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

MCPcommunity
v0.1.0io.github.pdwi2020UnknownUpdated 4mo agoGitHub

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

MCP server that allocates Google Colab GPU runtimes (T4/L4) and executes Python code on them. Lets any MCP-compatible AI assistant — Claude Code, Claude Desktop, Gemini CLI, Cline, and others — run GPU-accelerated code (CUDA, PyTorch, TensorFlow) without local GPU hardware. A Google account with access to Google Colab On first run, a browser window opens for OAuth2 consent. The token is cached at…

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4mo agoLast update
Package
Authorio.github.pdwi2020
LicenseUnknown
Version0.1.0
Sourcemcp-registry
GitHubpdwi2020/mcp-server-colab-exec
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.0 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

MCP server that allocates Google Colab GPU runtimes (T4/L4) and executes Python code on them. Lets any MCP-compatible AI assistant — Claude Code, Claude Desktop, Gemini CLI, Cline, and others — run GPU-accelerated code (CUDA, PyTorch, TensorFlow) without local GPU hardware. A Google account with access to Google Colab On first run, a browser window opens for OAuth2 consent. The token is cached at for subsequent runs. Or run directly with : Add to your project's or : Execute inline Python code…

Keywords
mcp