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licenseB
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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?
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?
Connects local AI assistants directly to browser-based Google Colab notebooks, enabling execution of Python code and interaction with notebook states.
Why 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 updated97Apache 2.0Why 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?
Provides tools for executing Python code, running shell commands, uploading/downloading files, and checking GPU status on a Google Colab instance.
Alicense-qualityFmaintenanceEnables Claude Code to execute shell commands, Python code, and file transfers on a Google Colab T4 GPU via an MCP server, bridging the GPU gap for AI coding agents.Last updated4MITWhy this server?
Allows offloading heavy CPU/ML tasks to free Google Colab runtimes from MCP clients, with job queue, auto-teardown, and checkpoint-resume.
Alicense-qualityCmaintenanceEnables offloading heavy CPU/ML workloads to free Google Colab from any MCP client, with automatic job management and free-tier enforcement.Last updated2MITWhy this server?
Provides AI agents with autonomous access to Google Colab GPU runtimes, enabling them to submit, monitor, debug, and restart training jobs via background job management and efficient metric summaries.
Alicense-qualityDmaintenanceEnables AI agents to autonomously manage Google Colab GPU sessions, submit and monitor training jobs, and debug/fix issues via an encrypted tunnel without requiring a browser tab.Last updatedMITWhy 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-qualityCmaintenanceEnables 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 updated1MIT