Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Check how many years of verifiable history a person has behind accounts they already own.
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.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://patinadata.xyz/api/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http patina https://patinadata.xyz/api/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"patina": {
"url": "https://patinadata.xyz/api/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"patina": {
"type": "http",
"url": "https://patinadata.xyz/api/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://patinadata.xyz/api/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 ramakrishnanhulk20 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
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.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Tethered Trust
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.
Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Patina
Proof of tenure for accounts a person already owns
Anyone can make a new account. Nobody can make an old one.
Live App • Documentation • MCP Server • Verify a score
Overview • The Score • Privacy • Architecture • Quick Start • Integration • Test Results
| Surface | URL |
|---|---|
| App | patinadata.xyz |
| Docs | patinadata.xyz/docs |
| MCP | patinadata.xyz/api/mcp |
| Verifier | patinadata.xyz/verify |
| Registry | io.github.ramakrishnanhulk20/patina |
| Signing address | 0x3989bdFaf3BA242d27B4D0cEed98F446d0c52DAD |
Patina reads the history in accounts somebody already owns and turns it into portable, verifiable evidence that a real human has been there for years. It is built on Vana, the data portability protocol: the data lives in the user's own Personal Server, is read once under a grant they can revoke, and never passes through an OAuth handoff that keeps it.
Sybil resistance is unsolved and expensive. An airdrop, a quadratic funding round, a DAO vote or a free trial all need to know whether they are talking to a thousand people or to one person with a thousand wallets. The usual answers are poor: biometrics are invasive, KYC destroys privacy, and most behavioural signals can simply be bought.
Somebody running an account farm can buy followers, bulk-upload posts and fill in a convincing profile. What they cannot buy is a decade.
| KYC | World ID / proof of personhood | Patina | |
|---|---|---|---|
| Proves years of history | No | No | Yes |
| Proves you are one unique person | Partly | Yes | No |
| Works without a wallet | Yes | No | Yes |
| Works without biometrics | Yes | No | Yes |
| User can revoke access afterwards | No | No | Yes |
| Another app can reuse the proof | No | Yes | Yes |
Patina answers tenure, not uniqueness. A freshly verified unique human can be produced today; sixteen years of corroborated activity cannot. The two are complementary, and the tool descriptions say so rather than implying otherwise.
Collection is meant to run through Vana Desktop, which opens a browser on the user's own machine and asks them to sign in. Credentials never leave the device and Patina never sees a password.
But Vana has two collection paths and does not report which one it used. The other reads a public page from a profile URL, which proves an account exists and nothing about who holds it. So "desktop only" cannot be asked for; it has to be forced.
Every source therefore requires one scope a public page cannot serve, and the read is refused if it does not come back. LinkedIn must produce connection dates, Spotify saved tracks, YouTube its Watch Later list. A request containing something private cannot be answered from a public profile, so the person ends up on Desktop and has to log in. sources.test.ts fails if a source is ever added without one.
Steam was withdrawn for the same reason. Its connector never signs anybody in: it takes a Steam Web API key and a Steam ID, and a Steam ID is public. Anyone could have handed Patina a stranger's account age and friend dates as their own, and unlike YouTube there was no private scope to require instead.
Instagram is paused for a related reason. Its proof scope, instagram.posts, is one Vana's server collects from the public page, so a read proves the account exists and nothing about who holds it, and Instagram has no private scope Patina could require instead. It is not offered, both Vana routes refuse it before any money is spent, the handle resolver will not look it up, and Instagram data already stored is left out of every score. It comes back when the phone app's signed-in proof lands.
GitHub, LinkedIn, Spotify, YouTube, Amazon, Uber, DoorDash and Shop. All of a source's scopes go in one approval, so the whole manifest is eight approval trips rather than seventeen.
Every scope is requested for its dates. Captions, addresses, emails, track names, game titles and other people's names are discarded before anything is stored, and a test fails if any of them reach the store.
Every non-provisional score carries an EIP-191 attestation anyone can verify offline against Patina's published address. No key, no OAuth, CORS open.
Attestations expire after thirty days, and the expiry sits inside the signed message rather than beside it, so checking freshness stays offline too. A revocation list would have fixed the same problem by making every verifier call Patina, which is exactly the dependency people integrate to avoid. Scores are signed with a key separate from the one holding the escrow balance, so a leak of one is not a leak of both.
/api/health does a real write-and-read against the database and a live read of the escrow balance, and returns 503 when the deployment cannot serve the next person, so ordinary uptime monitoring catches an outage without being taught what to look for. A password-gated /admin shows the funnel, the user numbers and how many more connections the balance will fund. Funnel counting is done server-side: no third-party script, no cookie banner, nothing that contradicts the privacy page.
An MCP server exposes the score to AI agents mid-conversation, with a handle resolver that returns tenure without revealing identity.
Six components, weighted by how expensive each one is in time rather than in money.
| Component | Max | What it measures |
|---|---|---|
| Age | 30 | The oldest date provable across every connected source. Full marks at twelve years. |
| Continuity | 25 | Distinct months the person was actually present for, as absolute count times coverage. |
| Corroboration | 15 | Independent sources agreeing on the date, each weighted by its own age. |
| Vouches | 12 | *When* other people chose to connect, not how many. Weighted by how long ago. |
| Depth | 10 | Things actually made, discounted when the volume arrived in one burst. |
| Breadth | 8 | Independent accounts backing each other up. |
Age and the two time components are earned outright. Depth, Vouches and Breadth are gated behind them: an attacker can manufacture volume, friends and breadth in an afternoon, so those only count to the extent that real elapsed history backs them up. A floor of 15% stops a genuinely young person being flattened to zero for the crime of being nineteen.
Scored against reference profiles, asserted in score.test.ts:
| Profile | Score |
|---|---|
| Eleven active years across four accounts | 95 |
| Ordinary: eleven years, two accounts, real gaps | 71 |
| Genuinely young: three years, two accounts, real | 26 |
| Account farm: 3,900 bought followers, 120 posts in one week | 2 |
The gap between an ordinary person and a farm is 69 points. That gap is the product.
Stated on the site itself, not buried here:
Every scope below is requested for its timestamps. This table is the trust argument, so it is on the privacy page in roughly this form too.
| Scope | Kept | Discarded on arrival |
|---|---|---|
linkedin.connections | dateConnected[], count | names, headlines, profile URLs |
instagram.posts | nothing new while Instagram is paused; data already held is not scored | captions, images, likes, the entire who_liked[] array |
spotify.savedTracks | added_at[], total | track names, artists, albums |
github.history | createdAt[], hashed repo, summed engagement | PR and issue titles and bodies |
linkedin.experience / education | parsed date ranges | companies, job titles, schools, grades |
uber.trips | requestTime[], count | pickup and dropoff addresses, fares, cities |
amazon / doordash / shop orders | dates, count | items, merchants, totals, delivery addresses |
youtube.profile | joinedDate, counts | email address |
youtube.watchLater | nothing at all | everything; it is requested only as proof of a signed-in session |
Timestamps collapse to month buckets before storage. The scorer only ever asks about months, so holding anything finer would be holding it for no reason.
graph LR
U[User] -->|1 Connect| P[Patina] P -->|2 createAccessRequest all scopes for one source| V[Vana Account API] V -->|3 approval URL| U U -->|4 Open in Vana Desktop| D[Vana Desktop] D -->|5 Playwright signs in on the user's machine| S[Source] S -->|6 import| PS[Personal Server] P -->|7 read every scope one grant| PS P -->|8 settle 402| E[Escrow Gateway] P -->|9 normalise, discard, score| R[(Redis)]
sequenceDiagram
participant App as Patina participant PS as Personal Server participant GW as Escrow Gateway
App->>PS: GET /v1/data/{scope} PS-->>App: 402 with accessRecord App->>GW: authorizeGrantPayment(accessRecord) GW-->>App: receipt App->>PS: GET /v1/data/{scope} PS-->>App: 200 payload Note over App: repeat per scope, same grant App->>PS: acknowledgeRead (once, at the end)
acknowledgeRead moves the request to completed, which is terminal and not read-ready. Firing it after the first scope would strand the rest behind a Personal Server no longer serving them, after the user had paid.
graph LR
RAW[Raw payload] -->|readScope| F[Fragment months + counts] F -->|stored by scope| DB[(Redis)] DB -->|evidenceFrom| EV[Evidence] EV -->|scorePatina| SC[Score] EV -->|buildStory| ST[Story] SC -->|buildAttestation| AT[Signed attestation]
Fragments are keyed by scope and merged at scoring time. A retried read overwrites its fragment rather than adding its months a second time, so a stuttering connection cannot inflate a score.
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요