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Manage long-running development processes and logs from MCP hosts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "runkeep-mcp" yet — see the docs or source repo.
Use runkeep-mcp to start my frontend development server and return its process status.
A start result plus the current status of the managed process.
Check the logs of the current managed compiler process and help me find the latest error messages.
Process log output with recent errors or abnormal messages highlighted.
Restart the running watcher process, then confirm whether it is back to normal.
A restart result and confirmation of the post-restart running status.
Developers using an MCP host can start, stop, or restart dev servers, compilers, and watchers in one place, reducing terminal switching.
When a long-running development process behaves unexpectedly, users can inspect status, view logs, and send input to the managed process for troubleshooting.
In workflows that need automated handling of development tasks, it can control starting, stopping, and restarting managed processes for more reliable execution.
It is an MCP tool for managing long-running development processes from MCP hosts, such as dev servers, compilers, and watchers. It provides start, stop, restart, status checking, log viewing, and input sending capabilities.
The provided information explicitly mentions long-running development processes such as dev servers, compilers, and watchers. For more details, see the source repository.
A known prerequisite is that it is used within an MCP host environment. The provided material does not specify installation steps, runtime requirements, or extra configuration, so see the source repository.
Start, stop, and monitor background shell processes without blocking chat.
Control CLI processes through MCP for execution, interaction, and output retrieval.
Securely start, monitor, and manage whitelisted processes for development workflows.
Safely manage Runn API resources through MCP with read, write, and dry-run tools.
Give AI full visibility into your local development environment for faster troubleshooting.
Install, run, restart, and monitor local MCP servers on Windows.