Server data from the Official MCP Registry
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
About
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
Remote endpoints: streamable-http: https://fetchsandbox.com/mcp/v1
Security Report
FetchSandbox MCP is a well-structured integration testing tool with proper authentication, clear permission scoping, and no malicious patterns. The server requires API credentials for persistent features, properly handles environment variables, and includes thoughtful security design around credential exclusion during uploads. Minor code quality observations around broad error handling and logging do not significantly impact security posture. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
5 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: FETCHSANDBOX_API_KEY
Environment variable: FETCHSANDBOX_TELEMETRY
Environment variable: FETCHSANDBOX_BASE_URL
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
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
Same stdio command everywhere. npx fetches the current version, so there's
nothing to install.
{
"mcpServers": {
"fetchsandbox": {
"command": "npx",
"args": ["-y", "fetchsandbox-mcp@latest"],
"env": { "FETCHSANDBOX_API_KEY": "fsk_your_key_here" }
}
}
}
The key is optional — leave env out and everything still runs. Get one at
https://fetchsandbox.com/keys when you want receipts that outlive 15 days.
See Accounts.
| Client | File |
|---|---|
| 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] |
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
| Tool | What it does | Arguments |
|---|---|---|
guide | Routes a symptom to a spec, workflow and known failure class | intent*, hints |
find_bugs | Audits your project against known integration failure classes. No git remote needed — it reads the directory you point it at | path, spec, timeout_s |
fix_bug | Returns a git diff for one finding. Doesn't touch your files | bug*, fix_pattern, path, spec, timeout_s |
prove_fix | Runs the failure against your code before and after the diff. Green only on a measured flip | diff*, bug, scenario, sandbox_id, path, timeout_s |
Verifying an integration
| Tool | What it does | Arguments |
|---|---|---|
validate_integration | Proves 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 called | providers, app_base_url, session_id |
quickrun | Runs one of OUR curated workflows against a bundled spec. Green here says the provider behaves as documented — it says nothing about your integration | spec_slug*, workflow_name*, scenario |
run_workflow | The same, on a sandbox you already have — this is where you re-run with a scenario armed | sandbox_id*, workflow_name*, scenario |
verify_behavior | Shows a failure class on reference handlers — buggy vs fixed. Not your code | bug_pattern_id*, prompt, sandbox_id, flow_run_id |
list_workflows | Workflows AND the failure scenarios a spec can inject, in one answer | spec_slug or spec_id |
guide | Routes a symptom to the provider behaviour that explains it, and returns the next call with its arguments filled in | intent*, hints |
coach | Multi-turn help building an integration | intent, 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
| Tool | What it does | Arguments |
|---|---|---|
find_bugs | Audits your project against known integration failure classes | path, spec, timeout_s |
fix_bug | Returns a git diff for one finding. Doesn't touch your files | bug*, fix_pattern, path, spec, timeout_s |
prove_fix | Runs the failure against your code before and after the diff. Green only on a measured flip | diff*, bug, scenario, sandbox_id, path, timeout_s |
run_all_workflows | Runs several workflows in one call | sandbox_id*, workflow_names |
list_scenarios | The failures a spec can inject | sandbox_id* |
set_scenario | Arms a failure on a sandbox | sandbox_id*, scenario* |
list_runs | Past runs for a sandbox | sandbox_id*, limit |
list_specs | Specs already available | filter |
submit_proof | Publishes a receipt for a run | sandbox_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 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 var | Default | Purpose |
|---|---|---|
FETCHSANDBOX_API_KEY | none | Sign in without a browser. Overrides the stored credentials |
FETCHSANDBOX_BASE_URL | https://fetchsandbox.com | Point at a different backend |
FETCHSANDBOX_TELEMETRY | on | Set 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.
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Paperclip
Freeby Paperclipai · Developer Tools
Trending hip-hop artist momentum scores across four cultural dimensions.
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
