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maintenanceLocal-first MCP server for controlling Google Colab as a development, shell, file, and training runtime, with tools for notebook editing, GPU acceleration, and file transfer.
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Apache 2.0
Best Google Colab MCP Servers
Google Colab is a free cloud-based platform that allows users to write and execute Python code through a browser, particularly for machine learning, data analysis, and education. It provides access to GPU and TPU computing resources.
Why this server?
Controls Google Colab as a development, shell, file, and training runtime, providing tools for notebook editing, runtime management, file transfer, GPU monitoring, and more.
Why this server?
Connects local AI assistants directly to browser-based Google Colab notebooks, enabling execution of Python code and interaction with notebook states.
Why this server?
Allocates Google Colab GPU/TPU runtimes and executes Python code on them, supporting accelerators like T4, L4, A100, H100, G4, and TPUs V5E1, V6E1, with background execution and automatic runtime release.
Alicense-quality-maintenanceEnables MCP-compatible AI assistants to run Python code on Google Colab GPU/TPU runtimes, supporting accelerators like T4, A100, H100, with background execution and Google Drive integration.Last updated1MITWhy this server?
Enables remote control of Google Colab instances, allowing users to execute shell commands, run persistent Python code, and monitor system resources such as CPU, GPU, and RAM.
Flicense-qualityBmaintenanceA Model Context Protocol server that enables users to control and interact with Google Colab instances via a reverse proxy. It supports executing shell commands, running persistent Python code, and monitoring system resources like CPU, GPU, and RAM.Last updated