fetchsandbox-mcp

MCP serverDev tools

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

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use fetchsandbox-mcp

From the project's README

As published by fetchsandbox/mcp in README.md.

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

Same stdio command everywhere. npx fetches the current version, so there's nothing to install.

{
  "mcpServers": {
    "fetchsandbox": {
      "command": "npx",
      "args": ["-y", "fetchsandbox-mcp@latest"]
    }
  }
}
ClientFile
Claude Code~/.claude/settings.json, or .mcp.json in the repo
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]

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

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, or anywhere a browser isn't available, set a key instead:

FETCHSANDBOX_API_KEY=fsk_...

The key is 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
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

Running the sandbox

ToolWhat it doesArguments
quickrunRuns a workflow against a bundled spec in one call. Returns sandbox_id and flow_run_idspec_slug*, workflow_name*, scenario
verify_behaviorShows a failure class on reference handlers — buggy vs fixedbug_pattern_id*, prompt, sandbox_id, flow_run_id
run_workflowRuns one workflow on a sandbox you already havesandbox_id*, workflow_name*, scenario
run_all_workflowsRuns several in one callsandbox_id*, workflow_names
list_workflowsWorkflows available for a specspec_id*
list_runsPast runs for a sandboxsandbox_id*, limit

Bringing your own spec

ToolWhat it doesArguments
list_specsSpecs already availablefilter
import_specIngests an OpenAPI 3.x spec by URL or pasted content. Returns a callable sandboxurl, content, name
submit_proofPublishes a receipt for a runsandbox_id, flow_run_id, bug_pattern_id, summary, proofs
coachMulti-turn help building an integrationintent, session_id, user_response, context

* = 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 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.

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.

The probes run against the FetchSandbox twin, not your provider, so the data is sandbox data. 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 spec content, not request bodies, not credentials. It's how we count sessions and see which APIs people bring.

Once you sign in, calls are also attributed to your account — that is the point of signing in, and it is what lets your runs appear in one place.

FETCHSANDBOX_TELEMETRY=0 stops the per-machine id being sent, so calls are no longer linked to your machine. It does not make a call invisible: the server still records that a tool ran, because it is the thing running it. And if you are signed in, your key identifies you regardless — that is what a key is. To be unattributed, don't sign in.

License

MIT — see LICENSE.

Advanced
Delivery
mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
io-github-fetchsandbox-mcp
Source
github.com/fetchsandbox/mcp
Hosted endpoint
https://fetchsandbox.com/mcp/v1