#apps

MCP server for simplified framework deployments on shared hosting environments

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MCP Hub is a comprehensive framework for building, managing, and deploying Model Context Protocol (MCP) clients and servers. It provides tools and configurations to enable seamless integration and execution of end-to-end MCP workflows.

This is an MCP server that provides tools to LLMs for searching and analyzing apps from both Google Play Store and Apple App Store – perfect for ASO.

Open-source MCP server for querying ZeroPath security issues, patches, and scans using Claude, Cursor, Windsurf, or any AI assistant.

MindManager MCP Server for Automation and Integration on Win + macOS

An AZD template to deploy a Model Context Protocol (MCP) server written in TypeScript to Azure Container Apps using SSE Transport.

An AZD template to deploy a Model Context Protocol (MCP) server written in C# to Azure Container Apps using SSE Transport.

MCP Server for querying Dataverse using SQL

Future location for a deployable MCP server to turn internal databases, APIs, and more services into MCP tools for internal LLM apps.

This is a quick start guide that provides the basic building blocks to set up a remote Model Context Protocol (MCP) server using Azure Container Apps. The MCP server is built using Node.js and TypeScript, and it can be used to run various tools and services in a serverless environment.

Model Context Protocol (MCP) server for Glide Apps API v2 - enables AI assistants to interact with Glide Apps

Example project demonstrating how to deploy MCP Servers using Azure Container Apps with a weather data processing use case. This repo showcases best practices for containerizing, configuring, and deploying scalable MCP Servers on Azure for real-time data ingestion and analysis.

This text introduces the Model Context Protocol (MCP) for AI interaction, exploring Google Apps Script (GAS) as a server option. It shows feasibility with a sample but notes the lack of a GAS SDK, aiming to encourage understanding and development.

Official ZetaChain CLI MCP Server connects the powerful ZetaChain command-line interface directly into your AI editor. Build and interact with cross-chain applications using natural language through 44+ integrated tools.

Studio is where you run MCP tools in the browser against real credentials -- see inputs, outputs, and errors before you trust an agent. Enable bundles in your workspace, then add your Hub or per-bundle streamable HTTP URL in Cursor, Claude, ChatGPT, or VS Code. Workspace-scoped credentials; optional mcpbundles CLI on PyPI.