientific papers from arXiv.org based on category and number of results.

Laravel Docs

Provides AI assistants with access to Laravel documentation and package recommendations via the Model Context Protocol (MCP).

Context Template

Manages AI tool context centrally to reduce sharing costs and improve development productivity.

Owasp Cheat Sheets

Serves OWASP Cheat Sheet Series content via a minimal Model Context Protocol (MCP) compatible server.

Research

Provides comprehensive resources for implementing Model Context Protocol (MCP) servers, specifically tailored for Cursor AI integration.

Docfork

Provides up-to-date documentation for thousands of libraries within AI code editors via the Model Context Protocol.

Stateless

Demonstrates a minimal, stateless server implementation for the Model Context Protocol.

Modus

Integrates comprehensive Modus Web Components documentation directly into AI assistants within your IDE.

Academic

Provides AI assistants with a unified interface to access multiple academic databases for search, metadata retrieval, and comprehensive research analysis.

RAG System

Provides an intelligent knowledge base system for document processing, knowledge Q&A, and vector library management.

Claude Journal

Provides a lightweight journal and memory system for Claude Code, enabling context recovery and proactive work capture.

Paper Intelligence

Intelligently manage and search PDF documents using hybrid grep and semantic RAG capabilities.

Meggg

Empower AI agents with persistent, contextual memory to transform them into long-term, knowledgeable employees.

SpecLoom

Enforces the V-Model for Spec-Driven Development in Human-AI design, ensuring compliance and traceability for AI-generated code.

Forage

Enables AI agents to automatically discover, install, and learn to use new tools without manual configuration or restarts.