Learning & Documentation MCP Servers

Homelab

Automates the setup and management of a personal home lab environment using modern infrastructure tools.

Seta

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

PyRag

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AI coding assistants with access to current, comprehensive Python library documentation, eliminating frustration from outdated examples and incorrect information.

DaisyUI

Provides a token-efficient local server to give AI assistants access to DaisyUI component documentation.

Entscheidsuche

Provides standardized access to Swiss court decisions via the entscheidsuche.ch API, enabling LLMs to search, retrieve, and analyze legal documents.

Party Time

Responds with 'It's Party Time' when asked about the current time via the Machine Conversation Protocol.

Node.js Command-Line

Develops a custom MCP server and client for concept testing using Node.js, TypeScript, and Gemini AI.

Lichtblick

Provides clarity and a new perspective on learning the German language through an AI-powered approach.

Albumentations

Transform images using natural language prompts and powerful augmentation techniques via the MCP protocol.

SSE Server Sample

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

OOREP

Provides AI assistants with access to OOREP (Open Online Repertory), a comprehensive homeopathic repertory and materia medica database, via the Model Context Protocol.

Note-Taking

Manages personal notes with structured tagging and markdown support, seamlessly integrating with AI conversation platforms like Claude Desktop.

Git Spice Help

Provides real-time search and integration of git-spice documentation within Cursor IDE using the Model Context Protocol.

Boilerplate

Provides a minimal, production-ready server boilerplate for the Model Context Protocol (MCP) with built-in examples.

SaaSus Docs

Provides access to SaaSus Platform documentation search and content via Model Context Protocol (MCP) for AI clients like Claude Desktop and Cursor.

Notifly

Provides semantic search across Notifly documentation and SDKs to streamline integration processes for developers.

Model Context Examples

Offers a collection of example server implementations for Model Context Protocol development, featuring real-time weather alerts and web search integration.

Diagram as Code

Validates and assists in authoring Mermaid.js diagrams for MCP clients by addressing common syntax issues.

LocalDocs

Creates a local database of indexed and optimized technical documentation, enabling AI agents to efficiently query and retrieve information from web sources and local files.

TLDR

Provides access to simplified `tldr` command-line documentation as an MCP server.