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Gives an agent terminal access and file-management capabilities.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "gremlin-mcp" yet — see the docs or source repo.
Run this Python script in the terminal and summarize the output for me:
print('hello')Returns the script output, and any errors if they occur.
Search the current project for all files containing "TODO" and list file paths with matching lines.
Outputs matching file paths, matched lines, and nearby context.
Create a notes.txt file in the project, write three to-dos for today, and save it.
Creates or updates the target file and confirms the written content.
Developers can use it to run shell or Python commands while debugging locally. It also helps inspect execution results and errors quickly.
When you need to search, read, create, edit, or delete files and folders, this tool can do the work. It fits day-to-day maintenance of codebases and text files.
It is useful for handing repetitive terminal and file-management steps to an agent. That makes repeated tasks in dev or ops workflows easier.
It is an MCP server that gives an agent terminal and file-management capabilities, including running shell/Python commands, searching and reading files, and creating/editing/deleting files and folders.
It can search, read, create, edit, and delete files and folders. It also supports running commands through a terminal.
It is an MCP server, so it needs to be used in an MCP-capable environment; for exact setup and configuration, see the source repository.
Securely run development and DevOps tasks with terminal, files, and memory.
Run terminal commands, execute Python, and manage files for local automation.
Manage Git tasks, agent templates, and project utilities more efficiently.
Safely read, write, and manage files in a local AgentFiles directory.
Search files recursively and find matches using natural language and grep options.
Connect AI agents to IBM OpenPages for GRC queries and workflow actions.