Discover our curated collection of MCP servers for learning & documentation. Browse 1223servers and find the perfect MCPs for your needs.
Provides an interactive SQL learning environment by connecting Claude with PostgreSQL for dynamic data generation and query execution.
Transforms AI assistants into 3GPP specification experts by providing direct access to the TSpec-LLM's 535M word dataset.
Visualizes project directory structures as markdown, automatically documenting file contents.
Provides an MCP server for Rust's package manager, crate registry, and documentation system.
Manages and organizes conversational content on an MCP server using templated recording features.
Integrates comprehensive Modus Web Components documentation directly into AI assistants within your IDE.
Provides comprehensive tools to support mathematical optimization using JijModeling and quantum computing tasks with Qiskit.
Converts LaTeX mathematical expressions into MathML format using a Model Context Protocol (MCP) server.
Assists students in preparing for any exam or test by serving as an intelligent, AI-powered study companion.
Provides Elixir project and dependency documentation to an LLM through an SSE MCP server.
Enables AI models to interact with SourceSync.ai's knowledge management platform through a standardized Model Context Protocol (MCP) server.
Provides unified Apple Human Interface Guidelines and technical documentation for all Apple platforms via the Model Context Protocol.
Enhances Claude's web search capabilities using Perplexity's API, offering intelligent model selection, domain filtering, and recency control.
Enables Claude and other LLMs to interact with construction documents through advanced RAG and hybrid search.
Provides efficient search and referencing capabilities for user-configured documentation.
Organizes and publishes a variety of written content, from notes to articles.
Enables access and searching of Lark (Feishu) documents via a Model Context Protocol server.
Enables AI assistants to perform full-text searches and retrieve content from Obsidian vaults using the Model Context Protocol.
Enables AI assistants to help developers build HTML interfaces by providing programmatic access to Basecoat CSS components and their usage documentation.
Programmatically interact with Anki decks for Japanese language learning through a Model Context Protocol (MCP) server.
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