Centralized management of AI tool configurations (rules, commands, MCP servers) with streamlined setup for global and project-specific environments.
PLUMED2 Smart Input Generator - An MCP-based assistant for molecular dynamics enhanced sampling configurations that automatically generates optimized PLUMED input files, supporting metadynamics, umbrella sampling, and other enhanced sampling methods with built-in syntax validation and performance optimization.
Computer use SDK for building agents that learn from human screen recordings. Accessibility-first. Cross-platform (Windows/macOS/Linux), pre-trained deterministic workflows with AI fallback.
Custom Model Context Protocol (MCP) server implementations bridging LLMs to tools & APIs (Weather, Pokémon, etc.). Practical examples w/ Typescript.
RCS Quikmail is a Model Context Protocol (MCP) server for sending email using natural language. RCS Quikmail uses post-quantum encryption to secure the client-server message exchange.
A MCP server that allows you to search and retrieve content on any wiki site using MediaWiki with LLMs 🤖 wikipedia.org, fandom.com, wiki.gg and more sites using Mediawiki are supported!
The llms-txt-server provides a standardized interface for LLMs to interact with websites that support the llms.txt protocol.
This project automates email-based user registration for LLM apps using the Model Context Protocol (MCP). It acts as a simple backend that receives email addresses from users, registers them with an MCP-compatible LLM server, and returns the generated API key or access token.
File Context is a tool that allows developers to work with their codebase in a more contextual manner. It provides a web interface for exploring, searching, and understanding your code, enhanced with AI capabilities.
A powerful and flexible Node.js Express server that provides a comprehensive interface to the CoinGecko cryptocurrency data API. This server supports both the free public API and the Pro API with automatic fallback.
An MCP-enabled AI frontend for chatting with ChatGPT, Claude, Gemini, and other popular LLM models.
This repository contains examples demonstrating the use of Spring AI and the Model Configuration Protocol (MCP), as featured in the German JavaMagazin article on entwickler.de





























































































