Sighttrue MCP server
2026년 11월 15일 커밋AI agent를 위한 오픈소스 의존성 상태, 지원 종료(EOL) 여부, 모델 가격 및 보안 사고에 대한 실시간 측정 데이터를 제공합니다.
다른 이름 kaitzyy-dev/readout
- 스타
- 1
- Tools
- —
- 다운로드, 30일
- —
- 최신 버전
- 1.0.0
- 마지막 커밋
- 2026년 11월 15일
- 라이선스
- MIT
Sighttrue MCP란?
Sighttrue은(는) MCP server입니다. AI agent를 위한 오픈소스 의존성 상태, 지원 종료(EOL) 여부, 모델 가격 및 보안 사고에 대한 실시간 측정 데이터를 제공합니다.
프로젝트 README에서 생성된 요약
Sighttrue MCP server 정보
Readout은 AI agent가 오픈소스 의존성 상태, 보안 사고 및 모델 가격에 관한 실시간 측정 데이터에 접근할 수 있도록 하는 MCP server를 제공합니다. 이 도구는 오래된 학습 데이터에 의존하는 대신 최신 데이터가 필요한 코딩 agent 사용자 개발자를 위해 설계되었습니다. server는 원격 URL에 연결하며 작동을 위해 API key, 계정 또는 회원가입이 필요하지 않습니다.
사용자는 check_before_install, check_package, check_stack, search_repositories, compare_repositories, find_model, check_eol, check_provider, list_readings를 포함한 다양한 도구를 사용할 수 있습니다. 이러한 도구를 통해 agent는 발행자가 패키지를 철회했는지, 저장소가 아카이브되었는지, 또는 의존성이 source-available 라이선스로 변경되었는지 식별할 수 있습니다. 이 server는 주관적인 안전 등급이나 권장 사항을 제공하지 않고, 보안 권고 횟수나 bus factor와 같은 가공되지 않은 측정값을 제공하는 데 집중합니다.
활용 사례
- 1설치 전 의존성 상태 확인AI agent가 특정 패키지를 프로젝트에 추가하기 전에 발행자가 패키지를 철회했는지 또는 저장소가 아카이브되었는지 확인할 수 있습니다.
- 2패키지 보안 및 유지보수 감사agent가 특정 의존성에 대한 보안 권고 횟수와 bus factor를 조회할 수 있습니다.
- 3지원 종료(EOL) 상태 확인AI client가 특정 소프트웨어 버전이 여전히 지원되는지 또는 지원이 종료되었는지 판단할 수 있습니다.
프로젝트의 README를 바탕으로 작성되었습니다. 모든 활용 사례는 해당 내용의 인용문과 대조하여 확인합니다.
Sighttrue MCP 설치 방법
형식 확인: 2026년 11월 10일Cursor에 추가Goose에 추가Claude Code에 Sighttrue MCP 설치
$ claude mcp add --transport http readout https://readout-7pt.pages.dev/api/mcpCursor에 Sighttrue MCP 설치
~/.cursor/mcp.json
{
"mcpServers": {
"readout": {
"url": "https://readout-7pt.pages.dev/api/mcp"
}
}
}VS Code에 Sighttrue MCP 설치
.vscode/mcp.json
{
"servers": {
"readout": {
"type": "http",
"url": "https://readout-7pt.pages.dev/api/mcp"
}
}
}VS Code CLI에 Sighttrue MCP 설치
$ code --add-mcp '{"name":"readout","type":"http","url":"https://readout-7pt.pages.dev/api/mcp"}'Codex에 Sighttrue MCP 설치
$ codex mcp add readout --url https://readout-7pt.pages.dev/api/mcpCodex config.toml에 Sighttrue MCP 설치
~/.codex/config.toml
[mcp_servers.readout] url = "https://readout-7pt.pages.dev/api/mcp"
Gemini CLI에 Sighttrue MCP 설치
$ gemini mcp add -s user --transport http readout https://readout-7pt.pages.dev/api/mcpGemini settings.json에 Sighttrue MCP 설치
~/.gemini/settings.json
{
"mcpServers": {
"readout": {
"url": "https://readout-7pt.pages.dev/api/mcp",
"type": "http"
}
}
}자동 검사
2026년 11월 14일에 실행됨전체 보고서 →아직 인증되지 않았습니다. 서버는 80점 이상의 점수, 심각한 결함 없음, 그리고 검사에 충분한 데이터를 갖추어야 합니다. 검사 방식 · 점수를 높이기 위해 수정할 항목
- 소스 저장소 연결 및 접근 가능kaitzyy-dev/readout is public and reachablegithub.com/kaitzyy-dev/readout ↗통과
- 패키지가 이 저장소를 소스로 명시검사되지 않음
- 빌드 출처(Sigstore 증명)검사되지 않음
- 오픈 소스 라이선스 (OSI)MITspdx.org/licenses/MIT.html ↗통과
- 최근 1년 내 커밋 또는 릴리스Last commit or release 2026-11-14github.com/kaitzyy-dev/readout ↗통과
- OpenSSF Scorecard검사되지 않음
- 패키지 이름이 인기 패키지와 유사하지 않음검사되지 않음
- 패키지 및 해당 종속성에 중요한 보안 권고 없음검사되지 않음
- 모델에 대한 숨겨진 지침 없음0 tool descriptions and the README read; no override phrases, credential paths or hidden characters통과
- 파괴적인 도구에 라벨 표시됨검사되지 않음
- 원격 엔드포인트가 MCP 핸드셰이크에 응답initialize answered with protocol 2025-06-18 in 71 ms통과
README
GitHub에서 보기Sighttrue
sighttrue.com · your stack · compare · method · feed
Check your dependencies in CI
permissions:
pull-requests: write # only needed for the comment
steps:
- uses: actions/checkout@v4
- uses: sighttrue/sighttrue@v1
with:
manifest: package.json
fail-on: withdrawn,archived,relicensed
Fails the build when a dependency's own publisher has withdrawn it — npm calls
it deprecated, PyPI and crates.io call it yanked, RubyGems yanked, Packagist
abandoned, NuGet deprecated — or when its repository has been archived or moved
to a source-available licence, and reports advisories either way. Reads
package.json, requirements.txt, pyproject.toml, Cargo.toml,
composer.json and Gemfile. No key, no
account, no service to sign up to — it reads published measurements and talks
to OSV. A network problem is never a finding: if the readings cannot be fetched
the step says so and passes, because a build that breaks when somebody else's
site is down is a build that gets deleted.
On a pull request it also leaves a comment with the findings as a table, and
rewrites that same comment on every push rather than adding another. A red
build tells a reviewer that something is wrong; it does not tell them which
dependency, or what changed about it, without opening the log. Set
comment: false to report only in the step summary. A pull request from a fork
gets a read-only token, so the comment is skipped there and the step still
passes.
Also runs against requirements.txt and Cargo.toml.
Or install the App and change nothing
The Action needs a workflow file in every repository that wants it. The GitHub App needs one install and then watches every repository it is given, with no workflow, no key and no configuration: when a pull request adds a runtime dependency that is on the watchlist, it leaves one comment with what is on record — downloads, OpenSSF scorecard, advisory count, licence, last push — and edits that same comment on every later push.
It says nothing at all when a pull request changes no manifest, adds no dependency, or adds nothing that is tracked. That is the common case and it is the point: a bot that comments to say it found nothing gets uninstalled. It never calls a package safe, unsafe or recommended, because none of those are things this project measures.
The Action fails a build; the App only reports. Both read the same published bundle, so they cannot disagree.
An SBOM you are allowed to hand over
/stack exports the readout as a CycloneDX 1.6 document, with each dependency's advisory count, scorecard, licence, publish date and bus factor attached as properties. Built in the browser from the pasted manifest, like everything else on that page — nothing is uploaded, and there is no endpoint to send a manifest to.
It states no versions. A manifest declares ^1.6.0; it does not say what was
installed, and it says nothing about the transitive tree underneath. The
document says both of those things in its own metadata rather than leaving a
reader to notice, because an SBOM that guessed would be worse than none: a
compliance artefact asserting something nobody resolved.
Suggest something to watch
The watchlist is curated and partial, and it was chosen by hand with no method beyond judgement — its weakest point. Open an issue to argue for a repository. Every change to the list is a reviewed commit, so that issue is where the review happens.
For coding agents
An MCP server over the same readings, so an agent can answer "is this dependency healthy" from a measurement taken today rather than from training data a year old.
{ "mcpServers": { "readout": { "url": "https://sighttrue.com/api/mcp" } } }
given a package it returns only what a reviewer would be annoyed to discover afterwards — a publisher that withdrew it, scripts it runs on the installing machine, an archived repository, advisories, a source-available licence, a long silence — each with the address of the body that published it. It does not say whether to install. It says what is on record so the decision is made knowing it, and an empty result says plainly that it means nothing was found rather than that the package is safe.
Then check_package, check_stack, search_repositories, compare_repositories, find_model, check_eol, check_provider, list_readings. Read-only, no key, no account. Every result carries the
limits of what it can support, because an agent will paste these figures into a
code review and a scorecard quoted without "measures declared practices, not
whether the project is safe" is a claim this project does not make.
Without MCP, one GET returns the same thing:
curl 'https://sighttrue.com/api/verdict?pkg=npm:axios'
curl 'https://sighttrue.com/api/verdict?pkg=pypi:django&version=4.2'
Advisories, licence, when the registry last shipped it, the bus factor, and whether the release is still supported — each with the address of the body that published it, so a figure quoted into a review can be checked in one click. Despite the name there is no verdict in it: no score, no rank, no recommendation. Those would be this project's judgement of somebody else's work wearing the costume of a measurement.
eleven readings, most of which never touch GitHub: 807 provider incidents kept after their own status pages dropped them, 522 release lines on the end-of-life clock, 382 model prices, 182 packages by real ship date, 416 commit histories for the bus factor. It runs every four hours on GitHub Actions, commits what it reads to this repository, and publishes a static site.
Every page and every bundle is a file. There are five dynamic routes and no page
depends on any of them: /api/ask, /api/mcp, /api/chain,
/api/github/webhook for the App, and the sign-in and watchlist endpoints under
/api/auth and /api/watchlist. Signing in with
GitHub saves a watchlist and nothing else — the readings on a signed-in page are
the same published bundle anyone can download.
The commit history of data/ is the point. It is an audit trail: every reading
is timestamped, append-only, and checkable against GitHub directly.
What it reports
Eleven readings, each named by the question it answers rather than by the collector that produces it. The same list drives the site's navigation, so the two cannot drift — they had, three times over, before it was written down once.
| Reading | Question it answers | Touches GitHub |
|---|---|---|
| Live | What changed in the last few hours? | yes |
| Ships | What released a new version? | yes |
| Forks | What is being copied faster than its own baseline? | yes |
| Demand | What are developers asking for, across more than one project? | yes |
| Dependencies | What is being added, dropped, or jumped a major version? | yes |
| Lineage | Which models say they were built on which? | no |
| Model prices | What does a million tokens cost, and when did that change? | no |
| Outages | Does the thing I depend on go down, and how often? | no |
| Ecosystem | What do the registries, advisories and forums say? | no |
| Depended on | What does everything else quietly rely on? | no |
| This week | What would I have missed looking once a week? | — |
The six that never touch GitHub are the answer to the fair complaint that a GitHub summariser is worth only what GitHub already shows you.
Whether each detector's threshold is reachable at all is published too, on the index under Our record. A detector nothing has ever come close to is not a quiet detector, it is a misconfigured one, and the site says so about itself.
How to read it
Every comparison is against a repository's own history, not against other repositories. "27× baseline" means 27 times what that project normally does, and the baseline is drawn on the chart so you can see what normal means.
Confidence is stated, never implied.
| State | Meaning |
|---|---|
forming |
Under 14 days of history. Raw counts only. No multiplier is computed and none is implied. |
detected |
Crossed the threshold once. Neutral treatment. |
confirmed |
Persisted across two consecutive daily snapshots. |
Only confirmed signals are treated as findings. That costs up to a day of
speed and buys the thing that cannot be bought back.
Generated prose is set in a different typeface from measured values. Where a sentence explains a number, every figure in that sentence is checked against the source record before it is published; if any of them is not in the record, the sentence is discarded and a templated one is used instead.
What this does not claim
- The watchlist is curated and partial. It is chosen by hand and is not a survey of open source. Dependency and demand findings describe the repositories being watched, not the ecosystem.
- The data is not real-time. Four hours is the floor, and scheduled runs are routinely delayed.
- Nothing here predicts anything, and nothing here says a repository is good, bad, safe, or unsafe.
- Appearing on the watchlist is an observation, not a relationship. No project listed here has endorsed this.
Published findings that turn out to be wrong are superseded by a correction event carrying the same prominence. Events are never deleted and history is never rewritten.
The data
Every bundle the site reads is served as JSON, so any claim can be checked against the same file the page used.
data/
├── live/state.jsonl Latest reading per repository. Sorted, rewritten each pulse.
├── live/window.jsonl Timestamped fork samples, for the rolling 24h delta.
├── live/manifests.jsonl Last-seen dependency set, diffed daily.
├── history/YYYY-MM-DD.jsonl One immutable snapshot per day.
├── events/YYYY-MM.jsonl Append-only. Never rewritten, never pruned.
├── summaries.jsonl Generated prose, keyed by event id.
├── watchlist.jsonl What is watched, and since when.
└── meta.json Last run status.
Files are sorted with a fixed key order so a repository that did not change produces no diff. That is what keeps a repository committed to six times a day from growing without bound.
Running it
Node 24. Types are stripped natively, so there is no build step and no runtime dependencies.
It said 22.18+ until the D1 schema arrived. The tests load migrations/ into
node:sqlite, which is stable in 24 and behind a flag in 22 — so on 22 the
suite fails on an import rather than on an assertion, which is a confusing way
to learn a version requirement.
npm install # dev dependencies only: typescript, vitest, fonts
npm test
npm run typecheck
node scripts/pulse.ts --limit=20 # needs GITHUB_PAT
node scripts/daily.ts
node scripts/build.ts # emits dist/
Watchlist maintenance
The watchlist is curated. Deriving it from a search query was tried and produced
a worse list — topic search only finds repositories that tagged themselves, and
sorting by stars ranks tutorials and link collections above infrastructure.
derive-watchlist.ts is kept for proposing candidates a curator might have
missed, and because the negative result is worth being able to reproduce.
node scripts/verify-watchlist.ts # check every entry against the API
node scripts/retire-watchlist.ts # mark archived and deleted ones inactive
node scripts/derive-watchlist.ts # propose candidates, writes nothing
node scripts/derive-packages.ts # map repositories to packages, writes nothing
derive-packages.ts fills the packages field, which is what lets the agent
ask what a project's downloads are doing rather than only what its repository is
doing. It never maps on a name match: a candidate is proposed, the registry's own
record for that name is fetched, and the mapping is kept only when the registry
points back at this repository. That rule is not decoration — the first version
matched on substring and mapped angular/angular to the npm package angular,
which belongs to the archived angular/angular.js, and would have credited a
dead project's downloads to a live one.
Nothing is ever removed. Retired entries stay on the list with active: false,
because deleting one would erase the record that it was watched at all, and the
findings collected while it was still link to it.
Two scheduled workflows do the rest. pulse.yml runs every four hours for
repository base and releases; daily.yml writes the canonical snapshot,
classifies spikes, and collects issues and manifests. Both commit every run,
including when nothing changed — scheduled workflows are disabled after 60 days
of repository inactivity, and that commit is what prevents it.
Configuration
| Secret | Purpose |
|---|---|
SIGNAL_GITHUB_PAT |
Fine-grained token, public repository read only. Secret names cannot begin with GITHUB_. |
CLOUDFLARE_API_TOKEN |
Cloudflare Pages: Edit |
CLOUDFLARE_ACCOUNT_ID |
|
GROQ_API_KEY |
Optional. Without it every reading still publishes, with numbers and no prose. |
Both optional groups are genuinely optional: unset, their steps skip and say so. Nothing is marked as a failed run, because choosing not to configure something is not a fault, and a warning that is always on is a warning nobody reads.
License
MIT. See LICENSE.
Cost
Cloudflare Pages, GitHub Actions on a public repository, and Groq's free tier. Static assets and bandwidth on Pages are unlimited, so visitor traffic has no ceiling. Every remaining limit applies to the build side, which is bounded and predictable.
Sighttrue MCP 질문
Sighttrue MCP를 Claude Code에 추가하려면 어떻게 하나요?
터미널에서 claude mcp add --transport http readout https://readout-7pt.pages.dev/api/mcp를 실행합니다. 모든 프로젝트에서 사용할 수 있게 하려면 --scope user를 추가합니다.
Sighttrue MCP를 Cursor에 추가하려면 어떻게 하나요?
~/.cursor/mcp.json를 열고 mcpServers 아래에 서버를 추가합니다. 위 설치 섹션에 표시된 Cursor 구성을 사용합니다.
AI agent가 이를 사용하여 의존성 상태를 확인할 수 있나요?
네, 이 MCP server를 사용하면 agent가 오래된 학습 데이터 대신 최신 측정값을 기반으로 의존성의 상태를 확인할 수 있습니다.
이 서비스를 사용하려면 API key나 계정이 필요한가요?
아니요, 이 server는 읽기 전용이며 사용을 위해 key나 계정이 필요하지 않습니다.
어떤 구체적인 의존성 정보를 가져올 수 있나요?
철회되거나 지원이 중단된 패키지, 아카이브된 저장소, 보안 권고 사항, 라이선스 변경 및 bus factor에 대한 데이터를 제공합니다.
패키지의 안전 여부에 대한 권장 사항을 제공하나요?
아니요, 측정값만 제공하며 패키지를 안전, 불안전 또는 권장 상태로 분류하지 않습니다.