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Let AI discover, run, and inspect Justfile recipes over MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "just-mcp" yet — see the docs or source repo.
Use just-mcp to read the current project's Justfile and list all available recipes with a brief purpose for each.
A list of Justfile recipes in the project, with a short explanation of what each one does.
Use just-mcp to run the build recipe from the Justfile and tell me the execution result.
The specified recipe is executed, and the tool returns the status or a summary of the result.
Use just-mcp to inspect the test recipe in the Justfile and explain its definition and likely commands.
Details about the recipe definition, helping the user understand how the task is executed.
When onboarding to a new project, developers can use just-mcp to let AI read and organize the recipes in a Justfile. This helps them quickly understand existing build, test, or scripting entry points.
Developers or DevOps users can ask AI to execute a Justfile recipe through MCP instead of manually finding and typing commands. This is useful for bringing common project tasks into AI assistant workflows.
When a team needs to confirm what a Justfile task does, they can use just-mcp to let AI inspect and explain the recipe definition. This makes automation scripts easier to understand.
It is an MCP server that connects the Just command runner to AI assistants. Through MCP, the AI can discover, execute, and inspect Justfile recipes.
Based on the description, it requires the Just command runner and an AI assistant that supports the MCP protocol. For exact installation and runtime prerequisites, see the source repository.
Its focus is on Justfile recipes, including discovering, running, and inspecting them, rather than simply executing arbitrary commands. In other words, it is more aligned with Just-based project task management.
Expose Justfile commands to AI for discovering and running project tasks.
Build, debug, and manage software tasks with natural language across LLMs.
Automate task breakdown, dependency tracking, and smart project recommendations.
Help AI agents navigate, search, and understand codebases and change history.
Connect to the mcp API via MCP to extend AI tool capabilities.
Let AI perform calculations, search knowledge, and handle basic email tasks.