Discover our curated collection of MCP servers for learning & documentation. Browse 2141 servers and find the perfect MCPs for your needs.
Serves Go documentation efficiently to LLMs via the Model Context Protocol, reducing token usage and improving project understanding.
Enables LLMs to search and retrieve academic paper information from Semantic Scholar and Crossref.
Enables AI assistants to interact with Outline documentation services through the Model Context Protocol (MCP).
Enables semantic search and retrieval of documentation using a vector database, allowing users to add and query documentation from URLs or local files using natural language.
Provides efficient access to Svelte documentation with advanced caching and search capabilities.
Enables LLMs to accurately interpret mathematical expressions in scientific papers by fetching and processing LaTeX source from arXiv.
Enables advanced automation and intelligent interaction with LeetCode's problems, contests, solutions, and user data.
Provides Zed's Assistant with up-to-date documentation for any prompt.
Enables AI agents to manage documents, collections, and other entities programmatically through the Outline knowledge base platform.
Analyzes Next.js app directory structures to help LLMs understand API routes.
Creates and manages structured project documentation as interconnected Markdown files.
Enables AI agents to explore Rust crate documentation, analyze source code, and confidently build Rust projects.
Provides an API for programmatic interaction with the Dash macOS documentation browser.
Offers Svelte 5 and SvelteKit documentation as an MCP endpoint and LLM presets for AI assistants.
Provides Claude with persistent memory and workspace file access across all chats to eliminate repetitive explanations.
Provides real-time framework documentation access for Claude Code with intelligent caching, multi-source integration, and context-aware assistance.
Provides a hands-on training program for security practitioners to build AI-powered tools for threat detection, incident response, and security automation.
Provides AI full read-write access to a Logseq knowledge graph, enabling comprehensive traversal, analysis, and content management.
Provides up-to-date, local-first documentation for AI agents to ensure accurate and instant responses.
Enables AI agents to navigate and retrieve documentation by structured sections, drastically improving token efficiency and context hygiene over brute-force file scanning.
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