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An MCP server for GitHub, Docker, and filesystem DevOps operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP DevOps Kit" yet — see the docs or source repo.
Check the latest state of this GitHub repository and list actionable DevOps steps.
Returns repo status, actionable steps, and relevant files or code locations.
Based on the current project, outline executable Docker steps and note any relevant image or container files.
Provides Docker workflow steps and points to relevant configuration files.
Read files in the current workspace and summarize the key deployment-related details.
Summarizes file contents and extracts deployment-related information.
DevOps or engineering teams can use it to quickly inspect repositories, containers, and local files during troubleshooting. It fits workflows that span GitHub, Docker, and filesystem access.
When you need repeated environment checks, file reads, or repository actions, it serves as a unified entry point. It is useful for chaining scattered DevOps actions into a workflow.
It is an MCP server that integrates GitHub, Docker, and filesystem operations for DevOps workflows.
It can perform operations and checks around repositories, containers, and local files to help organize deployment or operations information. See the source repository for exact capabilities.
It typically requires access to GitHub, Docker, and a local filesystem environment; see the source repository for configuration details.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Interact with GitLab merge requests, pipelines, and jobs through MCP tools.
Use natural language to manage databases, files, and GitHub workflows.
Give AI full visibility into your local development environment for faster troubleshooting.
Manage GitHub repositories, issues, and pull requests through MCP or REST.
Use MCP tools to manage GitHub repos, search code, and handle issues and pull requests.