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Subagent MCP

제작자: Thang1710버전 1.0.31i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.Thang1710/subagent-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

Let Codex orchestrate external coding agents through their native harnesses.

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

  • PyPIPython의 uv 설치(uvx 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": {
    "subagent": {
      "command": "uvx",
      "args": [
        "subagent-harness-mcp",
        "serve"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add subagent -- uvx subagent-harness-mcp serve

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "subagent": {
      "command": "uvx",
      "args": [
        "subagent-harness-mcp",
        "serve"
      ]
    }
  }
}

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": {
    "subagent": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "subagent-harness-mcp",
        "serve"
      ]
    }
  }
}

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 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 Thang1710 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 32568개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32568개 중 48%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32568개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

Subagent 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(1.0.31)은 44일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

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

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

FlyDocs

제작자: flydocs.ai

Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.

내 컴퓨터에서 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.

Subagent MCP

Independent harnesses. One Codex orchestrator.

When one model plans a change, implements it, and reviews it, the reviewer shares the author's context and blind spots. It can end up confirming its own plan instead of testing it.

Subagent MCP keeps Codex as the main agent and final decision-maker while delegating bounded work to external agent runtimes. Each runtime is a model paired with its native harness, so Codex can get implementation or review from an independent model with different context and assumptions.

That expands Codex's effective sub-agent pool and can use provider quota you already have. Subagent MCP never enables, purchases, auto-reloads, or silently opts into usage credits or paid overage.

Adapters translate every native harness into the same lifecycle: delegate, observe, steer, and close. The core hard-codes no provider role or model name.

Stable: 1.0.31 targets Windows. The MCP, package, localhost UI, and

Claude Code and DeepSeek native-harness integrations are ready.

Runtime status

  • Claude Code — Ready. Uses the native Claude Code harness, provider-native model and reasoning settings, subscription OAuth identity, and live no-overage evidence before accepting its output. Project/local context and exact auto-compaction-trigger attestation remain explicit capability gaps.
  • DeepSeek Harness — Ready. Uses its native ACP transport and harness-published model catalog for bounded tasks. Resume after an MCP restart, exact provider quota evidence, interactive input, and declared MCP remain explicit capability gaps. A provider-retired model route fails terminally and is never replaced without the user's explicit selection.
  • Grok Build — Ready for read-only review. The Windows adapter uses cached native login only and allows no credits, paid overage, or model fallback. Version 1.0.31 advertises and accepts repo_read only. Bounded writing remains In development and workspace_write requests fail before a native process starts. Other explicit gaps are terminal/test/Git execution, network/web/browser, MCP/plugins/hooks, nested agents, native worktrees, restart recovery, macOS/Linux support, and exact pre-request quota.

Runtime behavior comes from adapters rather than provider-specific branches in the core.

Quick start

1. Install

Install uv if needed, then register the exact isolated release and start its background UI:

winget install --id=astral-sh.uv -e

codex mcp add subagent-mcp -- uvx --isolated --from subagent-harness-mcp==1.0.31 subagent-harness-mcp serve uvx --isolated --from subagent-harness-mcp==1.0.31 subagent-harness-mcp ui --background

Start a new Codex task after registration.

2. Configure runtimes

Open http://127.0.0.1:8765 in a browser. If the background UI was stopped, start the same exact release again:

uvx --isolated --from subagent-harness-mcp==1.0.31 subagent-harness-mcp ui --background

The settings and read-only activity UI stays on the fixed loopback port and does not depend on an active MCP connection.

If a runtime shows Sign in required, click Sign in. Its native harness opens the operating system's default browser; Subagent MCP never asks for or stores credentials. Complete login there, then click Refresh. A status check never opens a browser by itself.

Current and recent activity is listed by external agent. Select a row to inspect its model, native harness, workspace, permissions, write set, current stage, lifecycle, elapsed time, and redacted terminal result. Prompts, transcripts, hidden thinking, and raw provider events are never displayed.

3. Delegate

Ask Codex in plain language:

Use Subagent MCP to ask an external agent to review this change, then

evaluate its findings independently.

Codex chooses what to delegate, observes the result, and keeps the final judgment. Lifecycle responses are compact by default; full redacted reports remain in local product state and can be read or relayed later by hash-bound reference.

For an approval tied to an exact file, pass inputs on agent_spawn (inside task) or agent_send:

[{"path":"docs/specs/review.md","expected_sha256":"<lowercase SHA-256>"}]

The MCP hashes each repository-relative file read-only immediately before the native turn. Status returns the verified hash and configured reasoning attestation; a changed file fails before the external agent runs.

Models and fallback order

Each native harness publishes its own model choices. The UI shows friendly names and an ordered priority stack; exact provider IDs remain available for advanced routes.

Claude choices come from the installed standalone CLI through the public Agent SDK. Discovery resolves native aliases to exact model IDs without sending a prompt, and caches the resulting metadata for up to 60 seconds. A CLI identity change invalidates the cache. Missing authentication or unavailable discovery leaves custom exact-ID input available; it does not change saved model choices. New model names do not require a new MCP release, but a model can still require a newer native CLI. The usual compatibility canary remains separate.

The model picker adds and removes models only through explicit actions. Opening and applying it leaves the existing order unchanged unless you edit it.

runtime_list includes config_revision. After user approval, configure a runtime through runtime_configure using that revision and a new request ID:

{

"request_id": "choose-claude-model-1", "expected_revision": 7, "patch": { "runtimes": { "claude-code": { "options": { "variant.0.model": "claude-opus-5-5", "variant.0.reasoning.effort": "max" } } } } }

The example changes an existing variant. For a fresh runtime, supply enabled: true and options.model_priority with the chosen IDs plus its required reasoning options. Settings and MCP use the same validation and revision check. A repeated identical request observes its saved receipt; different input needs a new request ID. An interrupted mutation with no receipt requires inspecting current state before another change. This tool cannot change project trust and never starts authentication, a live canary, or a provider task automatically.

When a provider explicitly reports exhausted quota or credit (QUOTA_PAUSED), Subagent MCP moves that exact model to the bottom for future tasks. It does not retry the failed task. Ambiguous failures, crashes, and timeouts do not reorder models or trigger another paid request.

That failed task stays terminal, but the next explicit delegation checks the provider again live; no cached reset clock or wait-until checkpoint substitutes for that check. When the native harness exposes no safe pre-request quota endpoint, status stays unknown rather than inferred exhausted.

Operational recovery is capped at three actions. Local state work and explicit pre-provider failures may be retried. DeepSeek also retries an explicit temporary upstream HTTP 429 at most three total attempts. A generic provider failure is never replayed automatically: a read-only task returns bounded guidance for a new explicit attempt, while a write task remains non-retryable until its write set and possible effects are reconciled. Quota, credit, billing, timeout, and ambiguous lifecycle failures never trigger another provider call. Native ACP failures include bounded redacted RPC/provider details when the harness exposes them; unknown quota remains a provider error, not exhaustion.

DeepSeek routes may use an existing subscription, unlimited offer, or funded balance that the user authorizes. Subagent MCP never purchases, reloads, or increases that balance.

Review permissions and source consent

agent_spawn sends the task and source read by the native harness to the selected external provider. An omitted or null required_capabilities defaults to ["repo_read"]. Explicit lists, including [], are preserved; write permission is never inferred. runtime_list advertises each manifest's required_semantic_permissions; Claude and Grok require repo_read.

Missing mandatory permissions fail locally as REQUEST_INVALID, before a runtime probe, task-input read, execution claim or provider launch. The response includes recovery.action="repair", reason="declare_required_permissions" and max_attempts=1. Follow next_action: correct the payload with a new request_id only when the required provider/source access is already authorized. An explicit restriction must not be silently replaced. This correction does not permit replaying a failed native execution or retrying quota, authentication, access, policy or ambiguous-launch failures.

The controller should reuse existing authorization for the named provider and source scope. If a spec-only review needs additional private source, ask before dispatch, for example: "May the selected provider read this spec and these named source folders for a read-only review?" Use the host's supported approval or user-question tool; explain any host rejection, keep the question pending, and honor the answer. Do not repeat a rejected call without the required approval. task.inputs verifies file identities; it is not a read sandbox or consent receipt. The MCP server cannot display a question after the host rejects a call before it reaches the server, and chat consent does not grant OS/OAuth access.

Long-running work

agent_wait is a bounded local observation, not a model deadline. If it returns running with wait_policy=continue_while_running, the external agent may still be working or thinking. Keep observing the same conversation; elapsed time alone never triggers retry, fallback, interruption, or another provider request.

Concurrent writers

A write task can declare up to 32 repository-relative file or directory roots in write_set. External writers may run concurrently when their canonical absolute sets are disjoint. Equal paths and parent/child paths conflict; task and lane names do not affect locking.

Omitting write_set gives the execution the whole workspace for backwards compatibility. Each adapter also enforces the normalized paths at its native harness boundary. Inspect runtime_list before creating a write request: write_root_mode=path-prefix supports exact file or directory prefixes, while existing-directory requires an existing directory. The current DeepSeek Harness native session advertises existing-directory and one writable root. Subagent MCP never widens an exact-file scope to its parent directory; use that broader directory only when it is explicitly acceptable, otherwise choose a runtime that enforces path-prefix. Multiple valid directory roots are split into disjoint writer calls. These leases coordinate Subagent MCP executions; they are not an operating-system sandbox for unrelated local processes.

On the current Windows public slice, set cwd to the checkout root and use workspace="current". For a DeepSeek write, pass workspace_write and exactly one existing directory relative to cwd, for example write_set=["Assets/_Project/Core/Scripts/GameSettings"]. An absolute path, missing path, or exact file is not a valid existing-directory root.

On Windows, the DeepSeek native sandbox must materialize a restricted-token ACE, so the current user also needs WRITE_DAC on the selected directory. Subagent MCP checks that capability read-only before ACP or provider work. It does not change ownership or ACLs. A failed check stays CAPABILITY_MISSING; it never falls back to danger-full-access.

How it fits together

flowchart LR

C["Codex Main agent & orchestrator"] M["Subagent MCP Gateway"] UI["Localhost UI Setti

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