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Enable AI agents to run commands, manage files, and navigate IDE projects.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "obox-mcp" yet — see the docs or source repo.
Use obox-mcp to inspect the current project directory, list the main folders and key config files, and explain their purposes.
A project structure overview with explanations of major files and configurations.
Use obox-mcp to run the test command in the project and summarize the results and failed cases.
Command execution results plus a summary of passed tests and failures.
Use obox-mcp to navigate this codebase, find files related to the login flow, and explain how they connect.
A list of relevant files with a brief explanation of call or dependency relationships.
Developers can use it to let AI agents execute system commands and handle common development operations while working in the IDE. This reduces manual context switching and repetitive work.
When team members need to get familiar with a project quickly, it helps AI agents browse directories, inspect files, and locate key modules. It is useful for code reading and project structure discovery.
When file updates or command-line assisted code tasks are needed, it lets AI agents manage files and navigate the project. This is useful for improving day-to-day development productivity.
It is an MCP toolkit for development workflows that enables AI agents to autonomously execute system commands, manage files, and navigate projects within the IDE.
Based on the provided information, it mainly supports three capabilities: executing system commands, managing files, and navigating projects in the IDE. For more detailed scope, see the source repository.
The provided material does not include installation steps, runtime requirements, or API key information. Please see the source repository for prerequisites.
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