Discover our curated collection of MCP servers for learning & documentation. Browse 1431servers and find the perfect MCPs for your needs.
Provides a customizable, secure AI assistant leveraging local LLMs for departments to manage data, automate workflows, and gain document-based insights.
Provides an MCP server for searching and retrieving content from Grokipedia.
Provides a Model Context Protocol (MCP) server for robust Markdown document table of contents analysis and processing.
Provides a query interface to understand the capabilities and rules of Dart class modifier combinations.
Provides a Model Context Protocol server to interact with API documentation for GraphQL, OpenAPI/Swagger, and gRPC.
Offers a comprehensive suite of Chinese traditional calendar functions, including BaZi, solar terms, and daily fortune telling.
Counts letter occurrences within a given word, designed for use with LLMs.
Enables AI language models to securely interact with Microsoft OneNote data for comprehensive reading, writing, and editing.
Provides a basic example of a Server-Sent Events (SSE) server implementation for the Model Context Protocol (MCP).
Integrates with Isparta University's Student Information System to securely access and manage academic data.
Exposes local persistent memory as a server for AI agents to access and utilize knowledge.
Provides AI-powered natural language queries to navigate technical conference data, including sessions, speakers, and schedules, specifically designed for ServerSide.swift 2025.
Facilitates semantic and temporal search across your Obsidian vaults using a Claude MCP server.
Integrates with Hyperskill to enable AI agents to explain programming topics using Hyperskill's learning resources.
Transform images using natural language prompts and powerful augmentation techniques via the MCP protocol.
Syncs Google Drive folders with AI assistants, enabling powerful semantic search, duplicate detection, and cross-reference analysis across your documents.
Connects AI assistants to arXiv, enabling search, analysis, and download of research papers within AI workflows.
Integrates AI-generated book summaries and chapter breakdowns directly into large language model clients like Claude Desktop.
Provides a persistent quantitative workspace for mathematical operations, data visualization, and cross-session state via the Model Context Protocol.
Simulates and animates complex quantum physics phenomena with high-quality visualizations.
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