Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Get calibrated yes or no answers, choices and scores from TypeSafe's Jev, for one item or 1000 rows.
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.
TYPESAFE_API_KEY_FILE필요한 것
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": {
"typesafe": {
"command": "npx",
"args": [
"-y",
"@foreverworks/mcp-typesafe"
],
"env": {
"TYPESAFE_API_KEY_FILE": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add typesafe --env TYPESAFE_API_KEY_FILE=your-value -- npx -y @foreverworks/mcp-typesafe실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"typesafe": {
"command": "npx",
"args": [
"-y",
"@foreverworks/mcp-typesafe"
],
"env": {
"TYPESAFE_API_KEY_FILE": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"typesafe": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@foreverworks/mcp-typesafe"
],
"env": {
"TYPESAFE_API_KEY_FILE": "your-value"
}
}
}
}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.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 foreverworks.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
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.
입력해야 할 값: TYPESAFE_API_KEY_FILE
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.2)은 3일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, dotnet-mcp
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.
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Ask TypeSafe's Jev for typed, calibrated judgments from your AI assistant: how likely a yes/no statement is to hold, which of your options fits, or where something sits on your own scale. Put the same questions to one state or to up to 1000 rows at once, so the assistant can triage postings, transactions or emails without reading each one. Every tool is a read: nothing changes anywhere, and no tool is money.
You need a TypeSafe account and an API key from its console. Calls are billed by input tokens, a fraction of a cent each, and Jev answers in about half a second.
With Claude Code:
claude mcp add typesafe -e TYPESAFE_API_KEY_FILE="<path to API key file>" -- npx -y @foreverworks/mcp-typesafe
Claude Desktop (Settings, Developer, Edit Config) and most other clients read the same command as JSON:
{
"mcpServers": { "typesafe": { "command": "npx", "args": ["-y", "@foreverworks/mcp-typesafe"], "env": { "TYPESAFE_API_KEY_FILE": " " } } } }
Each runs the published package on Node 22.19 or newer. VS Code and the Claude Desktop bundle ask for TYPESAFE_API_KEY_FILE as they add the server. Cursor reads it from your environment instead (${env:TYPESAFE_API_KEY_FILE}), so set it before you start Cursor. Configuration says what it holds.
git clone https://github.com/foreverworks/mcps.git && cd mcps
npm ci && npm run build claude mcp add typesafe -e TYPESAFE_API_KEY_FILE=" " -- node "$PWD/servers/typesafe/dist/index.js"
In a JSON configuration, the command is node and its one argument the full path of servers/typesafe/dist/index.js. To share one running copy between several clients over HTTP, see docs/deploying.md.
| Variable | Required | Meaning |
|---|---|---|
TYPESAFE_API_KEY_FILE | yes | File holding the API key. For a local run, TYPESAFE_API_KEY may hold the key itself instead. |
TYPESAFE_MODEL | no | The model a call uses when it names none. Default jev-latest, which tracks the newest Jev. |
TYPESAFE_BASE_URL | no | Default https://api.typesafe.ai. |
TYPESAFE_OUTBOX_DIR | no | Where ask_batch with save writes its JSONL. Default outbox/ in the state folder. Files are written 0640, so a deployment can share the folder with the user's group. |
TYPESAFE_STATE_DIR | no | The state folder; the default is in docs/configuration.md. |
Without a key the server still starts and lists its tools, and each call answers a config error naming the variable. ask_batch reads an items_file from MCP_FILE_ROOTS; that and the other variables every server shares are in docs/configuration.md.
TYPESAFE_API_KEY_FILE at that file.Give each deployment its own key, so you can revoke one alone and tell them apart on the console's usage page. Only a key from TypeSafe's own console works; a reseller's key works only through the reseller's gateway.
Ask your assistant to run TypeSafe's health check. It answers with the API it talks to, the default model, and the models your key reaches. A missing key shows up here as config, a refused one as auth, before any batch starts.
read changes nothing; every tool here is a read (billing by input tokens is metering, not a payment).
| Tool | Access | What it does |
|---|---|---|
health | read | Whether the key is present and accepted, and which models it reaches. |
ask | read | Every question about one state in one round trip; the answers as TypeSafe returns them, less a Score's legend. |
ask_batch | read | The same questions over up to 1000 states, typed in or from a file, 8 in flight by default: a summary per question and compact rows, with save the full rows as JSONL in the outbox. Optional act, review or abstain verdicts from your thresholds, and where, top and counts to list only the rows that matter. |
A question is a noul (the probability that a yes/no statement holds), a choice (one of 2 to 255 options, with a probability for each) or a score (the state placed on 2 to 10 levels you order from lowest to highest).
`config`. No key: set TYPESAFE_API_KEY_FILE to a file holding a key from console.typesafe.ai/keys, or TYPESAFE_API_KEY for a local run.
`auth`. TypeSafe refused the key. Check it still exists at console.typesafe.ai/keys, and replace the file if it was revoked.
`input`. The question cannot be answered as asked; the message names the field (a choice needs at least two options, a score 2 to 10 levels). Above 20 rows, every row needs an id.
`rate_limited`. TypeSafe is still throttling or overloaded after the server's own retries. Wait a minute, or send the batch with a lower concurrency.
`api`. Any other refusal, a 5xx that outlived its retries, or no connection (status 0). Retry once; if it persists, run health and read the server's log.
`drift`. TypeSafe answered in a shape this server does not know (its SDK's types may have moved on). Please report it.
The network. An evaluation has no side effect, so every request (POST /v1/systemone, GET /v1/models) may repeat: a 5xx or a dropped connection is tried again, and a 429 or 529 ("overloaded") waits as a rate limit, as TypeSafe's SDK does. A call times out after a minute. Every answer is checked against the SDK's types (@typesafe-ai/sdk, types only, in src/domain/schema.ts).
Batches. A batch goes on past a failed row and reports it, but stops at a failure that would fail every row (no key, a refused key), so a thousand rows do not each earn a 401. Answers join their rows by id, required above 20 rows: a position is only safe to join on while you can check the rows by eye.
Rows from a file. Instead of typing rows into items, pass items_file: JSONL with one {"id", "state"} object per line, or a JSON array of them, by path inside MCP_FILE_ROOTS (or as content_base64 with its sha256, from a script). The rows never pass through a model, so they cannot change on the way; a malformed row fails the call with its line number before anything is sent. The reply names the file's sha256 and size.
Verdicts. With thresholds for a question, each row's answer gets act (sure enough to act on), review (a person should look) or abstain (do not use it), from the answer's certainty: for a noul |p - 0.5| x 2 (p 0.95 and p 0.05 are both 0.9), for a choice or a score the confidence TypeSafe returns. The certainty is rounded down to three places, the number the row shows, and must be strictly above act_above to act and above review_above to be reviewed. Once thresholds are tuned, pin model to a versioned Jev: jev-latest can move under them.
Choosing rows. where lists only the answered rows meeting every condition you give per question: true or false for a noul (a yes is p >= 0.7, a no p <= 0.3, as the summary counts them), labels for a choice, min and max on the value a row shows, and verdict. top keeps the k rows with the highest p or score for one question, and counts tallies the answers of the rows where kept; the summary still covers every row. Every condition is checked before a request is sent, so a label that is not an option fails the call, not a thousand rows.
npx tsx scripts/smoke.ts drives the built server against the real API, for a few thousand input tokens: health, one ask per question type, a five-row batch saved to the outbox, and one input failure that never reaches TypeSafe.
thresholds does it per question).list says otherwise. For a large batch, pass list: "none" or "failed" with save, and read the JSONL.Searched 2026-10-15. TypeSafe publishes none: its GitHub organisation has the SDKs, agent skills and an n8n node. Two community servers are on npm:
evaluate tool.This one exists for what neither offers: it also runs over HTTP as a service of its own, with its key in a file the calling client never reads; it saves a batch's full answers as JSONL in an outbox and names the file's SHA-256; and it follows the conventions every server in this repository shares. Its verdicts and its where, top and counts follow typesafe-mcp's, with thresholds set per question rather than per call.