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    Enables AI agents to retrieve the latest semantic version tags for container images from Docker Hub, GHCR, Quay, and other OCI registries, allowing them to pin specific versions for reproducible deployments.
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    Enables AI coding agents to retrieve the latest stable versions of packages and tools across multiple ecosystems, preventing outdated dependency versions in generated code.
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    Apache 2.0
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    Enables AI assistants to interact with Coolify self-hosted instances for application deployment, management, and monitoring. Features 4 unified tools optimized for VS Code's limits, covering app management, environment configuration, system administration, and built-in documentation.
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    MIT
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    Multi-persona engineering mentor with 64 specialized AI personas that injects engineering standards before Claude reasons, transforming passive documentation into active collaborative guidance.
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    Apache 2.0
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    An MCP server that enables AI-powered IDEs to implement a structured development workflow from requirements gathering to code implementation, guiding users through goal collection, requirements specification, design documentation, task planning, and execution.
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    MIT
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    Enables issue-to-code automation for GitHub and GitLab by connecting AI assistants (Claude Code, Gemini CLI, Codex) via MCP, with slash commands for issue analysis, planning, implementation, testing, documentation, and PR creation.
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    A secure, containerized MCP server that enables AI assistants to manage Terraform infrastructure using integrated Language Server Protocol (LSP) tools. It facilitates safe operations like initialization, validation, and planning while providing context-aware code completion and documentation.
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    MIT
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    Enables intelligent Kubernetes deployments, automated documentation testing, organizational pattern management, and shared prompt libraries. Provides AI-powered recommendations based on cluster capabilities and automates DevOps workflows through conversational interfaces.
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    MIT
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    Once configured, you can use natural language commands like: "Search for failed builds in the last week" "Why last deploy was failed" "Search the most failed builds" "Trigger a build for the main branch" "Show me recent builds for project X" "Pin the latest successful build" "Cancel the running bui
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    MIT
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    Enables AI assistants to query Maven artifacts in JFrog Artifactory by reusing credentials from ~/.m2/settings.xml and providing tools like getting latest stable versions, listing artifacts, and checking dependency updates.