Learning & Documentation MCPサーバー
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。1096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。
PDF Reader
Provides comprehensive PDF processing capabilities, including advanced academic analysis and content extraction, optimized for agent understanding.
Psaboia Example
Provides a playground environment for experimenting with and extending a TypeScript-based server.
Second Opinion
Provides AI-powered assistance for coding problems by combining insights from multiple AI sources and Stack Overflow.
Demo Local LLM
Demonstrates creating MCP clients and servers in Python and TypeScript, integrating with local LLMs.
AWS AgentCore
Provides comprehensive documentation and insights for AWS AgentCore to GenAI tools, enabling the development of production-ready AI agents.
My Server
Serves as a basic Model Context Protocol server, offering a `calculate` tool for fundamental mathematical operations.
Northwind FastAPI Example
Enables Large Language Models to connect and interact with REST APIs by exposing data through a Model Context Protocol endpoint.
Pokémon
Connects AI models to the Pokémon world by providing extensive data and a battle simulation environment.
QB64PE
Provides advanced QB64PE programming assistance through a Model Context Protocol server.
Anki
Exposes Anki collection data via an MCP server to integrate with AI assistants.
Cricket Prediction
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
My Server
Manages a simple notes system through a Model Context Protocol server, providing resources, tools, and prompts for note interaction.
Mermaid Chart
Automates the generation of Mermaid diagrams from code and beautifies SVG outputs, functioning as a powerful Model Context Protocol server.
Simple Todo App
Manages TODO items with status tracking via a simple REST API.
MRConfluenceLinker
Integrates GitLab merge request analysis with Confluence documentation via an MCP server.
BookStack
Integrates BookStack with AI systems like LibreChat, providing programmatic access to search, manage, and interact with documentation content.
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