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)
Local-first version control for AI work. Savepoint and resume your project state across chats.
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。
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"stateark": {
"command": "npx",
"args": [
"-y",
"stateark"
]
}
}
}在终端中运行这条命令
claude mcp add stateark -- npx -y stateark粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"stateark": {
"command": "npx",
"args": [
"-y",
"stateark"
]
}
}
}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": {
"stateark": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"stateark"
]
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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7日
注册名称已通过 GitHub 账户 Askrion 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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.5.3)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, AvaHR
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.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
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。
Never explain your project to an AI twice.
Your chat is a workspace, not an archive. StateArk turns a working session into a versioned, portable project state that any new chat can pick up. Open terminal and write:
npx stateark
Then quit Claude Desktop completely (Cmd+Q) and reopen it. That is the whole install.
*(Prefer to install from source? npm install && npm run build && npm run setup — see INSTALL.md. Undo any time with npx stateark remove.)*
Here what we had in mind developing stateark - we address a problem millions of users have...
You: ...three hours of work...
You: Savepoint -> my-project v0.3 written to ~/StateArk
(next day, new chat, empty context)
You: Resume my-project -> decisions, constraints, rejected approaches, open questions, and the actual files - all current, none of the detours
Local by default. Savepoints are ordinary folders of Markdown, JSON and your real files. Nothing is uploaded. If StateArk disappears tomorrow, you still have everything.
~/StateArk/projects/my-project/v0.3/
state.md <- the canonical state, readable in any editor state.json manifest.json <- every artifact with its SHA-256 artifacts/ app.py schema.sql
| In the chat | What happens |
|---|---|
Savepoint | consolidate the session into a new version |
Resume | load the latest state into a fresh chat |
History | list the versions |
Diff | what actually changed between two savepoints |
| In the terminal | |
|---|---|
npx stateark | register with Claude Desktop |
npx stateark report | anonymised local usage summary, printed for you only |
npx stateark remove | unregister; savepoints are kept |
// ... rest unchanged), files that collapsed in size, files the state describes but never handed over, savepoints identical to their predecessor. It warns, it never blocks: the savepoint is always written.Node 20+. Claude Desktop, or Claude Code (claude mcp add --transport http ...). It also runs under other local MCP hosts — users have it working with Codex and Hermes against the same store.
Hosted clients that dial your server from the vendor's cloud (Claude web, ChatGPT web) cannot reach localhost. See INSTALL.md.
Supported, and worth saying plainly because it is the setup that broke first. Writes to a project are serialised across processes, so two agents cannot claim the same version number. If a savepoint reports that another process is busy, repeat it in a moment — nothing is lost. A process that dies mid-write releases its lock automatically.
If your store lives in Dropbox, OneDrive or iCloud Drive: several agents on one machine are fine. Two machines writing the same store simultaneously is a sync conflict, which the sync client resolves and StateArk cannot.
| Variable | Default | |
|---|---|---|
STATEARK_LOCK_WAIT_MS | 60000 | how long to wait for another process before giving up |
STATEARK_LOCK_STALE_MS | 120000 | when a lock is assumed to belong to a dead process |
STATEARK_FS_RETRIES | 6 | retries when a sync client holds a file open |
Elastic License 2.0. Use it for anything including commercially, read and modify the source, share the package. You may not offer it to third parties as a hosted or managed service. Your savepoints are yours and are not covered by this licence.
ChatGPT / Claude / Gemini-capable MCP client
| v StateArk Local Agent <- 127.0.0.1 only, by default | v ~/StateArk/projects <- SOURCE OF TRUTH | | optional v Supabase <- mirror / backup / transport
A Savepoint is an ordinary directory, not a proprietary database:
StateArk/projects/my-project/
journal.ndjson # entries recorded since the last savepoint project.json # index (self-healing: rebuilt from disk if corrupt) v0.3/ state.md # human- and LLM-readable canonical state + integrity warnings state.json # the same state, structured meta.json # version, lineage, platform, sync status, warnings manifest.json # artifacts with SHA-256, stored/pending, carried_forward_from journal.ndjson # the entries this savepoint consolidated artifacts/ app.py schema.sql prototype.zip
If StateArk disappears, those files remain usable.
Requires Node 20+.
npm install
npm run typecheck npm test # 97 checks against a throwaway store — run this first npm start
No .env is needed for local-only mode. Copy .env.example to .env only if you want to change the port, the store location, or enable the Supabase mirror.
On first run StateArk generates a random access key and stores it in ~/StateArk/.access-key (mode 0600). The startup banner prints your endpoints:
MCP: http://localhost:8787/mcp/<key>
Upload page: http://localhost:8787/upload/ Health: http://localhost:8787/health
The HTTP entrypoint is a local server on your own machine, so StateArk assumes any web page you visit is hostile:
| Control | Default |
|---|---|
| Bind address | 127.0.0.1 (STATEARK_BIND to change) |
| Access key | random per install, in /.access-key, constant-time compared |
Origin header | loopback only, plus STATEARK_ALLOWED_ORIGINS |
Host header | loopback only, plus STATEARK_ALLOWED_HOSTS (DNS-rebinding guard) |
| CORS | echoes the validated origin, never * |
| Upload form | single-use CSRF token, capped body size |
| Non-loopback bind | refuses to start unless the access key is ≥ 24 chars |
Before exposing the agent over HTTPS: set a long STATEARK_ACCESS_KEY, set STATEARK_ALLOWED_HOSTS to your tunnel hostname, and put a real reverse proxy in front.
Local-first and hosted LLMs are different networking environments. Claude Desktop/Code and other local MCP clients can talk to the local agent directly. A hosted ChatGPT/Gemini client generally cannot reach localhost on your computer. For those you would need a secure HTTPS route to your running local agent — remote access is on the roadmap and does not exist yet.
If you are setting this up, in this order:
Leave SUPABASE_URL, SUPABASE_SECRET_KEY and STATEARK_OWNER_ID unset. Cloud sync stays off and files never leave the machine. Default store: ~/StateArk (override with STATEARK_LOCAL_ROOT).
This is what you get out of the box. The Supabase section below is opt-in.
Run the migrations in the Supabase SQL editor, in order:
supabase/migrations/001_stateark.sqlsupabase/migrations/002_artifacts.sqlsupabase/migrations/003_hardening.sqlThen set SUPABASE_URL, SUPABASE_SECRET_KEY (server-side Secret key, never a publishable key), STATEARK_OWNER_ID, and STATEARK_STORAGE_BUCKET.
Cloud is a mirror, not the master:
meta.json (disabled / pending / synced / failed);sync_savepoint tool.Text/code artifacts up to 2 MB are mirrored inline in Postgres; everything else goes to the private Storage bucket. The mirror is not end-to-end encrypted — the Supabase project can read what it stores. Sync is off by default for exactly that reason; turn it on only for a project you would be comfortable putting in any hosted database.
When you say Savepoint, the host LLM should:
transfer=text;transfer=base64 only when truly available;transfer=pending instead of fabricating it;... rest unchanged.Local creation is atomic: StateArk writes a temporary bundle and renames it only when complete. Artifact names are sanitised; if a name had to be changed, manifest.json records the original under original_name.
Every savepoint is compared against its predecessor. Findings are returned in the tool result and rendered at the top of state.md. The savepoint is always written — a check never costs you work, it only tells the model to come clean.
| Code | Meaning |
|---|---|
artifact_carried_forward | file was not re-submitted and not declared deleted, so it was copied from the previous version |
artifact_became_pending | content that was stored is now only pending |
artifact_shrank | file collapsed to under 50% of its previous size |
truncation_marker | stored text contains ... rest unchanged, [...], … gekürzt and similar |
no_change | this savepoint is identical to the previous one |
journal_not_reflected | decisions were journalled but the submitted state lists none |
artifacts_mentioned_but_missing | the state text names a file (schema.sql, app.py, …) that was never handed over as an artifact |
The last one is the check that matters most in practice. StateArk cannot read your chat, so a filename appearing in the prose is the only available clue that the model *described* a file instead of preserving it. The warning is phrased as a question, because a named file may legitimately be planned or live outside the conversation.
note_event records one short line per turning point, silently, and only for projects that already exist in StateArk. Untracked projects return tracked: false and nothing is written — that is the filter that keeps scratch conversations out.
At the next Savepoint the journal is consolidated into the new version and cleared. It is never cleared before the savepoint is durably on disk.
Inspect pending entries with the journal tool. Nudging is based on entry count (STATEARK_JOURNAL_NUDGE_AT, default 20), never on a timer.
diff_savepoints with no version arguments compares the latest savepoint against its predecessor: LCS line diff on the text fields, set diff on the lists, SHA-256 comparison on the artifacts, plus an attention block for anything that looks like silent loss.
Every stored artifact has a SHA-256. Pending files are explicit in manifest.json and in the resume_project output, so the LLM cannot quietly pretend a file exists.
If a binary cannot travel through MCP, open the local upload page printed at startup and attach it to the existing project/version. This resolves the pending manifest entry.
`Resume My Projec
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