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。2378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。
Analyzes web content and adds it to a knowledge base for question answering.
Provides an MCP server to manage, build, check, and search Rust documentation locally.
Provides client applications with the ability to access and retrieve Wikipedia pages.
Enables Claude Desktop to interact with Hacker News using the Model Context Protocol (MCP).
Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.
Enables AI clients to interact with Wix tools and services, such as documentation search, code writing, and API calls.
Enables AI language models to securely interact with Microsoft OneNote data for comprehensive reading, writing, and editing.
Empower AI agents with comprehensive codebase understanding, eliminating context loss and optimizing token usage for complex software development.
Provides an experimental server for interacting with the OXC parser's Abstract Syntax Tree.
Analyzes images to extract code content, identify programming languages, and analyze software architecture using the GLM-4.5V model.
Provides an agent-first note-taking system designed from the ground up for AI collaboration and structured knowledge management.
Provides secure access to SvelteKit and Tailwind CSS documentation and code snippets to assist developers in building applications.
Provides a minimal server implementation of the Model Context Protocol (MCP) for educational purposes, demonstrating model-client communication.
Enables AI-powered semantic search for Microsoft Dynamics 365 F&O development, allowing natural language queries to find and understand X++ code.
Automates the creation of complex mathematical and scientific animations from natural language descriptions using the Manim library.
Equip AI coding agents with expert-level ML and AI knowledge for enhanced development and problem-solving.
Access Korea University's KUPID portal and Canvas LMS information, including notices, schedules, library seats, assignments, and grades, through natural language queries.
Establishes a persistent memory server for AI coding agents, enabling them to retain and access critical knowledge across different sessions.
Provides AI assistants with keyword, semantic, and hybrid search capabilities for 1C:Enterprise platform API documentation.
Establishes a self-hosted Model Context Protocol server, providing AI coding assistants with a persistent knowledge base for architectural decisions, specifications, and learned lessons.
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