Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 1660servers and find the perfect MCPs for your needs.
Obsidian
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.
Researcher
Provides research and documentation assistance by leveraging the Perplexity AI Sonar Pro API.
Documentation
Manages and semantically searches documents using AI embeddings, bridging knowledge gaps for various content types.
DevOps AI Toolkit
Enhances software development workflows with AI-powered automation for Kubernetes deployment, documentation testing, and shared prompt management.
FileScope
Analyzes codebases to identify important files based on dependency relationships, generating diagrams and importance scores to improve AI understanding.
OSP Marketing Tools
Empowers LLMs to leverage Open Strategy Partners' core marketing techniques.
Rust Docs
Provides accurate Rust code suggestions for AI assistants by fetching current crate documentation and using LLMs to provide context.
Ragdocs
Enables AI assistants to augment their responses with context from documentation through vector search and retrieval.
Suppr
Provides AI-driven high-quality document translation across multiple formats and intelligent academic search capabilities for PubMed literature.
LlamaCloud
Enables the creation of a local MCP server using LlamaCloud to provide up-to-the-minute private information to clients like Claude.
Effect
Provides tools and resources for accessing Effect documentation.
Google Scholar
Enables AI assistants to search and access Google Scholar papers through a simple interface.
Ant Design Components
Provides Ant Design component documentation to large language models, enabling them to understand and utilize Ant Design components effectively.
Claude Historian
Empowers Claude AI to access, search, and learn from its past conversation history, offering detailed insights into prior projects and solutions.
Anki
Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
Deep Research
Generates comprehensive, well-cited research reports from research questions by elaborating on the question, finding relevant sources, and analyzing content.
Wikipedia
Retrieves information from Wikipedia to provide context to Large Language Models (LLMs).
Simple Arxiv
Enables LLMs to search and access scientific papers from arXiv.
Anki
Connects to a locally running Anki to provide card review and creation capabilities.
Scholarly
Search for accurate academic articles from various scholarly sources.
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