Discover our curated collection of MCP servers for learning & documentation. Browse 1664servers and find the perfect MCPs for your needs.
Provides a simple notes system for Solana documentation context within the Model Context Protocol.
Provides an MCP server to access and query historical merit records and public reports of independence patriots from the Ministry of Patriots and Veterans Affairs' electronic archives.
Explore and learn about Model Context Protocol (MCP) server implementations through a collection of experimental servers.
Provides developers with continuous, project-centric context awareness by learning from development patterns.
Extracts and stores documentation from Microsoft Learn and GitHub URLs into PocketBase, enabling powerful search and retrieval for AI agents.
Provides AI assistants with local access to Ramp's developer documentation, API schemas, and development guidance for seamless integration workflows.
Transforms any documentation website into searchable, AI-readable knowledge for AI assistants via the Model Context Protocol.
Automates systematic document organization, converts PDFs to Markdown, and enforces a universal project documentation standard.
Enables AI assistants to query and retrieve information from PDF files containing food service standards and preparation guidelines.
Facilitates learning Mandarin Chinese vocabulary for HSK levels 1-6 through interactive quizzes, spaced repetition, and comprehensive progress tracking.
Generates multi-language greetings and provides server capabilities through an HTTP-based Model Context Protocol server.
Provides access to Payman AI's documentation for AI assistants to aid developers with integration questions.
Provides a sample Model Context Protocol server exposing two basic tools for demonstration and development purposes.
Provides an environment for exploring the Model Context Protocol.
Offers a robust Model Context Protocol (MCP) server providing comprehensive development support for kintone customizations.
Generates structured reading summaries by searching and extracting content from educational articles on todamateria.com.br.
Exposes knowledge base operations as tools for AI agents, facilitating secure management and querying of a Django-backed knowledge base.
Enables Large Language Models to connect and interact with REST APIs by exposing data through a Model Context Protocol endpoint.
Imports Supernotes exports into Obsidian daily notes using the Model Context Protocol (MCP).
Demonstrates a minimal Model Context Protocol server using tools, resources, and prompts.
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