learning & documentation向けの厳選されたMCPサーバーコレクションをご覧ください。1561個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.
Offers a remote Model Context Protocol server enabling AI-powered tutoring and personalized learning analytics for students preparing for Romanian police academy entrance exams.
Provides AI assistants with intelligent, comprehensive access to the MAGMA computational algebra system handbook through advanced vector search and semantic understanding.
Recursively analyzes C++ source and header files to extract class definitions, inheritance relationships, and member information, generating comprehensive UML class diagrams in PlantUML format.
Provides a specialized Model Context Protocol (MCP) server for efficient searching, reading, and analysis of discussions on the official GitLab community forum.
Provides offline access to TwitterAPI.io (X API) documentation, including endpoints, pages, and blogs, specifically for AI assistants like Claude.
Analyzes source code structure across multiple languages, extracting classes, functions, methods, and metadata with precise line numbers.
Establishes a foundational Model Context Protocol server for custom tool, resource, and prompt development.
Translates academic PDF documents, preserving mathematical formulas and original layout with intelligent assistance.
Infuses principles of vibe-coding, based on Rick Rubin's adaptation of the Tao Te Ching, into AI-driven development sessions.
Serves comprehensive data about Colombia, including departments, regions, and cities, via a Model Context Protocol server for educational and practical implementations.
Demonstrates a vulnerable server with multiple clients to showcase security weaknesses for educational purposes.
Automates systematic document organization, converts PDFs to Markdown, and enforces a universal project documentation standard.
Exposes financial independence calculation functions to AI assistants via the Model Context Protocol.
Generates short personalized greeting messages through a minimal Model Context Protocol (MCP) server.
Enables AI assistants to save and semantically search bookmarks using OpenAI's Retrieval Augmented Generation (RAG) capabilities.
Enables local middleware for seamless communication between LLM-based tools on Windows OS.
Enables remote execution of shell commands and access to documentation via a Model Context Protocol server.
Integrates Large Language Models with MySQL databases and Google Workspace for educational data management and analysis.
Provides access to Payman AI's documentation for AI assistants to aid developers with integration questions.
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