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。2179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 Cursor IDE to query World Mini Apps documentation for coding assistance.
Facilitates Retrieval Augmented Generation (RAG) using LlamaIndex, Gemini embeddings, and LanceDB for local knowledge storage.
Provides a command-line interface for semantic search within PyTorch documentation, leveraging embeddings and a vector database.
Empower AI agents with comprehensive access to Ilograph documentation, validation tools, and diagram creation guidance.
Integrates I Ching divination with AI responses, exploring the bibliomantic approach described in Philip K. Dick’s The Man in the High Castle.
Transforms The Build Podcast into a searchable AI-powered knowledge base, enabling discovery of business ideas and product strategies through natural language queries.
Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.
Facilitates interaction with the acomo API, providing functionalities for API listing, schema reference, request template generation, and direct API calls.
Offers a collection of sample projects and resources for backend development.
Renders Markdown content or files into PDF documents via a Model Context Protocol (MCP) server.
Provides extensive knowledge about the Backstage framework for plugin development and customization.
Orchestrates comprehensive travel planning by leveraging an agentic workflow, integrating multi-LLM support and essential travel tools through the Model Context Protocol.
Preserves project context, documentation, decisions, and progress across Claude Code sessions.
Provides AI assistants with direct access to comprehensive Gemini API documentation.
Provides on-demand access to official prompting guides for building robust meta-prompts within your LLM workflow.
Provides AI assistants with semantic search over local documentation and coding guidelines, ensuring privacy and data security.
Empower AI to learn piano and singing across 120 songs and 12 genres, utilizing real MIDI, vocal tract synthesis, and a persistent practice journal.
Connects Large Language Models (LLMs) directly to the arXiv repository for semantic paper discovery, automated citation generation, and direct PDF downloads.
Enables AI agents to fully interact with ITASCA PFC, allowing access to documentation, simulations, and plot captures.
Provides AI assistants with on-demand access to the complete amCharts 5 knowledge base, including 141 documentation pages, 283 code examples, and 1,098 class API references.
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