Learning & Documentation MCP Servers

Introduction To

Illustrates basic calculator operations using SSE and stdio transports with a minimal Model Context Protocol (MCP) server and client example.

Developer Roadmaps

Provides programmatic access to a comprehensive collection of developer roadmaps and their detailed content.

Tidymodels

Provides tools and resources for working with the tidymodels ecosystem in R.

LLM Chat Replay

Visually replays LLM chat transcripts with typing animation and playback controls, supporting markdown chat exports.

Prisma Cloud Docs

Provides search access to Prisma Cloud documentation and API references for MCP-compatible clients.

Tambo Docs

Serves Tambo documentation via a Model Context Protocol (MCP) server, enabling seamless integration with AI-powered development environments.

Seta

Powers an Model Context Protocol (MCP) server with documentation sourced from a local file system.

Quarkdown

Provides comprehensive Quarkdown document processing functionalities, enabling AI assistants to compile, validate, preview, and batch process documents via a standardized interface.

PyRag

Provides AI coding assistants with access to current, comprehensive Python library documentation, eliminating frustration from outdated examples and incorrect information.

SSE Server Sample

Provides a basic example of a Server-Sent Events (SSE) server implementation for the Model Context Protocol (MCP).

VSCode Examples

Automates common code development tasks through an AI-powered server.

Kickstart

Provides an interactive tutorial to learn Model Context Protocol (MCP) development.

Arxiv

Connects AI assistants to arXiv, enabling search, analysis, and download of research papers within AI workflows.

POML

Enhances and structures prompts using POML best practices for more reliable AI agent workflows.

Mi'kmaq Dictionary

Provides a comprehensive RESTful API for bidirectional Mi'kmaq language dictionary lookups and translations.

WaniKani

Integrates WaniKani learning progress and data with AI assistants, enabling personalized study strategies and real-time updates through natural conversation.

Hyperskill

Integrates with Hyperskill to enable AI agents to explain programming topics using Hyperskill's learning resources.

Custom Documentation Fetcher

Facilitates the retrieval of custom documentation.

Content Engineering

Provides direct, unprocessed access to raw Markdown content for AI models and content pipelines.

Apple Docs

Provides an AI-powered semantic search engine for Apple's technical documentation, leveraging an in-memory knowledge graph for understanding and retrieval.