Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Deterministic physics runtime with a proof on every answer: 61 models, open and keyless over MCP.
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://mcp.zerotrustphysics.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http verifier https://mcp.zerotrustphysics.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"verifier": {
"url": "https://mcp.zerotrustphysics.com/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": {
"verifier": {
"type": "http",
"url": "https://mcp.zerotrustphysics.com/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://mcp.zerotrustphysics.com/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.
도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
list_cardsLists every domain and card this connection serves, each with one sentence, and count, how many there are. against_measurement names the evidence behind the model, in one of three words: "compared with measurement" (a real object; its description says what it was fitted on, what
describe_cardDescribes one domain and card pair: inputs, units, bounds, step limits, reject names and meanings, advisory flags, frame slots, and worked examples. With form "short" the answer is a page, enough to write a first request: what the model is of, the evidence behind it in numbers, e
compute_stepComputes one anchored step of one card and returns the state it lands on, in decimals and exact hex, with its cryptographic proof (sha384_seal) and a receipt. parameters holds the card's phase fields, its load fields and dt_s, as describe_card gives them. A step whose request or
run_trajectoryRuns one card from a start state through segments of steps, each under its own load, and seals the run. The answer holds the outcome, the final state in decimals and exact hex, a frame for each recorded step, the run_seal and a receipt. record_every sets which steps are recorded,
verify_tapeVerifies the seal of a run. Short form, which needs only what is short: request is the run_trajectory request as it was sent, with its readout and its from, whose request has none, when it had them (the answer's inputs holds neither), and run_seal is the seal its answer gave. The
list_solversLists every field solver this connection serves, each with one sentence, and count, how many there are. against_measurement names the evidence behind the model, in one of three words: "compared with measurement" (a real object; its description says what it was fitted on, what it
describe_solverDescribes one solver: inputs and bounds, outputs, invariants and tolerances, refusal names and meanings, the published reference, and a worked example. With form "short" the answer is a page, enough to write a first request: what the model is of, the evidence behind it in numbers
solveSolves one field problem with one solver and seals the solution: the outcome, the result in decimals and exact hex, its invariants, the solution_seal and a receipt. parameters holds the solver's inputs as describe_solver gives them. example, in their place, is the name of a worke
verify_solutionVerifies the seal of a solution. Short form, which needs only what is short: request is the solve request as it was sent (the answer's inputs), and solution_seal is the seal its answer gave. The request is solved again, under a physics permit and the limits and refusals of solve,
run_datasetRuns a declared plan of runs on one card, or of solves of one solver, and seals the rows under one root. A plan is a list of runs, a grid over a base run, or a seeded sample over a base run; a run is a run_trajectory request without domain and card. A plan of solves names solver
verify_datasetVerifies the seal of a dataset. Short form: request is the run_dataset request as it was sent, and dataset_seal is the seal its answer gave. The plan is run again under run_dataset's permits and limits; the answer is holds, cause ("dataset_seal" when the seal given is not the sea
verify_receiptVerifies the receipt at the end of one response against the text before it. It takes no physics permit. The receipt covers every byte of the response before it, the decimal values included, and shows who produced the response or when in no way: it has no key. matches true proves
validate_seriesRuns a run_trajectory request (without a readout) and compares one published quantity with the agent's measurements, each at a landed step. The answer is the error in numbers (rms, mean signed, greatest absolute, model minus measurement, each with its exact hex), the model value
citeGives how to cite a card or a solver: the service itself first (Zero-Trust Physics, its maker and its address) and the paper (https://doi.org/10.5281/zenodo.23517223), then the people whose measurements the model stands on (authors, title, year, address, and what each asks of tho
find_modelFinds the served model for a real thing described in plain words, such as "a lithium cell discharging in the cold". It returns the best few cards and solvers, each with fit first (the words that matched, and model_of: the one real thing it is a model of, and its range) and then a
find_flipFinds where an outcome changes, and gives the run on each side. request is a run_trajectory or solve request written out, its domain and card or its solver by the name find_model or the lists give, with no from, readout or example; vary is the place of the one number to change, s
design_runDesigns a run: from a target end state to the loads of each segment that reach it, computed by the engine with no randomness, so the same request gives the same bits. request is a run_trajectory request; its numbers at the places vary names are the start, and vary gives each load
verify_stepComputes one anchored step of one card, as compute_step does: verify_step is the earlier name of compute_step, served for this one version beside it, and takes the same arguments and gives the same answer, byte for byte. The name compute_step is the one that stays. On this open c
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리에 소스 저장소가 없어서, 게시자(zerotrustphysics.com)와 코드를 맞춰 볼 수 없어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
567ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 18개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 2개를 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(0.15.3)은 5일 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, MemberVault MCP by usefulapi
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.
List courses; add users to courses, remove course access or delete users in MemberVault.
저장소에서 README를 찾지 못했어요