A
licenseB
qualityA
maintenanceAn MCP server for safely inspecting, editing, and synchronizing Google Colab-compatible .ipynb notebooks through Google Drive.
Last updated
16
MIT
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?
Prepares and edits notebooks compatible with Google Colab, normalizing Colab-specific metadata during downloads, and providing a URL to open notebooks in Colab.
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?
Executes Python code on Google Colab GPU runtimes, enabling GPU-accelerated computation such as CUDA, PyTorch, and TensorFlow without local GPU hardware.
AlicenseAqualityDmaintenanceMCP server that allocates Google Colab GPU runtimes (T4/L4) and executes Python code on them. Lets any MCP-compatible AI assistant run GPU-accelerated code without local GPU hardware.Last updated36MITWhy this server?
Provides tools for controlling Google Colab notebooks, including adding, editing, running, and deleting cells, as well as managing runtime and GPU assignments.
AlicenseAqualityAmaintenanceEnhanced fork of Google's Colab MCP, pre-registers all 7 notebook tools at startup (get_cells, add/run/update/delete/move_cell, add_text_cell), adds programmatic GPU control (T4/L4/A100) via OAuth, and fixes the "Disconnected from local server" issue with IPv4-only bind, PNA CORS headers, and stale-tab dedup. Works on Chrome, Edge, Windows, macOS, Linux.Last updated95Apache 2.0Why 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-qualityDmaintenanceEnables 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-qualityCmaintenanceA 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