Learning & Documentation MCP Servers

Clever Cloud Documentation

Exposes Clever Cloud's documentation through a Model Context Protocol (MCP) server.

Youtube Transcripts

Retrieves YouTube video transcripts in various formats for Large Language Model (LLM) integration.

Github Tutorial

Provides examples for interacting with the GitHub API to manage repositories and collaborate on projects.

Wix

Enables AI clients to interact with Wix tools and services, such as documentation search, code writing, and API calls.

Neurolorap

Analyzes code and generates documentation for projects.

Cardano

Streamlines Cardano blockchain integration by providing access to documentation, tools, and best practices for application developers.

Letter Counter

Counts letter occurrences within a given word, designed for use with LLMs.

Weather

Retrieves weather alerts and forecasts using the National Weather Service (NWS) API.

MCPHubs

Showcases projects related to Anthropic's Model Context Protocol (MCP).

Esignatures NDA Tutorial

Guides users through creating Non-Disclosure Agreements (NDAs) using eSignatures.

Motiondesignlv

Serves markdown documents from a local directory, providing a simple interface for managing and accessing them using the Model Context Protocol (MCP).

Sdof

Manages persistent memory and context for AI systems through a structured 5-phase optimization workflow.

Student

Manage educational context based on courses, assignments, and exams using a knowledge graph.

Mermaid Preview

Previews Mermaid diagrams while providing syntax error handling and GitHub repository visualization.

Practera

Enables AI models to query and analyze Practera learning data through a GraphQL API.

Owasp Cheat Sheets

Serves OWASP Cheat Sheet Series content via a minimal Model Context Protocol (MCP) compatible server.

Ragdoc

Augment AI responses with relevant context by retrieving and processing documentation through vector search.

Docs2Prompt

Enables documentation from GitHub repositories or websites to be converted into prompts suitable for Large Language Models (LLMs) through an MCP server.