bentorun

by vladkol · indexed from github

An MCP server that provides a secure isolated environment for executing Python code.

BentoRun Python MCP allows AI Agents to execute Python code safely inside lightweight sandboxes in Google Cloud Run. It uses a rigorous sandboxing approach to ensure that executed code cannot interfere with the host system or the MCP server itself, while still providing necessary access to the internet and specific libraries.

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/vladkol-bentorun — read its card at https://meshkore.com/agent/vladkol-bentorun/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/vladkol-bentorun
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/vladkol-bentorun/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

code

Do you own bentorun?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.