Discover our curated collection of MCP servers for learning & documentation. Browse 1911 servers and find the perfect MCPs for your needs.
Provides a simple Node.js and TypeScript-based server project with a basic tutorial.
Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.
Curates a collection of resources, guides, and tools for the Multi-Channel Platform (MCP) community.
Enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer's API.
Demonstrates a vulnerable server with multiple clients to showcase security weaknesses for educational purposes.
Indexes and serves Terraform/Tofu provider documentation from local Git repositories to enable accurate, context-aware code generation.
Connects AI applications to the huuh.me platform, facilitating collaborative AI and knowledge management.
Access Zendesk Help Center content anonymously through a standardized MCP server interface.
Access and search Wikipedia content locally through ZIM files, providing results in HTML or Markdown.
Enables AI models to interact with external tools and data sources.
Connects Notion accounts with ChatGPT, providing controlled access to specific Notion pages for AI models.
Provides up-to-date, version-specific code documentation directly into Large Language Models and AI code editors to improve code generation accuracy.
Manages school attendance records and enables GitHub repository operations through a unified MCP server.
Crawls Deepwiki URLs, converts relevant content into standardized Markdown, and provides it in various formats for AI processing.
Connects AI assistants to a personal self-awareness framework, linking daily actions to core motivations.
Translates academic PDF documents, preserving mathematical formulas and original layout with intelligent assistance.
Equips large language models with persistent memory and knowledge retrieval capabilities through semantic search over markdown vaults.
Provides an AI-powered DevOps knowledge base for Claude, offering best practices, templates, and automation to streamline infrastructure projects.
Integrates local Large Language Models directly into your codebase for cost-efficient, always up-to-date documentation and querying.
Offers a local-first note-taking experience where AI functions as a CRDT peer, enabling collaborative editing while preserving user control and voice.
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