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PopNx MCPMCP servers for people who use AI · explained in plain words

FetchSandbox

by fetchsandboxversion 0.7.30i★ –iComputer or cloud
Registry nameio.github.fetchsandbox/mcp

Install

Overview

Description from the maker (original English)

A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.

PopNx MCP’s three pillars

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

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: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Other
  • You need to fill in: FETCHSANDBOX_API_KEY

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: FETCHSANDBOX_API_KEY, FETCHSANDBOX_TELEMETRY, FETCHSANDBOX_BASE_URL

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

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://fetchsandbox.com/mcp/v1

Or run it on your computer

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

{
  "mcpServers": {
    "fetchsandbox": {
      "command": "npx",
      "args": [
        "-y",
        "fetchsandbox-mcp"
      ],
      "env": {
        "FETCHSANDBOX_API_KEY": "your-value",
        "FETCHSANDBOX_TELEMETRY": "your-value",
        "FETCHSANDBOX_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http fetchsandbox https://fetchsandbox.com/mcp/v1

Or run it on your computer

claude mcp add fetchsandbox --env FETCHSANDBOX_API_KEY=your-value --env FETCHSANDBOX_TELEMETRY=your-value --env FETCHSANDBOX_BASE_URL=your-value -- npx -y fetchsandbox-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": {
    "fetchsandbox": {
      "url": "https://fetchsandbox.com/mcp/v1"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "fetchsandbox": {
      "command": "npx",
      "args": [
        "-y",
        "fetchsandbox-mcp"
      ],
      "env": {
        "FETCHSANDBOX_API_KEY": "your-value",
        "FETCHSANDBOX_TELEMETRY": "your-value",
        "FETCHSANDBOX_BASE_URL": "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": {
    "fetchsandbox": {
      "type": "http",
      "url": "https://fetchsandbox.com/mcp/v1"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "fetchsandbox": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "fetchsandbox-mcp"
      ],
      "env": {
        "FETCHSANDBOX_API_KEY": "your-value",
        "FETCHSANDBOX_TELEMETRY": "your-value",
        "FETCHSANDBOX_BASE_URL": "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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://fetchsandbox.com/mcp/v1

Menu names can differ slightly by plan and over time.

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

Values you fill in

  • FETCHSANDBOX_API_KEY secret env
    Sign in using an account API key. Discovery is available anonymously; application planning, verification and managed local tunnels require authentication.
  • FETCHSANDBOX_TELEMETRY env
    Set to '0' to disable anonymous usage telemetry.
  • FETCHSANDBOX_BASE_URL env
    Override the FetchSandbox backend base URL (defaults to https://fetchsandbox.com). Useful for stage/self-hosted testing.

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 fetchsandbox, 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32461 servers in this category
  • Published to the registry more recently than 67% of the other 32461 servers in this category
  • Basic checks equal to or better than 100% of the other 32461 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 FetchSandbox 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: FETCHSANDBOX_API_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.7.30) reached the registry 18 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, dotnet-mcp

Alternatives

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

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

Runs in the cloud★ 211Updated yesterday
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dotnet-mcp

by Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

Runs on your computerUpdated today
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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.

fetchsandbox-mcp

Also on Smithery, npm and the official MCP registry.

A deterministic verification engine for agents, as an MCP server for FetchSandbox.

Your agent writes an integration. This checks whether it actually works — against a sandbox that behaves like the real provider, including the failures: retried webhooks, declined cards, rate limits, auth errors.

When it finds a bug, it can propose a fix and then prove it: the same failure is run against your code before and after the diff. Green only if it reproduced first and stopped after. You get a receipt URL either way.

Install

The MCP server runs locally through Node.js. Clients can resolve npx differently; Cursor on Mac may need the full path from command -v npx.

{

"mcpServers": { "fetchsandbox": { "command": "npx", "args": ["-y", "fetchsandbox-mcp@latest"], "env": { "FETCHSANDBOX_API_KEY": "fsk_your_key_here" } } } }

Discovery and reference tools are available without a key. Application planning, verification and managed local tunnelling require sign-in or an API key from https://fetchsandbox.com/keys. See Accounts.

ClientFile
Claude Code.mcp.json in your project root, or claude mcp add
Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.json
Cursor~/.cursor/mcp.json, or .cursor/mcp.json in the repo
Zed~/.config/zed/settings.json, under context_servers
Codex~/.codex/config.toml, as [mcp_servers.fetchsandbox]
Cursor on Mac: tested setup

Get a real account key from https://fetchsandbox.com/keys. Run command -v npx and use that full path in ~/.cursor/mcp.json. This example is for Homebrew on Apple Silicon; replace the path if yours differs. On Windows, use where.exe npx to locate your installed command.

{

"mcpServers": { "fetchsandbox": { "command": "/opt/homebrew/bin/npx", "args": ["-y", "fetchsandbox-mcp@0.7.24"], "env": { "FETCHSANDBOX_API_KEY": "fsk_your_key_here" } } } }

Replace fsk_your_key_here privately with the real raw key, without a Bearer prefix. The placeholder cannot authenticate. Check for a second FetchSandbox entry in .cursor/mcp.json in your project. Fully quit and reopen Cursor after saving; a window reload may retain the old MCP process. Enable the server if needed and confirm its tools load. A green connection alone does not prove that an application verification call is authenticated.

Restart the client afterwards. Anything else that speaks MCP takes the same command and args.

No terminal? Use the hosted endpoint

Browser-based builders — Lovable, Bolt, v0 — can't run npx. They connect straight to the hosted streamable-HTTP transport instead:

https://fetchsandbox.com/mcp/v1

Authenticate with a Bearer token, not "None" — paste the key from https://fetchsandbox.com/keys.

Same twins, same scenarios, seven tools: validate_integration, quickrun, run_workflow, verify_behavior, list_workflows, guide, coach.

The rest are not hidden — they cannot work there. find_bugs, fix_bug and prove_fix read your project from disk and a hosted server has no copy of it, so advertising them only produced sessions that dead-ended. To analyse your own code, run npx fetchsandbox-mcp locally in the project you want looked at.

Start with validate_integration. A green quickrun proves the provider behaves as documented; it does not touch your checkout endpoint, your webhook handler, or your email send. validate_integration hands you a fresh twin per provider and then reports what your code actually called.

Using it

Describe the problem the way you'd describe it to a colleague. You don't need to name a tool.

Customers are reporting more seats than they bought after a Paddle payment.

Can you find out why?

The agent works through: route the symptom, reproduce it against the provider sandbox, read your code, get a fix, prove the fix on your code. Each step hands back what the next one needs.

One thing worth knowing, because it's easy to get backwards: prove_fix needs the unfixed tree. Run it before you write the diff to disk, or there's no bug left to reproduce and no proof to be had.

Accounts

You don't need one to start. Install it, ask a question, and everything runs.

The first time a run produces something worth keeping — a receipt, or a set of findings — you'll get a short code and a link. Signing in takes about twenty seconds and does two things: the evidence behind your receipts stops being archived after 15 days, and the runs from that machine collect in one place. You'll be asked at most once a day, and never once you're signed in.

For CI, the hosted endpoint, or anywhere a browser isn't available, set a key instead. Create one at https://fetchsandbox.com/keys — sign in, then "Create a key". It looks like fsk_....

In an MCP client config, it goes in env:

"env": { "FETCHSANDBOX_API_KEY": "fsk_your_key_here" }

In a shell or CI:

export FETCHSANDBOX_API_KEY=fsk_your_key_here

On the hosted endpoint, send it as Authorization: Bearer fsk_....

The key is also written to ~/.fetchsandbox/credentials.json when you sign in from an editor; the environment variable always wins.

Tools

Start with guide. It picks the right ones for what you asked.

Finding and fixing

ToolWhat it doesArguments
guideRoutes a symptom to a spec, workflow and known failure classintent*, hints
find_bugsAudits your project against known integration failure classes. No git remote needed — it reads the directory you point it atpath, spec, timeout_s
fix_bugReturns a git diff for one finding. Doesn't touch your filesbug*, fix_pattern, path, spec, timeout_s
get_jobRetrieve the same running job without starting another analysis or proofjob_id*
prove_fixRuns the failure against your code before and after the diff. Green only on a measured flipdiff*, bug, scenario, sandbox_id, path, timeout_s

Verifying an integration

ToolWhat it doesArguments
validate_integrationProves your own code against a provider, not that our twin works. Hands back a fresh twin per provider, then reads our request log to report what your app actually calledproviders, app_base_url, session_id
quickrunRuns one of OUR curated workflows against a bundled spec. Green here says the provider behaves as documented — it says nothing about your integrationspec_slug*, workflow_name*, scenario
run_workflowThe same, on a sandbox you already have — this is where you re-run with a scenario armedsandbox_id*, workflow_name*, scenario
verify_behaviorShows a failure class on reference handlers — buggy vs fixed. Not your codebug_pattern_id*, prompt, sandbox_id, flow_run_id
list_workflowsWorkflows AND the failure scenarios a spec can inject, in one answerspec_slug or spec_id
guideRoutes a symptom to the provider behaviour that explains it, and returns the next call with its arguments filled inintent*, hints
coachMulti-turn help building an integrationintent, session_id, user_response, context

Those seven are the whole of what a browser-based builder sees, and they are the only ones that need no filesystem. Everything below requires a local project.

On a machine with your code

ToolWhat it doesArguments
find_bugsAudits your project against known integration failure classespath, spec, timeout_s
fix_bugReturns a git diff for one finding. Doesn't touch your filesbug*, fix_pattern, path, spec, timeout_s
get_jobRetrieve the same running job without starting another analysis or proofjob_id*
prove_fixRuns the failure against your code before and after the diff. Green only on a measured flipdiff*, bug, scenario, sandbox_id, path, timeout_s
run_all_workflowsRuns several workflows in one callsandbox_id*, workflow_names
list_scenariosThe failures a spec can injectsandbox_id*
set_scenarioArms a failure on a sandboxsandbox_id*, scenario*
list_runsPast runs for a sandboxsandbox_id*, limit
list_specsSpecs already availablefilter
submit_proofPublishes a receipt for a runsandbox_id, flow_run_id, bug_pattern_id, summary, proofs

* = required.

What leaves your machine

find_bugs, fix_bug and prove_fix package the directory you point them at and upload it for analysis. Worth saying plainly, because the previous wording here implied the opposite.

Excluded before packing: .git, node_modules and build output, agent instruction files, and anything credential-shaped — .env*, *.pem, *.key, id_rsa*, *.tfstate, .npmrc, .aws, .ssh, .mcp.json, .mcp.*.json, mcp.json, and more.

Then the archive is read back and refused if it still contains something shaped like a live credential, wherever it lives and whatever it is called. A key in config/local.yml stops the upload and names the file. Patterns only cover what someone thought of; the scan is there for the rest.

If you would rather nothing left at all, the analysis needs the source today. That is the honest state.

Long-running work

The MCP response waits briefly, then returns status: running, its job_id, and a next_tool_call for get_job. Follow that call until status: done or error. It reads the existing backend job; it does not upload the project again or start another proof. Keep the original tree unchanged while the proof runs. A running job does not establish a pass.

This applies to discovery, proposed fixes, application proofs, and async reference verification. Direct library calls keep their blocking behavior. Job retention and ownership still belong to the existing backend. This change does not make its in-memory job tracker survive a backend restart.

Receipts are public to anyone holding the link

submit_proof attaches the real requests and responses from your app's before/after run to the receipt page, so the receipt shows your code's own behaviour. That page is served without a login — that is the point of it, you drop the link in a PR — which means the bodies on it are readable by anyone who has the link.

Provider execution can use a FetchSandbox twin or a recording test double; read the receipt's execution scope. A recording double does not establish twin or live-provider fidelity. But the request bodies are the ones your app built, and those can carry values from your config. Look at a receipt before you share it.

Configuration

Env varDefaultPurpose
FETCHSANDBOX_API_KEYnoneSign in without a browser. Overrides the stored credentials
FETCHSANDBOX_BASE_URLhttps://fetchsandbox.comPoint at a different backend
FETCHSANDBOX_TELEMETRYonSet to 0 to turn off

Telemetry records an opaque per-machine id (a random UUID in ~/.fetchsandbox/session.json), the tool name, latency, and whether the call succeeded. Not

Only the beginning is shown; read the rest in the repo

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