MPO

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MPO is a comprehensive server built with FastMCP, designed to bridge the gap between AI assistants and your critical development and data infrastructure. It allows Large Language Models to seamlessly browse GitHub repositories, search code, manage pull requests, retrieve Confluence documentation, and query Databricks Unity Catalog metadata. Its modular design ensures flexibility, allowing users to configure only the services needed while providing secure, environment-based credential management for robust and adaptable integration.

Características Principales

• Flexible Configuration: Modular design with environment-based setup supporting GitHub, Confluence, and Databricks with secure API token management.
• Comprehensive Tool Set: Provides 6 GitHub tools for repository management, 5 Confluence tools for documentation, and 10 Databricks tools for Unity Catalog and SQL execution.
• Service Validation: Automatically validates configurations at startup, exposing tools only for properly configured services with clear error messages.
• Built with FastMCP: Leverages a modern, decorator-based framework for building MCP servers with minimal boilerplate.
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• Multiple Usage Modes: Operates as an interactive LLM assistant, a direct MCP server for clients like Claude Desktop, or a command-line interface.

Casos de Uso

• Empowering AI assistants to autonomously perform software development tasks like code search, documentation retrieval, and pull request management.
• Automating complex data and development workflows through a robust command-line interface for direct tool invocation.
• Integrating with Model Context Protocol (MCP) clients such as Claude Desktop to enable natural language interaction with development and data systems.