Learning & Documentation Servidores MCP

Party Time

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

Canvas

Enables AI assistants to interact with the Canvas LMS platform.

Perplexity

Integrates Perplexity AI into Model Context Protocol (MCP)-based systems.

Sefaria Jewish Library

Enables Large Language Models to retrieve and reference Jewish texts from the Sefaria library through a standardized interface.

Student

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

Metaplex

Provides access to Metaplex documentation and repository information through the Model Context Protocol.

Unix Manual

Provides Unix command documentation directly within LLM conversations.

Gauntlet-Incept

Generates high-quality educational content tailored to students' knowledge levels and interests using a Model Context Protocol (MCP) server.

Get Terminal Logs

Provides instructions on how to set up terminal logs, with video tutorials.

Seta

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

Content Manager

Offers a robust content management solution through a TypeScript-based server for Markdown processing, document generation, and intelligent note searching.

ProjectDocHelper

Automatically generates project documentation and serves it via MCP to improve AI development tool accuracy.

Hyperskill

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

AutoGen

Empowers AI assistants to search and retrieve comprehensive Microsoft AutoGen documentation across various versions.

Model Context Examples

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

Server 101

Facilitates seamless integration and interaction with various documentation sources using the Model Context Protocol (MCP).

SSE Server Sample

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

Homelab

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

Celestial

Calculate positions, rise/set times, and details for celestial objects using astronomical data.

Rag Pipeline Research

Explores Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.