A Model Context Protocol server that enables programmatic querying of Azure resource pricing information from the Azure Retail Prices API through a structured four-step workflow.
Provides AI assistants with real-time access to Azure retail pricing information, enabling price searches, regional cost comparisons, monthly bill estimates, and SKU discovery through natural language queries.
Enables scraping and comparing pricing information for LLM inference services across multiple providers (CloudRift, DeepInfra, Fireworks, Groq) using Firecrawl API and SQLite storage.
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.
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