Learning & Documentation MCP Servers

Canvas LMS

Enables student access to Canvas LMS resources through an MCP server.

Party Time

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

Introduction To

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

Learn MCP By Building

Implement the Model Context Protocol (MCP) by building AI tools with a modular framework for creating MCP-compatible servers and clients.

Rememberizer

Enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer's API.

Github

Documents the setup and configuration process for a GitHub Model Context Protocol (MCP) server.

Jayanth-MKV

Explore and learn about Model Context Protocol (MCP) server implementations through a collection of experimental servers.

Instruction Server

Provides AI assistants access to a library of structured markdown instructions via the Model Context Protocol (MCP).

Go

Enables AI assistants to access Go documentation and package listings via the Model Context Protocol.

473 Project

Integrates with the NASA API to provide users with space-related information and imagery.

Server Learning

Provides a learning environment for understanding and implementing Model Context Protocol (MCP) servers.

CrazyrabbitLTC Expert

Generates intelligent queries and documentation assistance for APIs using Claude AI.

Arxiv Search

Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.

Zotero

Integrates with Zotero, enabling AI applications to access and manipulate Zotero libraries.

Seta

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

Model Context Provider

Provides a server for managing model context during development and learning.

Docs Search

Enables LLMs to dynamically search and retrieve up-to-date documentation from popular AI libraries.

Etabs Documentation Assistant

Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.

Ladeira Learning

Provides resources for learning how to build servers for connection to Large Language Models (LLMs) using Langchain.

Perplexity

Enhances Claude's web search capabilities using Perplexity's API, offering intelligent model selection, domain filtering, and recency control.