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PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Approval Gate MCP

제작자: itcustomsolution버전 0.4.1i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.itcustomsolution/approval-gate-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

Fail-closed human approval gates for AI agent actions. Default-deny, TTL expiry, audit log.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • npmNode.js 설치(npx 명령어용)

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": {
    "approval-gate": {
      "command": "npx",
      "args": [
        "-y",
        "@itcustomsolution/approval-gate-mcp"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add approval-gate -- npx -y @itcustomsolution/approval-gate-mcp

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "approval-gate": {
      "command": "npx",
      "args": [
        "-y",
        "@itcustomsolution/approval-gate-mcp"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "approval-gate": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@itcustomsolution/approval-gate-mcp"
      ]
    }
  }
}

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.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 itcustomsolution 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32466개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32466개 중 83%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32466개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Approval Gate MCP, 안전한가요?

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.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.4.1)은 7일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, HotCodePush

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211어제 업데이트
설치

HotCodePush

제작자: hotcodepush-team

Manage over-the-air (OTA) updates for React Native, Expo, Capacitor and Cordova apps.

클라우드에서 실행오늘 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

approval-gate-mcp

An MCP server and library for requesting a human decision before a consequential agent action. Approvals expire, are single-use and can bind an operation to an exact payload.

The trusted executor must enforce the approval. Installing an MCP server does not prevent an agent from using another tool, and the gate is not a security boundary against processes with the same OS-user privileges. Read the trusted execution boundary and threat model before integration.

Release and verification

As of 31 October 2026, v0.4.1 on GitHub and 0.4.1 on npm are published. Source changes, GitHub releases and registry publication are separate states; these links identify the released version.

Requires Node.js 22+. See the MIT license, changelog and test suite. The 0.4.1 release notes describe the shipped changes. Tests apply to the revision and environment where they ran; they do not establish production certification. The quickstart below pins the published package; run npm test for your own checkout.

Why

Sending, deleting, publishing, spending and deploying need a decision tied to the actual operation. A general instruction to "ask first" leaves the executor to interpret an informal conversation. This project records a specific request, a human decision, an expiry and a single-use consume step that trusted execution code can enforce.

Use it when you control that execution boundary. If an agent can bypass it through a shell, another tool or direct file access, adding this server alone cannot enforce approval.

30-second quickstart

claude mcp add approval-gate -- npx -y @itcustomsolution/approval-gate-mcp@0.4.1

Claude Desktop (claude_desktop_config.json):

{

"mcpServers": { "approval-gate": { "command": "npx", "args": ["-y", "@itcustomsolution/approval-gate-mcp@0.4.1"] } } }

Approve or deny from your terminal with npx -p @itcustomsolution/approval-gate-mcp@0.4.1 approval-gate list.

Example

  1. Your agent wants to email a customer. It calls request_approval with action: "send email to alice@example.com, subject: Invoice 1042" and gets back id a1b2c3d4e5f6.
  2. It calls wait_for_approval. Nothing is sent.
  3. In your own terminal: approval-gate list, then approval-gate approve a1b2c3d4e5f6 looks right.
  4. The agent can observe approved, but that status does not authorize sending. The trusted executor calls executeApproved for that id and the exact action (plus operation/payload binding, if present) immediately around its send function. See Trusted execution boundary. It must not accept an agent-supplied or MCP JSON result as proof. Denial, timeout or expiry prevents a successful consume.
  5. ~/.approval-gate/audit.jsonl now has the request and your decision.

Design principles

  • Fail closed. The only thing that authorizes an action is a successful consume: consume_approval returning ok: true (once, for the exact approved action), or executeApproved in trusted code. Pending, approved-but-not-consumed, denied, expired, timeout, error: none of those is an authorization; all of them mean no.
  • The gate never executes anything. It records intent and decisions. Your agent asks first, then acts only on approval. Separation of decision and execution keeps the gate simple and auditable.
  • Decisions are out-of-band. A human approves or denies with a CLI in their own terminal, not inside the agent's context. The MCP tools cannot approve. The CLI asks for an interactive terminal and a re-typed confirmation, which is a speed bump, not authentication: anything running as your OS user (a shell, a PTY, or file access) can still get past it. See Threat model.
  • Only a consume authorizes. status: "approved" is informational. Status responses carry authorizesExecution: false and an effectiveStatus (approved_unconsumed, approved_expired, consumed, revoked, ...). Trusted code that performs the side effect should call executeApproved (see Trusted execution boundary), which consumes the approval itself. A consume result that arrived over MCP, from a file or from an agent is never proof of approval, however well-formed.
  • Everything is audited. Every request, decision, expiry, and consumption is appended to ~/.approval-gate/audit.jsonl (an append-only convention, not a tamper-proof log).
  • Requests expire. Default TTL is 1 hour; a stale approval is not an approval.
  • Approvals are single-use and bound to the action. consume_approval succeeds once, only for the exact action text that was approved (and, if the request carried them, the same operation name and the same canonical JSON payload), and only if the clock read after all of its persistence is still at or before the request's expiry.

Install

Requires Node.js 22 or later (Node 18 and 20 are past end of life; the MCP SDK's @hono/node-server dependency needs Node 20+).

From npm:

npm install -g @itcustomsolution/approval-gate-mcp@0.4.1   # installs `approval-gate` and `approval-gate-mcp`

From source:

git clone --branch v0.4.1 --depth 1 https://github.com/itcustomsolution/approval-gate-mcp.git

cd approval-gate-mcp npm ci --ignore-scripts npm test # builds the source and runs the tests node dist/cli.js list

Wire it into an MCP client

Claude Code:

claude mcp add approval-gate -- node /path/to/approval-gate-mcp/dist/index.js

Or in any MCP client config:

{

"mcpServers": { "approval-gate": { "command": "node", "args": ["/path/to/approval-gate-mcp/dist/index.js"] } } }

Tools

ToolPurpose
request_approvalRegister an intended action (action, reason, optional ttl_seconds, optional operation and JSON payload to bind). Returns an id (and payloadDigest).
check_approvalPoll a request's status: pending / approved / denied / expired.
wait_for_approvalBlock up to timeout_seconds for a decision. Timeout = still pending = not approved.
list_pendingList requests awaiting a human, oldest first, one page at a time (limit 1-100, default 50; pass nextCursor back as cursor).
consume_approvalCall right before acting. Succeeds once, only if approved, unexpired, and action (plus operation/payload, if the request had them) matches exactly. Anything else: do not proceed. Its JSON result is not a transferable credential.
decide_approvalDeny a pending request, or revoke an approved one that has not been consumed. Approving through MCP is refused by default, so an agent cannot approve its own request; approvals come from the CLI. Operators can opt in with APPROVAL_GATE_ALLOW_MCP_APPROVE=1 (not recommended).

The human side

approval-gate list                # pending requests

approval-gate show a1b2c3d4e5f6 approval-gate approve a1b2c3d4e5f6 looks right, ship it approval-gate deny a1b2c3d4e5f6 wrong recipient approval-gate revoke a1b2c3d4e5f6 changed my mind # approved but not yet consumed approval-gate list approved --limit 20 --after a1b2c3d4e5f6 # page through history approval-gate archive --older-than-days 30 # retention: move finished requests aside

show and the approve confirmation print the operation and the full canonical payload (escaped) when a request binds one: that is exactly what an executor will be allowed to run.

Suggested agent policy

Put something like this in your agent's system prompt or policy file:

Before any outbound or destructive action (send, publish, delete, purchase, deploy),

call request_approval and then wait_for_approval. When it returns approved, call

consume_approval with the same id and exact action text, and proceed only if it returns

ok: true. Never call decide_approval for your own requests.

Trusted execution boundary

When your own code (not the agent) performs the side effect, let the gate consume the approval at that boundary and run exactly the approved payload:

import { executeApproved } from "@itcustomsolution/approval-gate-mcp/dist/store.js";

// id comes from the agent; the action, operation and payload are what your code is about to run. await executeApproved(id, { action, operation: "smtp.send", payload: { to, subject, body } }, async (ctx) => { ctx.assertActive(); // re-check expiry immediately before the side effect await smtp.send(ctx.payload); // ctx.payload is a frozen copy of what the human approved });

executeApproved accepts no receipt. It performs the single-use consume itself (binding to the action text, and to the operation and payload if the request carried them), writes an execution_started audit line (fsync), checks expiry again, and only then calls your function. If the start record cannot be written, or the approval expired during that write, nothing runs. Call ctx.assertActive() again after any await that precedes the side effect.

assertConsumed(result, id, action, binding?) remains for code that calls consumeApproval itself: it accepts only a grant object issued by consumeApproval in the same process, once, for the same id/action/binding, before expiry. A copy, a JSON round trip (an MCP response, a file, an agent message) or a hand-built object is always refused. 0.3.0 accepted any well-shaped object; see the changelog.

Crash and replay semantics. Consumption is at-most-once: once .used is claimed the approval is spent, whatever happens next, including refusals after the claim (expired during persistence, audit failure). A crash after execution_started and before execution_finished means the outcome is unknown: inspect the external system and, if needed, create and approve a new request. Nothing is retried automatically, and there is no atomic guarantee between this gate's files and the external system your callback touches. Details: docs/authorization-states.md.

Limits

LimitValue
action, reason, decision reason8192 UTF-8 bytes each
requested_by256 bytes (self-reported, never authenticated)
operation1-128 of A-Z a-z 0-9 . _ : / -
payloadJSON only; 32 KiB canonical (RFC 8785), depth 32, 10000 values; no "__proto__" key
TTLMCP: integer 10 s to 7 days; library: any finite number up to 7 days (zero or negative gives an already-expired request)
Requests awaiting a decisionAPPROVAL_GATE_MAX_PENDING, default 100, 1 to 10000. Concurrent creators can overshoot by at most their own number. Invalid values fail closed.
List page1-100 (default 50)
State directoryNew requests are refused at 100,000 entries in requests/; listing refuses above 200,000. Reading, deciding, consuming and archive work at any size.

When the queue is full, request_approval fails with approval queue full until a human decides requests or they expire. Finished requests stay on disk until you run approval-gate archive, which moves only finished requests that were created and expired at least 8 days ago, so nothing archived can still be used. An MCP client can create and deny its own requests without a human, so it can fill requests/ up to the creation limit; that blocks new requests (an availability limit, like the queue cap), never a human's decisions. Each listing page reads every request file, so listing slows down as history grows until you archive. Paginated listing streams directory entries

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