Computer is answering right now. Last checked 6 min ago. Last commit 12 Oct 2026.
A private persistent computer: files and a bash shell that survive between runs.
We read the source, 7 h ago · rules ccca72095570
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
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const child = spawn(TSX, args, {
model_path = os.path.join(UPSCALER_MODEL_PATH, model_name)
…ger"),Jt=iv.build();var Ja=e=>e.ids?.positioner??`dialog:${e.id}:positioner`,Qa=e=>e.ids?.backdrop??`dialog:${e.id}:backdrop`,ji=e=>e.ids?.content??`dialog:${e.id}:content`,$i=(e,t)=>{let n=e.ids?.trigger;return n!=null?Be(n)?n(t):n:t?`dialog:${e.id}:trigger:${t}`:`dialog:${e.id}…
result = subprocess.run(
allowedHosts: [".trycloudflare.com"],
USER root
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.
claude mcp add computer --transport http https://gen.pollinations.ai/mcp/computer
{
"mcpServers": {
"computer": {
"url": "https://gen.pollinations.ai/mcp/computer"
}
}
}
[mcp_servers.computer]
url = "https://gen.pollinations.ai/mcp/computer"
{
"mcpServers": {
"computer": {
"url": "https://gen.pollinations.ai/mcp/computer"
}
}
}
{
"mcpServers": {
"computer": {
"url": "https://gen.pollinations.ai/mcp/computer"
}
}
}
This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://gen.pollinations.ai/mcp/computer | streamable-http | needs auth | 26 ms | 6 min ago |
Sophisticated bash command MCP server that runs and manages shell execution.
Persistent code memory for AI agents: notes pinned to files and symbols that survive refactors.
Run shell commands on remote computers with optional per-command approval, using only curl and bash.
I run shell commands on your private cloud environment (bash, sh, zsh)
Persistent cloud workspaces for AI agents: run commands, edit files, use git and a browser.
Persistent Linux computers for AI agents: desktop, signed-in browser, vault, apps and shell.
Give your agent a persistent workspace: files, a code sandbox and a public URL to publish to.
Large files and secrets between people and agents, never through the chat or the model.
Answers built from our own checks of this server.