Cinch

Name: Cinch
Author: yusufkadry

by yusufkadryversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.yusufkadry/cinch

Install

Overview

Description from the maker (original English)

Run AI-generated code safely. gVisor-isolated Python/JS sandboxes for any MCP client. Pay per run.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: CINCH_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: CINCH_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "cinch": {
      "command": "npx",
      "args": [
        "-y",
        "@cinch-codes/mcp"
      ],
      "env": {
        "CINCH_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add cinch --env CINCH_API_KEY=your-value -- npx -y @cinch-codes/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cinch": {
      "command": "npx",
      "args": [
        "-y",
        "@cinch-codes/mcp"
      ],
      "env": {
        "CINCH_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cinch": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cinch-codes/mcp"
      ],
      "env": {
        "CINCH_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

CINCH_API_KEY secret required env
Cinch API key from cinch.codes

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account yusufkadry, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32509 servers in this category
Published to the registry more recently than 19% of the other 32509 servers in this category
Basic checks equal to or better than 100% of the other 32509 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Cinch safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: CINCH_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Fomu MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday

Install

Fomu MCP

by gabrielmahia

Kenya government form guides: checklists, draft letters, eCitizen, Huduma, timelines. Sample data.

Runs on your computerUpdated today

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@cinch-codes/mcp

MCP server for Cinch. Gives your AI assistant a real sandbox to run code in.

Without it, an assistant writes code and you run it yourself. With it, the assistant runs the code and reads the actual output — inside a gVisor-isolated container on Cinch's infrastructure, with no access to your machine, filesystem, or local network.

Pay per execution. No subscription floor.

Setup

Get an API key at cinch.codes, then add the server to your MCP client.

Claude Desktop — claude_desktop_config.json:

"mcpServers": { "cinch": { "command": "npx", "args": ["-y", "@cinch-codes/mcp"], "env": { "CINCH_API_KEY": "cinch_live_..." } } } }

Claude Desktop on Windows — same file, but Windows can't spawn npx directly, so wrap it with cmd /c:

"mcpServers": { "cinch": { "command": "cmd", "args": ["/c", "npx", "-y", "@cinch-codes/mcp"], "env": { "CINCH_API_KEY": "cinch_live_..." } } } }

Claude Code (macOS/Linux):

claude mcp add --scope user cinch -e CINCH_API_KEY=cinch_live_... -- npx -y @cinch-codes/mcp

Claude Code (Windows):

claude mcp add --scope user cinch -e CINCH_API_KEY=cinch_live_... -- cmd /c npx -y @cinch-codes/mcp

Cursor — .cursor/mcp.json, same shape as the Claude Desktop config above.

Restart the client. That's it — no install step, npx fetches it on first run.

What it exposes

`execute_code`

Runs a self-contained Python or JavaScript program and returns stdout, stderr, exit code, and duration.

Parameter	Type	Default	Description
`code`	string	—	The complete program to run. Must print to stdout to return anything.
`language`	`python` \	`javascript`	`python`	Runtime to execute in.

Each call gets a clean sandbox. State does not persist between calls, so every snippet needs to stand on its own.

The sandbox environment

Deliberately minimal. Worth knowing before you wonder why an import failed:


Runtimes	Python 3.12, Node 20
Packages	Standard library only. No pip or npm packages are installed, and none can be installed at runtime.
Network	None. HTTP, DNS, and package installs all fail.
Filesystem	Root is read-only. `/tmp` is writable (64 MB) and destroyed when the run ends.
Memory	256 MB
CPU	0.5 cores
Time limit	10 seconds
Isolation	gVisor (`runsc`), all capabilities dropped, no-new-privileges, non-root user, 64-process cap

The tool description tells the model all of this up front, so it writes stdlib-only code instead of reaching for numpy and failing on the first call.

Configuration

Variable	Required	Default	Description
`CINCH_API_KEY`	yes	—	Your Cinch API key.
`CINCH_TIMEOUT_MS`	no	`20000`	Client-side timeout in ms. The API caps execution at 10s regardless.
`CINCH_BASE_URL`	no	`https://api.cinch.codes`	Override the API endpoint.

Troubleshooting

Windows: "Failed to connect" in `claude mcp list` — you're missing the cmd /c wrapper. Windows resolves npx to a batch script that can't be spawned directly; re-add the server using the Windows command above.

Windows: `npm error ENOENT ... AppData\Roaming\npm` — some Node installs never create npm's global folder, and npx refuses to run without it. Create it once and retry:

mkdir %APPDATA%\npm

Server exits immediately with "CINCH_API_KEY is not set" — the env var didn't reach the server. In Claude Code, put -e CINCH_API_KEY=... *before* the server name in claude mcp add. In config files, check the env block is inside the cinch entry.

Debugging any connection failure — run the server directly to see the real error instead of a generic status:

CINCH_API_KEY=cinch_live_... npx -y @cinch-codes/mcp   # macOS/Linux

set CINCH_API_KEY=cinch_live_... && cmd /c npx -y @cinch-codes/mcp   # Windows

Correct behavior is cinch-mcp ... ready followed by silence — an MCP server waits for a client. Anything else printed is the actual failure.

Why sandboxed execution

Code written by a model is untrusted code — nothing reviewed it before it ran. Executing it directly on your machine means handing it your filesystem, your network, and your credentials. Cinch runs it somewhere else entirely, in a disposable container with kernel-level isolation, and sends back only the output.

Notes

Requires Node 18 or newer.
Output is capped at 20,000 characters per stream to protect your context window; anything beyond that is truncated with a marker.
Runs that time out or exit non-zero are returned as tool errors, so the assistant knows the code failed and can correct it.
Out-of-credit responses are surfaced clearly and instruct the assistant not to retry, so a drained balance does not turn into a retry loop.

Links

MIT

Cinch

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Fomu MCP

README from the maker

@cinch-codes/mcp

Setup

What it exposes

execute_code

The sandbox environment

Configuration

Troubleshooting

Why sandboxed execution

Notes

Links

`execute_code`