Development · MODEL CONTEXT PROTOCOL

ForeverVM MCP Server

Securely run AI-generated code in stateful sandboxes that run forever.

WHAT IT CONNECTS

What ForeverVM MCP Server gives an AI Agent

The source catalog does not include a structured feature list. Review the repository documentation before use.

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

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repo version
cli npm
sdk npm

foreverVM provides an API for running arbitrary, stateful Python code securely.

The core concepts in foreverVM are machines and instructions.

Machines represent a stateful Python process. You interact with a machine by running instructions (Python statements and expressions) on it, and receiving the results. A machine processes one instruction at a time.

Getting started

You will need an API token (if you need one, reach out to paul@jamsocket.com).

The easiest way to try out foreverVM is using the CLI. First, you will need to log in:

npx forevervm login

Once logged in, you can open a REPL interface with a new machine:

npx forevervm repl

When foreverVM starts your machine, it gives it an ID that you can later use to reconnect to it. You can reconnect to a machine like this:

npx forevervm repl [machine_name]

You can list your machines (in reverse order of creation) like this:

npx forevervm machine list

You don't need to terminate machines -- foreverVM will automatically swap them from memory to disk when they are idle, and then automatically swap them back when needed. This is what allows foreverVM to run repls “forever”.

Using the API

import { ForeverVM } from '@forevervm/sdk'

const token = process.env.FOREVERVM_TOKEN
if (!token) {
  throw new Error('FOREVERVM_TOKEN is not set')
}

// Initialize foreverVM
const fvm = new ForeverVM({ token })

// Connect to a new machine.
const repl = fvm.repl()

// Execute some code
let execResult = repl.exec('4 + 4')

// Get the result
console.log('result:', await execResult.result)

// We can also print stdout and stderr
execResult = repl.exec('for i in range(10):\n  print(i)')

for await (const output of execResult.output) {
  console.log(output.stream, output.data)
}

process.exit(0)

Working with Tags

You can create machines with tags and filter machines by tags:

import { ForeverVM } from '@forevervm/sdk'

const fvm = new ForeverVM({ token: process.env.FOREVERVM_TOKEN })

// Create a machine with tags
const machineResponse = await fvm.createMachine({
  tags: { 
    env: 'production', 
    owner: 'user123',
    project: 'demo'
  }
})

// List machines filtered by tags
const productionMachines = await fvm.listMachines({
  tags: { env: 'production' }
})

Memory Limits

You can create machines with memory limits by specifying the memory size in megabytes:

// Create a machine with 512MB memory limit
const machineResponse = await fvm.createMachine({
  memory_mb: 512,
})
View README on GitHub

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