Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
FETCHSANDBOX_API_KEY, FETCHSANDBOX_TELEMETRY, FETCHSANDBOX_BASE_URL标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://fetchsandbox.com/mcp/v1打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 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"
}
}
}
}在终端中运行这条命令
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-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"fetchsandbox": {
"url": "https://fetchsandbox.com/mcp/v1"
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"fetchsandbox": {
"type": "http",
"url": "https://fetchsandbox.com/mcp/v1"
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://fetchsandbox.com/mcp/v1菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
FETCHSANDBOX_TELEMETRY envFETCHSANDBOX_BASE_URL env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 fetchsandbox 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:FETCHSANDBOX_API_KEY
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(0.7.30)于18天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Apify MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
只显示了开头部分;其余内容请在仓库中阅读