Discover our curated collection of MCP servers for learning & documentation. Browse 1806servers and find the perfect MCPs for your needs.
Enables programmatic access to the IACR Cryptology ePrint Archive for efficient retrieval of cryptographic research papers.
Scrapes data from the Longman Dictionary website and returns it in a standardized JSON format.
Search and fetch up-to-date documentation for popular libraries like Langchain and OpenAI.
Manages and retrieves knowledge using a natural language interface, powered by LLM analysis.
Connects local Obsidian vaults stored in iCloud to AI via the Model Context Protocol (MCP).
Provides a command-line interface for semantic search within PyTorch documentation, leveraging embeddings and a vector database.
Provides a unified interface for accessing up-to-date documentation of popular libraries.
Instantly searches for curated code, snippets, and indie developer articles to provide targeted insights.
Connects AI tools and IDEs to your product documentation through a hosted Retrieval-Augmented Generation (RAG) layer.
Supplies Large Language Models with real-time, comprehensive Go package documentation directly from pkg.go.dev.
Provides an MCP server for Rust's package manager, crate registry, and documentation system.
Transforms The Build Podcast into a searchable AI-powered knowledge base, enabling discovery of business ideas and product strategies through natural language queries.
Offers a comprehensive suite of Chinese traditional calendar functions, including BaZi, solar terms, and daily fortune telling.
Generates natural, fluent Chinese content using advanced language models, capable of internet searches and direct file saving.
Provides programmatic access to Next Generation Science Standards (NGSS) for middle school education, featuring fuzzy matching and comprehensive search capabilities.
Builds self-contained, searchable documentation servers with hybrid vector and keyword search capabilities.
Manages a technical glossary within an Obsidian vault, allowing programmatic interaction via an MCP server.
Integrates Vim and Claude Code, enabling AI-driven control and querying of Vim instances through a Model Context Protocol server.
Enables AI models to access and query jOOQ documentation, including SQL examples and best practices.
Access Purdue Brightspace courses and academic information using natural language with any Model Context Protocol (MCP) client.
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