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This repository implements an MCP (Model Context Protocol) server that exposes various functionalities on an Azure Blob Storage account. It is based on the MCP SDK from Anthropic, which can be found at: https://github.com/modelcontextprotocol/python-sdk. It has sample code for an
MCP-BOS: Modular, extensible Model Context Protocol server framework with convention-based automatic module discovery. A flexible MCP server framework for Claude Desktop using concise module interfaces and declarative configuration, easily extend AI application capabilities without modifying core code. Supports FastMCP standard with complete tool, resource, and prompt template registration capabilities
AI-powered Jenkins pipeline intelligence platform with natural language interface. Provides comprehensive pipeline analysis, failure prediction, optimization suggestions, and automated Jenkinsfile reconstruction using Model Context Protocol (MCP) integration.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
