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    An MCP server that enables AI assistants to discover and execute Nox sessions for project automation tasks like testing, linting, and building. It provides tools to list available sessions and run them using specific Python versions, tags, or keyword expressions.
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    MIT
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    Local-only GitHub Actions and CI maintenance scanner for AI-built apps. Exposes scan, explanation, and fix-planning tools to MCP clients; modifies nothing and makes no outbound requests by default.
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    1
    MIT
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    This MCP server enables users to manage Codemagic CI/CD builds directly from Claude Code, including listing apps, triggering builds, checking status, and canceling builds.
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    MIT
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    Enables building MSBuild projects and solutions by dynamically locating MSBuild and providing customizable build options, with clear error reporting and cross-client compatibility.
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    MIT
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    An MCP (Model Context Protocol) server that integrates with the ArgoCD API, enabling AI assistants and large language models to manage ArgoCD applications and resources through natural language interactions.
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    MIT
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    Enables AI assistants to inspect, query, and diagnose problems within Octopus Deploy instances. Provides read-only access to deployments, releases, projects, environments, and other DevOps resources to transform AI into your ultimate DevOps wingmate.
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    1,109
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    Mozilla Public 2.0
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    Tickstem is a developer infrastructure platform for production SaaS apps. This MCP server lets you manage cron jobs and verify email addresses directly from your AI coding assistant — no dashboard needed. Register jobs, check execution history, verify emails for syntax, MX records, disposable domains, and role-based prefixes, all through natural language.
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    2
    MIT
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    A local Python MCP server that exposes the Codemagic CI/CD REST API as Claude-callable tools. Trigger builds, manage apps, download artifacts, and clear caches — all from Claude Code or Claude Desktop without leaving the chat.
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    MIT
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    Enables AI agents to manage Databricks Lakeflow jobs by building and uploading Python wheels and triggering runs with specific arguments. It provides a structured way to orchestrate complex data experiments and monitor execution directly on Databricks clusters.
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    Enables building and cleaning Delphi projects (.dproj/.groupproj) on Windows using MSBuild with RAD Studio environment initialization. Supports both individual projects and group projects with configurable build configurations and platforms.
    Last updated
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    19
    MIT