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"Diagnosing Issues with My Remote Ubuntu Server Configuration" matching MCP servers:

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    Enables AI assistants to discover, filter, and triage GitHub issues across repositories, with tools for fetching issue details, listing issues by state/labels, and finding related pull requests.
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    MIT
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    Enables AI assistants to list, search, and inspect issues on any public GitHub repository via natural language.
    MIT
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    A remote MCP Server demo using FastMCP and Streamable HTTP, offering tools (add, now, fetch_url_title, long_task with progress), resources, prompts, and autocomplete for remote client connections.
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    Enables AI assistants to control Ubuntu desktops through screenshots, mouse clicks, and keyboard interactions using AT-SPI integration and computer vision. It features optimized element detection and workflow batching for fast and accurate visual interaction with desktop applications.
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    MIT
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    Provides a read-only summary of Ubuntu server status including system version, resource usage, apt updates, service health, security logs, and hardware information to AI clients via MCP tools.
    MIT
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    A secure file management MCP server enabling file operations like listing, reading, creating, renaming, moving, copying, deleting, and searching within a restricted workspace.
    10
    MIT
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    A template MCP server that provides a basic structure and configuration for building Model Context Protocol servers. Includes Docker support, environment configuration, and examples for both STDIO and SSE transport modes.
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    A Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.
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    A secure protocol server that allows AI assistants to safely interact with Ubuntu systems through controlled file operations, command execution, package management, and system information retrieval.
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    MIT
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    A production-ready template for developing Model Context Protocol (MCP) servers using Python and FastMCP, with example tools like a multiply calculator, code review prompt generator, and Red Hat logo tool.
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    A demonstration FastMCP server with FastAPI integration that provides basic arithmetic operations, personalized greetings, and a stock analyst prompt template for Claude.ai.