Retrieve general information about an API, including endpoints, data models, and structure, to explore large OpenAPI schemas efficiently without loading entire schemas into LLM context.
Modifies details of specified loyalty programs, including name, description, external identifier, and active status, within the Mews MCP environment. Ensures accurate and up-to-date loyalty program information.
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.