Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Policy checks, approvals, records, and governed HTTP capabilities for unattended agents.
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.
DASHCLAW_URL, DASHCLAW_API_KEY, DASHCLAW_AGENT_ID비밀로 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.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"dashclaw": {
"command": "npx",
"args": [
"-y",
"@dashclaw/mcp-server"
],
"env": {
"DASHCLAW_URL": "your-value",
"DASHCLAW_API_KEY": "your-value",
"DASHCLAW_AGENT_ID": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add dashclaw --env DASHCLAW_URL=your-value --env DASHCLAW_API_KEY=your-value --env DASHCLAW_AGENT_ID=your-value -- npx -y @dashclaw/mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"dashclaw": {
"command": "npx",
"args": [
"-y",
"@dashclaw/mcp-server"
],
"env": {
"DASHCLAW_URL": "your-value",
"DASHCLAW_API_KEY": "your-value",
"DASHCLAW_AGENT_ID": "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": {
"dashclaw": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dashclaw/mcp-server"
],
"env": {
"DASHCLAW_URL": "your-value",
"DASHCLAW_API_KEY": "your-value",
"DASHCLAW_AGENT_ID": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
DASHCLAW_AGENT_ID env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 ucsandman 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
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: DASHCLAW_URL, DASHCLAW_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(3.1.6)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Detailing Manager
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.
Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
MCP server for DashClaw governance. Exposes 17 governance tools, 2 stdio-only support tools, and 3 read-only resources over Model Context Protocol: evaluate policy, record evidence, invoke registered capabilities, wait for approvals, and read the decision ledger. Works with Claude Code, Claude Desktop, Claude Managed Agents, and any MCP-compatible client.
The governance tools register only when DASHCLAW_URL and DASHCLAW_API_KEY are both set; without them the server registers nothing and warns on stderr if exactly one is present.
npx -y @dashclaw/mcp-server --url https://your-dashclaw.vercel.app --key oc_live_xxx --agent-id claude-code
Or add to your MCP config (.mcp.json for Claude Code, or claude mcp add):
{
"mcpServers": { "dashclaw": { "command": "npx", "args": ["-y", "@dashclaw/mcp-server"], "env": { "DASHCLAW_URL": "https://your-dashclaw.vercel.app", "DASHCLAW_API_KEY": "oc_live_xxx", "DASHCLAW_AGENT_ID": "claude-code" } } } }
Claude Desktop main chat: do not use stdio. Desktop runs local MCP servers
on its bundled Node, which crashes this server. Use the
OAuth custom connector instead — no
local process, works in chat and Cowork.
About `DASHCLAW_AGENT_ID`: this is the name that shows up on /fleet, /decisions, and every other governance surface. If you omit it, the server auto-derives an agent_id from the MCP protocol's clientInfo.name (e.g. claude-ai for Claude Desktop, cursor-vscode for Cursor) so calls don't silently commingle with other agents — but a human-friendly name like claude-desktop is what you actually want for dashboard readability. Explicit configuration always wins over auto-derivation.
If you're running DashClaw, the MCP endpoint is built in at /api/mcp:
agent = client.beta.agents.create(
name="Governed Agent", model="claude-sonnet-4-6", tools=[{"type": "agent_toolset_20260401"}], mcp_servers=[{ "type": "url", "url": "https://your-dashclaw.vercel.app/api/mcp", "headers": {"x-api-key": "oc_live_xxx"}, "name": "dashclaw" }], )
Use the OAuth custom connector (next section) — it is the verified path for Desktop chat, web, and Cowork, and needs no install. The old one-click .mcpb bundle is retired: it ran the stdio server on Desktop's bundled Node, which crash-loops. If you still have a dashclaw extension installed from it, uninstall it (Settings → Extensions) before adding the connector.
Self-hosted DashClaw is addable as a Claude custom connector with no API key in the UI — Claude's connector flow requires OAuth, not headers:
https:// /api/mcp./.well-known/oauth-protected-resource, registers via DCR, and opens your DashClaw login + a consent screen.Works on Free/Pro/Max/Team/Enterprise (Free is capped at one custom connector). The legacy x-api-key path (Managed Agents) is unchanged.
To also load the DashClaw skills (governance protocol + platform intelligence) in the Claude app: Customize → Plugins → "+" → Add marketplace → github: ucsandman/DashClaw, then install the dashclaw plugin.
Grouped by domain. See src/tools.ts for the canonical definitions.
Core governance (9) — the guard / record / invoke loop plus discovery and session lifecycle.
| Tool | Description |
|---|---|
dashclaw_guard | Evaluate policies before risky actions |
dashclaw_record | Log actions to audit trail |
dashclaw_invoke | Execute a registered capability through the server's guard, approval, execution-claim, effect, and outcome seam |
dashclaw_capabilities_list | Discover available APIs |
dashclaw_policies_list | See active governance policies |
dashclaw_wait_for_approval | Block until a human resolves an approval |
dashclaw_session_start | Register agent session |
dashclaw_session_end | Close agent session |
dashclaw_session_retro | Read the session's own defensibility retro (clean/review/flagged posture) |
Session linkage: after
dashclaw_session_start, the server auto-stamps that session's id onto everydashclaw_recordin the same connection (stdio). Passsession_idondashclaw_recordto override, or to attribute explicitly on the HTTP transport (POST /api/mcp), where each request is stateless.
dashclaw_guard, dashclaw_record, and dashclaw_wait_for_approval are cooperative tools. They return policy and audit state, but the MCP host or model still chooses whether to honor it. Use a host interception hook when you need a mechanical gate around ordinary MCP tools.
dashclaw_invoke is the bounded effect seam. DashClaw holds the registered capability configuration, evaluates the exact invocation against current policy, records it, enforces approval, and atomically claims one execution attempt before making the external call. Approval and plan grants are consumed at that claim, not by the earlier guard evaluation. If execution finishes but the outcome cannot be recorded, the tool reports unknown execution state and does not describe a retry as safe. Reconcile the external system first.
Retrospection (2) — record assumptions; recent governed-action ledger.
| Tool | Description |
|---|---|
dashclaw_assumption_record | Record an unverified assumption underpinning an action |
dashclaw_decisions_recent | Recent governed-action ledger |
Agent identity (1) — operator-approved pairing of an unidentified agent to a registered identity.
| Tool | Description |
|---|---|
dashclaw_pair | Enroll agent identity: keypair locally, public key to /api/pairings |
Team Tasks (3) — create a Team Task, append an inter-agent timeline event, update task status.
| Tool | Description |
|---|---|
dashclaw_task_create | Create a Team Task — one record per multi-agent /team run |
dashclaw_task_event | Append one event to a Team Task timeline (delegation, reply, status, approval_needed, result, error, done) |
dashclaw_task_update | Update a Team Task: status transitions and stored transport session ids |
Plans (2) — submit a preflight plan for one-card operator review and poll its review state. Preview and review responses are evidence; the live action is re-evaluated and any grant is consumed only by its execution claim.
| Tool | Description |
|---|---|
dashclaw_plan_submit | Submit an ordered step list for preflight review; approved steps become scoped, expiring grants consumed only by an execution claim |
dashclaw_plan_status | Check a submitted plan's overall and per-step verdict |
Registered by src/tools/index.ts on the local stdio server only, gated on the same DASHCLAW_URL + DASHCLAW_API_KEY credentials as the governance set:
| Tool | Description |
|---|---|
dashclaw_status | Check DashClaw gate configuration and reachability |
export_dashclaw_evidence | Export local audit entries carrying DashClaw guard/evidence metadata |
| URI | Description |
|---|---|
dashclaw://policies | Active policy set |
dashclaw://agent/{agent_id}/history | Recent action history (last 50) |
dashclaw://status | Instance health + operational metrics |
Set these in your MCP client's env block (preferred — scoped to the server process, invisible to your terminals) or your shell. The annotated template lives in .env.example.
| CLI Arg | Env Var | Default | Description |
|---|---|---|---|
--url | DASHCLAW_URL | http://localhost:3000 | DashClaw instance URL — with DASHCLAW_API_KEY, enables the governance tool set |
--key | DASHCLAW_API_KEY | (empty) | API key (oc_live_ prefix) |
--agent-id | DASHCLAW_AGENT_ID | (empty) | Default agent ID (auto-derived from MCP clientInfo.name when empty) |
DASHCLAW_MODE | authoritative | DashClaw gate mode (only authoritative is supported) | |
DASHCLAW_LOCAL_HOME | /.dashclaw-local | Where local state lives (see Storage below) | |
DASHCLAW_TIMEOUT_MS | 30000 | DashClaw API request timeout | |
DASHCLAW_LOCK_STALE_MS | 30000 | Stale file-lock threshold for local state files | |
DASHCLAW_AUDIT_MAX_ENTRIES | (unlimited) | Cap retained audit entries |
CLI args take precedence over environment variables.
Note: This server reads
DASHCLAW_URL(notDASHCLAW_BASE_URL); the hooks and CLI in the DashClaw repo readDASHCLAW_BASE_URL.
Local-first state under `.dashclaw-local/` in the working directory (override with DASHCLAW_LOCAL_HOME). Plain JSON — human-readable, diffable, zero native dependencies:
| File | Holds |
|---|---|
state.json | The local default workspace |
audit.log | Append-only JSONL audit trail read by the DashClaw evidence tools |
Secrets are never written here — tokens stay in the environment, read at call time.
Apache-2.0. This package incorporates code from an upstream Apache-2.0 project — see NOTICE for the attribution.
After bumping version in mcp-server/package.json, run from the repo root:
npm run release:mcp
One command does everything, and re-running is always safe (already-published steps are skipped):
server.json versions to package.json (commit the change if it edits the file).mcp-publisher — if the saved GitHub token expired, it re-runs the device-flow login (enter the printed code at github.com/login/device) and retries.Prereqs (one-time): npm login, and the official mcp-publisher binary from modelcontextprotocol/registry releases — never npm i -g mcp-publisher, that name is squatted by an unrelated package.