"Coca-Cola" matching MCP servers:

Provides access to over 2.5 million US alcohol label records from the TTB via the COLA Cloud API. It enables users to search for labels by brand, barcode, or permit holder and retrieve detailed product information including label images and ABV.

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.

Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.

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.

An MCP server for bridging your local agent to a Colab session in the browser.

An MCP server for interacting with Colab.

Enhanced 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.

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.

Enables AI agents to interact with the Colba API for managing workflow pipelines, processes, and approval requests.

Enables AI assistants to interact with Coda docs, pages, tables, rows, formulas, and more via the Coda API, offering 54 tools, 12 resources, and 5 prompts for comprehensive document management.

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

An MCP server that incrementally indexes repositories and documents into a Postgres + pgvector store using CocoIndex, and exposes semantic search over them.

A Model Context Protocol server that gives AI assistants access to 7 search providers with intelligent auto-routing. Analyzes query intent and picks the best provider automatically — no manual switching needed. Install, configure your keys, and go.

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

Enables AI-powered document automation and data manipulation with Coda.io through the Model Context Protocol, supporting document, page, table, row, and formula operations.

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.

An MCP server that bridges local AI agents to Google Colab notebooks, enabling execution of Python code and interaction with notebook states directly from the agent.

Local-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.