"Google Colab" matching MCP servers:

Enables 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.

Enables local agents to connect to and interact with Google Colab sessions running in the browser.

MCP 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.

Enables local coding agents to manage disposable Colab GPU runtimes, restore and save Google Drive checkpoints, execute scripts, and safely stop VMs through MCP stdio tools.

Bridges a local agent to a Colab session in the browser, enabling seamless interaction with Colab from local clients.

An MCP server for safely inspecting, editing, and synchronizing Google Colab-compatible .ipynb notebooks through Google Drive.

Lets any MCP-compatible agent use Google Colab or Jupyter runtimes as an execution backend, enabling code execution, notebook management, package installation, hardware introspection, training jobs, and file handling.

A Model Context Protocol server that gives Codex and other MCP clients access to Google Colab runtimes—allowing session allocation, command execution, notebook management, file operations, and data transfers.

Enables agents to control Google Colab notebooks through a secure, headless WebSocket architecture, allowing cell creation, editing, execution, and inspection without browser automation.

Enables 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.

Enables offloading heavy CPU/ML workloads to free Google Colab from any MCP client, with automatic job management and free-tier enforcement.

Enables 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.

Enables MCP clients to execute Python code on Google Colab GPU/TPU runtimes via the official Colab CLI, with session, file, and package management capabilities.

Enables AI agents to query live trend data and historical search volume across 30+ platforms like Google, TikTok, YouTube, Amazon, and Reddit, including growth comparisons and top-ranking trends.

MCP server for Google Search using a logged-in browser profile, delivering personalized, ad-free results with advanced operators and pagination. It also fetches web pages as markdown through the same browser session.

A local MCP server that enables LLMs to securely search and read files within designated Google Drive folders. Supports Google Docs, Google Sheets, PDFs, and plain text with strict folder-scoping via service account authentication.

Connects Google Analytics 4 data to Claude, Cursor and other MCP clients, enabling natural language queries of website traffic, user behavior, and analytics data with access to 200+ GA4 dimensions and metrics.

MCP server that integrates Google News and Google Trends, enabling AI models to fetch news, analyze search interest, calculate growth rates, and summarize articles.

Enables AI assistants to access Google Maps services including places search, details, directions, geocoding, and nearby search through natural language.

MCP server for querying your local Google Takeout activity (Search/YouTube history) via SQLite/FTS5. Provides tools for keyword search, activity stats, and database info, enabling AI assistants to cite your personal history.