Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
FETCHSANDBOX_API_KEY, FETCHSANDBOX_TELEMETRY, FETCHSANDBOX_BASE_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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:
https://fetchsandbox.com/mcp/v1Open 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/v1claude mcp add fetchsandbox --env FETCHSANDBOX_API_KEY=your-value --env FETCHSANDBOX_TELEMETRY=your-value --env FETCHSANDBOX_BASE_URL=your-value -- npx -y fetchsandbox-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fetchsandbox": {
"url": "https://fetchsandbox.com/mcp/v1"
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"fetchsandbox": {
"type": "http",
"url": "https://fetchsandbox.com/mcp/v1"
}
}
}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:
https://fetchsandbox.com/mcp/v1Menu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
FETCHSANDBOX_TELEMETRY envFETCHSANDBOX_BASE_URL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
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
The registry name was verified with the GitHub account fetchsandbox, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: FETCHSANDBOX_API_KEY
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (0.7.30) reached the registry 18 days ago.
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.
In the same category: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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MCP server for .NET symbols, XAML, source generators, and restricted workspace edit
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.
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.
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.
| 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] |
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.
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.
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.
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.
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 |
get_job | Retrieve the same running job without starting another analysis or proof | job_id* |
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 |
get_job | Retrieve the same running job without starting another analysis or proof | job_id* |
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.
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.
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.
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.
| 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
Only the beginning is shown; read the rest in the repo