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SUNGLASSES

제작자: sunglasses-dev버전 0.6.8i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.sunglasses-dev/sunglasses

설치

개요

제작자가 쓴 설명(영어 원문)

Input firewall for AI agents: scan text and files before an agent reads them. Local, no network.

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": {
    "sunglasses": {
      "command": "uvx",
      "args": [
        "sunglasses"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add sunglasses -- uvx sunglasses

Cursor에서 열기

또는 설정을 직접 복사하기

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

{
  "mcpServers": {
    "sunglasses": {
      "command": "uvx",
      "args": [
        "sunglasses"
      ]
    }
  }
}

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": {
    "sunglasses": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sunglasses"
      ]
    }
  }
}

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 sunglasses-dev 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 32451개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32451개 중 62%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32451개 중 100%와 같거나 더 좋아요

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

자주 묻는 질문

SUNGLASSES, 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(0.6.8)은 24일 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, Recta

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

Recta

제작자: RectaBuild

Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.

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.

SUNGLASSES

Open source input firewall for AI agents, beta. A local scanner checks text, code, PDFs, images, QR codes, audio and video with 1,513 patterns that carry a matcher (1,584 are listed) across 117 listed categories and reports findings and incomplete scans. A Claude Code hook blocks secret material in tool calls and the paths and hosts your policy lists, before a tool runs, best effort under its 10 second timeout.

What works today

  • Scan text, files, PDFs, images and QR codes from the CLI or from Python
  • An MCP server your agent calls, and a GitHub Action that scans every pull request
  • A Claude Code hook that blocks the credential paths and policy violations your policy lists, before a tool runs
  • A local MCP proxy that refuses every tools/list and tools/call until a person approves the server at an interactive terminal. Once approved, it withholds a credential in a tool call or in a tool result, which is the credential lane and not general inspection of everything a tool returns. Installing it is not protection on its own. See What the proxy enforces.
  • Outside that lane this reads input, so a clean result is a confidence floor and not a guarantee

Sunglasses is a local, open-source scanner for text and supported files. It reports what it matched and what it could not read, so you can decide what to pass onward. It produces findings and an exit status; a CI job, a Claude Code hook or your own code acts on that result.

Sixty seconds

python3 -m venv .venv && source .venv/bin/activate

python -m pip install --upgrade sunglasses curl -fsSL -o sixty-seconds.sh https://raw.githubusercontent.com/sunglasses-dev/sunglasses/main/demo/sixty-seconds.sh && bash sixty-seconds.sh

An activated virtualenv keeps the install and the sunglasses your shell resolves in the same environment, and --upgrade matters if you already have an older version. curl -fsSL fails on an HTTP error instead of saving the error page, so the script only runs if the download actually succeeded.

The script writes three fixture files into a temp directory, and deliberately scans a fourth path that does not exist, five scanner invocations in total, because the archive is scanned twice (human output and JSON). The script's own commands execute; scanned content stays data (it is never executed, and the ZIP is not extracted).

Abbreviated output, recorded on 0.5.6. Finding rows 2-5 are omitted below; timings and presentation are not shown because they vary:

$ sunglasses scan --file notes.md            # ordinary sprint notes

PASS — No threats detected. scanner exit code: 0

$ sunglasses scan --file vendor-brief.md # a vendor brief with an instruction buried in it BLOCK [HIGH] — 6 threat(s) found:

  1. [HIGH] Ignore previous instructions GLS-PI-001 … findings 2-5 omitted …
  2. [HIGH] Data exfiltration to sink (mechanism) GLS-MECH-003

scanner exit code: 1

$ sunglasses scan --file attachments.zip # an archive we do not extract INCOMPLETE No findings in the inspected scope. Part of this input was not read, so this is not a clean result. scanner exit code: 3

$ sunglasses scan --file missing.md File not found: missing.md — Nothing was scanned. Check the path. scanner exit code: 2

And the same archive as JSON. Selected fields from the scan document, not the whole of it:

{

"decision": "not_inspected", "threat_found": false, "inspection_complete": false, "is_clean": false, "extraction_warnings": [ "ZIP archive not inspected — SUNGLASSES does not extract this format, so no content from attachments.zip was scanned. This is not a clean result. It lists 2 members, 33 bytes declared by the archive (brief.txt, notes/summary.txt); the member names were scanned." ] }

decision: not_inspected with `is_clean: false`. The archive's table of contents was read and its member names were scanned; the members themselves were not, and when no member name matches a pattern the decision says so itself (before 0.6.17 it said allow beside is_clean: false). A caller that tests `decision == "allow"` stops here; one that tests `decision != "allow"` should read `threat_found` before treating this as a threat. The document exposes the distinction; acting on it is the caller's job.

*Timings and presentation vary. The demo checks the exit statuses and the ZIP coverage fields; report a mismatch against your installed version.*

⭐ If this is useful, consider starring the repository.

🕶 Or try it in your browser, no install: sunglasses.dev/scan (scan text, GitHub repos, or images). Image OCR runs locally in your browser; the image never leaves your device.

What the proxy enforces

python -m sunglasses.proxy -- runs a real MCP server as a child process and mediates the stdio session between it and your client. What it does depends entirely on whether that server has been approved, and the two states are very different.

Before approval, your client's tool requests are refused

Out of the box, every tools/list and tools/call from your client is refused. The client receives a typed JSON-RPC error like this one.

{"jsonrpc":"2.0","id":3,"error":{"code":-32070,"message":"SUNGLASSES_WITHHELD",

"data":{"reason_code":"APPROVAL_REQUIRED","rule":"S4", "status":"not_run","inspection_complete":false, "inspected_utf8_bytes":0, "server_id":"40ed892fc0f0b8819c294778c492dbd0", "snapshot_sha256":"26aeeb2f7c5b61aa33523967171d46c0d248cd13d612cef913b089daccae4c64"}}}

`server_id` and `snapshot_sha256` are the two values the approve command needs, and the refusal is where you get them. You do not have to look inside the state directory to find out what to approve.

status: not_run and inspected_utf8_bytes: 0 describe your client's request. It is not forwarded to the server and its arguments are not scanned. The proxy does read the server's own tool list first. It fetches every tools/list page from the server and scans the descriptors to build the snapshot you approve. A page with a finding is refused on that finding before any approval is looked up. Installing the proxy does not protect anything by itself.

Approval is a deliberate human step and it requires an interactive terminal.

$ python -m sunglasses.proxy approve <server_id> --snapshot <snapshot_sha256>

approving records that a human viewed this capture, and this is not an interactive terminal, so nobody did # exits 1, nothing is recorded

It prints the tool names and the first 16 characters of each descriptor digest, then asks. It records that someone at an interactive terminal answered yes to that list. From a pipe it refuses. Run it at a real terminal and answer the prompt.

An approval belongs to one server, not to a tool list. The snapshot hash covers the descriptors, and two different servers exposing the same tools have the same snapshot_sha256, but they get different server_ids, and the approval is stored against the server_id. Measured: two servers whose captures both read snapshot_sha256 26aeeb2f7c5b61aa… carry the ids 8740fa6360ce72946fa5a99e86974e01 and 0096972d2543ec556ad9eefe9c144b05, and approving the first left the second refusing with APPROVAL_REQUIRED until it was approved at its own terminal prompt.

So changing the command behind a familiar tool list does not inherit the approval you already gave. A server that presents the same descriptors as one you trust is still a server you have not approved.

After approval (both directions, in the credential lane)

With the snapshot approved, the mediator inspects messages in both directions and withholds one whose content the engine blocks, returning the reason code, the rule, the bytes inspected and the rule ids that fired:

{"jsonrpc":"2.0","id":3,"error":{"code":-32070,"message":"SUNGLASSES_WITHHELD",

"data":{"reason_code":"PROHIBITED_CONTENT","rule":"S2","status":"complete", "inspection_complete":true,"inspected_utf8_bytes":87, "rule_ids":["GLS-SD-001-API","GLS-SD-003-API"]}}}

  • A credential in a tool RESULT is withheld from your client. The -API rules are the tool-result channel. A tool result is the api_response channel: from the shell, sunglasses scan --channel api_response runs those rules, and --channel tool_output runs none of the credential rules. A test pins this wording and the three facts behind it (see the CHANGELOG entry).
  • `GLS-SD-010` is line-anchored, and that is a limit in every channel. It matches an assignment at the start of a line, so a KEY=value that is indented by any whitespace, or sits inside a JSON string, or sits behind a quote, is not matched on any channel, not in a tool result, and not in a file or a message either, which are channels it does declare. Indentation alone is enough, which makes this wider than it sounds: a config block, a YAML mapping or an indented snippet all miss. Note the assignment's POSITION is what matters and not the quoting of its value. PASSWORD="hunter2" at a line start is matched, "PASSWORD=hunter2" is not. When the value is in a known credential format the GLS-SD-001 family still catches it everywhere (GLS-SD-001 on file, message and web content, GLS-SD-001-API in a tool result), so what is actually uncovered is an assignment whose value has no recognisable shape (a password, a DSN, an internal token) once it is embedded. Closing it needs a different anchor, which is a new rule with its own fixtures rather than a channel added to this one.
  • A credential in a tool CALL does not reach the server. Verified by reading the receiving server's own input, not by asking the proxy.
  • Ordinary traffic passes. tools/list returns the real list and a benign call returns its real result.

Ctrl-C while the proxy is serving no longer aborts the interpreter. Once shutdown finishes, the process exits with status 130. Shutdown waits on the server, so a server that has stopped reading its input can hold it open.

What this is not

This is the credential lane on tool results and tool calls. It is not general inspection of everything a tool returns, and no comparison with any other tool is claimed. See *Not claimed in this release* in CHANGELOG.md.

Four exit statuses, deliberately different signals:

| exit | meaning

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