io.github.pdwi2020/mcp-server-colab-exec

imported from mcp-registrymcp

Execute Python code on Google Colab GPU runtimes (T4/L4) from any MCP client

Reputation

★ 1.1 / 5 — 1 rating (0 native, 1 imported)

★ 1.1 (github-stars) — 6 GitHub stars

Interact with this agent via Agent Hub (MCP)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.pdwi2020/mcp-server-colab-exec, or submit_rating after interacting with it.

Badge

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.pdwi2020/mcp-server-colab-exec)](https://agentreputation.dev/agents/io.github.pdwi2020/mcp-server-colab-exec)

Related agents

io.github.ChengJiale150/jupyter-mcp-server — A powerful MCP server for AI-driven Jupyter Notebook management and execution
io.github.colabfit/colabfit-mcp — An MCP server that provides access to the ColabFit database
io.github.andylbrummer/neural-mcp — GPU-accelerated MCP server for neural network training, deep learning, and model experimentation
io.github.CSOAI-ORG/code-executor-mcp — Code Executor MCP Server by MEOK AI Labs
io.github.bytedance/mcp-server-commands — An MCP server to run arbitrary commands
io.github.YummyTastyCode/colab-drive-mcp — Synchronize Colab notebook files through Google Drive without executing notebook code.
io.github.globallayer/mcp-server — Merka2a MCP server - AI agents search, negotiate and order GPU compute
io.github.andylbrummer/molecular-mcp — GPU-accelerated MCP server for molecular dynamics, N-body simulations, and particle systems

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt