The Azure Impact Reporting MCP Server is a tool that allows large language models to automatically parse user requests and submit reports on Azure resource issues. It supports multiple impact categories and automatically handles authentication and parameter extraction.

A server based on the MCP protocol, used to integrate Codelogic's software dependency data into AI programming assistants, providing code method and database impact analysis tools.

XRAY MCP is a progressive code intelligence tool designed for AI assistants. It provides structured code analysis capabilities through ast-grep, helping AI understand the code repository structure, symbol relationships, and change impacts without complex configuration or a language server.

USGS Water Quality Data MCP server, an API toolset for the USGS water resources that provides queries for real-time water levels, flows, flood impacts, and monitoring site metadata.

The Azure Impact Reporter MCP Server is a tool that enables large language models (LLMs) to automatically report resource issues to Azure. It processes user requests through natural language, automatically authenticates Azure accounts, and submits resource impact reports via the management API.

An MCP server project that uses Codelogic's software dependency data in an AI programming assistant to provide a code impact assessment tool.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connection and use through the MCP Inspector and Claude Desktop client.

An open - source MCP server implementation for monitoring website performance and environmental impact