Discover our curated collection of MCP servers for learning & documentation. Browse 1223servers and find the perfect MCPs for your needs.
Creates and manages structured project documentation as interconnected Markdown files.
Query Erick Wendel's contributions across various platforms using natural language.
Analyzes Next.js app directory structures to help LLMs understand API routes.
Retrieves transcripts for YouTube videos given a URL and desired language.
Provides reference information for Flux UI components to AI assistants via a Model Context Protocol (MCP) server.
Serves Go documentation efficiently to LLMs via the Model Context Protocol, reducing token usage and improving project understanding.
Provides AI coding assistants with structured, persistent memory to eliminate context loss between sessions.
Analyzes Next.js app directories to extract information about API routes, including paths, methods, and schemas.
Enables interaction with Markdown knowledge bases through an MCP server.
Offers developers a unified platform for offline SAP documentation and real-time SAP Community insights.
Integrates with Anki to allow managing decks, note models, and notes via the Model Context Protocol.
Enables LLMs to search and retrieve academic paper information from Semantic Scholar and Crossref.
Provides LLMs with efficient access to package documentation across multiple programming languages.
Provides AI assistants with curated access to latest development documentation and best practices.
Provides fast and standardized access to 1C:Enterprise platform reference information for AI assistants.
Provides Zed's Assistant with up-to-date documentation for any prompt.
Enables AI agents to explore Rust crate documentation, analyze source code, and confidently build Rust projects.
Facilitates the creation of structured documentation systems for AI assistants, enabling context preservation using the Memory Bank pattern.
Standardizes access to over 20 NASA data sources through a single, consistent interface for AI models.
Enables LLMs to accurately interpret mathematical expressions in scientific papers by fetching and processing LaTeX source from arXiv.
Scroll for more results...