Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
FETCHSANDBOX_API_KEY, FETCHSANDBOX_TELEMETRY, FETCHSANDBOX_BASE_URL비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://fetchsandbox.com/mcp/v1Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"fetchsandbox": {
"command": "npx",
"args": [
"-y",
"fetchsandbox-mcp"
],
"env": {
"FETCHSANDBOX_API_KEY": "your-value",
"FETCHSANDBOX_TELEMETRY": "your-value",
"FETCHSANDBOX_BASE_URL": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"fetchsandbox": {
"url": "https://fetchsandbox.com/mcp/v1"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"fetchsandbox": {
"command": "npx",
"args": [
"-y",
"fetchsandbox-mcp"
],
"env": {
"FETCHSANDBOX_API_KEY": "your-value",
"FETCHSANDBOX_TELEMETRY": "your-value",
"FETCHSANDBOX_BASE_URL": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"fetchsandbox": {
"type": "http",
"url": "https://fetchsandbox.com/mcp/v1"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://fetchsandbox.com/mcp/v1메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
FETCHSANDBOX_TELEMETRY envFETCHSANDBOX_BASE_URL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 fetchsandbox 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: FETCHSANDBOX_API_KEY
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.7.30)은 18일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요