A comprehensive Model Context Protocol server that enables AI assistants to search and retrieve content from Reddit, YouTube, and Twitter through simple API calls.
MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to:
Submit and validate constraint models
Set model parameters
Solve constraint satisfaction and optimization problems
Retrieve and analyze solution
A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.
Enables access to South Korea's Ministry of Gender Equality and Family youth activity information through public data API, supporting regional searches, keyword filtering, and activity discovery for youth programs.