Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Read your AI-written daily briefing and retune the filter behind it: feeds, newsletters, topics.
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.
PROOFITE_API_KEY, Authorization비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"proofite": {
"command": "npx",
"args": [
"-y",
"proofite-mcp"
],
"env": {
"PROOFITE_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http proofite https://proofite.com/mcp --header 'Authorization: your-value'claude mcp add proofite --env PROOFITE_API_KEY=your-value -- npx -y proofite-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"proofite": {
"url": "https://proofite.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"proofite": {
"command": "npx",
"args": [
"-y",
"proofite-mcp"
],
"env": {
"PROOFITE_API_KEY": "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": {
"proofite": {
"type": "http",
"url": "https://proofite.com/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"proofite": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"proofite-mcp"
],
"env": {
"PROOFITE_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 필수 HTTP header이 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 6일 점검
레지스트리 이름이 도메인 proofite.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
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.
입력해야 할 값: PROOFITE_API_KEY, Authorization
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.2.0)은 31일 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, Recta
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.
Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Give your AI assistant the keys to your information diet.
Proofite turns the sources you choose — newsletters, RSS feeds, monitored web searches, saved links — into one personal briefing every morning, written by AI and available as a podcast. This MCP server lets any agent read that briefing and, more importantly, retune the filter behind it: what gets in, how deep, how technical, how often, and what never appears again.
It is the same server the product uses for its own voice mode, so it is not a demo surface: it is how Proofite is driven.
you → "too much crypto this week, and go deeper on the EU regulation"
agent → correct_briefing(note: "…") → topic weights adjusted, depth raised, deep dive queued → tomorrow's briefing is different
Remote (recommended). Streamable HTTP, no install. Create a key in Proofite under Settings → Connections, then:
claude mcp add --transport http proofite https://proofite.com/mcp \
--header "Authorization: Bearer pfk_live_…"
Or in any client that reads a JSON config:
{
"mcpServers": { "proofite": { "type": "http", "url": "https://proofite.com/mcp", "headers": { "Authorization": "Bearer pfk_live_…" } } } }
stdio bridge, for clients that do not speak HTTP yet:
{
"mcpServers": { "proofite": { "command": "npx", "args": ["-y", "proofite-mcp"], "env": { "PROOFITE_API_KEY": "pfk_live_…" } } } }
| Tool | What it does | |
|---|---|---|
get_briefing | read | Read the user's personal AI-written news briefing (daily digest) in full markdown: every story selected today from their newsletters, RSS feeds and monitored web searches, with sources. Returns the latest briefing by default, or a specific one by id or date. Also returns an index of entry ids, needed to rate or correct individual stories. |
list_briefings | read | List the user's past daily briefings (most recent first) with date, title, number of stories and whether an episode exists. Use it to find the id of a specific day before reading or correcting it. |
get_information_diet | read | Read everything that shapes what reaches this person: delivery schedule, length, technicality, depth, stance and tone, stated interests and no-go topics, the profile the system has learned about them, and the per-topic preferences built from their feedback (affinity, muted, followed). This is the full picture of their news filter — read it before changing anything. |
list_sources | read | List the topic inboxes this person feeds their briefing with: each one has a dedicated email address for newsletter subscriptions, plus RSS feeds and monitored web searches. Shows how much each produced recently, its priority and whether it is included in the briefing. |
get_source | read | Inspect one topic inbox in detail: every RSS feed (with its health and last fetch), every monitored web search, X/Twitter profiles, and the newsletters currently arriving at its dedicated address. Use it before removing or reorganising anything. |
get_podcast_episode | read | Get the audio episode generated from a briefing: a private podcast narrated in the user's language, with a playable URL and the show notes listing every source. Returns the latest episode by default. |
list_read_later | read | List what is queued in the read-later inbox: links and forwarded emails that are guaranteed to be covered in the next briefing. |
list_deep_dives | read | List the deep-dive research requests waiting to be covered: topics the user asked the briefing to investigate with fresh web research. |
get_account | read | Account status: plan, whether the briefing is currently running, when the next one is due, how many sources and stories are in the system, and the AI cost accrued this month. |
update_information_diet | write | Change how and when the briefing reaches this person: delivery time and days, length, technicality, depth, stance, tone, stated interests and topics to avoid, language, timezone, podcast and email delivery. Pass only the keys you want to change. Read get_information_diet first — these are global settings, not per-topic ones (for a single topic use tune_topic). |
tune_topic | write | Tune how a single topic is treated in future briefings: more or less of it, more or less technical, deeper or shorter, more or less often, muted entirely, or followed so every development gets reported. This is the precise instrument — for a vague comment like "too much crypto lately" use correct_briefing instead. |
correct_briefing | write | Tell the briefing what was wrong with it, in plain language — "too much crypto and not enough on the EU regulation", "keep it shorter", "explain the technical parts more simply", "follow this story". An AI editor reads the note against the actual briefing and turns it into concrete adjustments: topic preferences, settings, deep-dive requests. This is the main way a person retunes their news feed by talking. |
rate_briefing_entry | write | Give a precise up/down signal on one story of a briefing: more like this, less like this, more technical, simpler, deeper, shorter, follow it, or mute its topics. Applies to the topics of that story, so the next briefing weighs them differently. |
set_learned_profile | write | Read or rewrite the free-text profile the briefing uses to know who this person is — their work, projects, recurring interests, what they already know. Appending is usually better than replacing: pass mode "append" to add a line. |
request_deep_dive | write | Ask the next briefing to investigate a topic properly, with fresh web research: it will include a mini-dossier with sources. Use it whenever the person says "I want to know more about X" or "keep digging on this". |
save_for_later | write | Put a link or a note into the read-later queue: whatever lands there is guaranteed to be covered in the next briefing. The page is fetched and its text stored, so it can be summarised even if the site later blocks access. |
generate_briefing | write | Generate a briefing immediately instead of waiting for the scheduled time, using everything collected so far. Costs real AI money and takes a couple of minutes, so use it only when explicitly asked. Returns the id to poll with get_briefing. |
create_source | write | Create a new topic inbox: a themed container with its own dedicated email address (subscribe newsletters to it), which can hold RSS feeds and monitored web searches. This is how you add a whole new subject to someone's information diet. |
update_source | write | Change a topic inbox: rename it, change its description, raise or lower its priority in the briefing, set a per-inbox technicality level, temporarily exclude it from the briefing or pause it entirely. |
delete_source | write | Permanently delete a topic inbox with all its feeds, searches and collected content. Irreversible: the dedicated email address stops working too. Prefer update_source with is_active false when in doubt. |
add_feed | write | Add an RSS/Atom feed to a topic inbox. You can pass the site address instead of the feed URL — the server fetches the page and discovers the feed. If it fails, the reason is precise (blocked by the site, gone, unreadable) so it can be reported honestly. |
remove_feed | write | Remove an RSS feed from a topic inbox. Already-collected content stays; nothing new arrives from it. |
add_web_search | write | Monitor a Google query every day and feed the results into a topic inbox: the standing-search way to follow a company, a person, a law or a niche subject that has no RSS feed. kind "news" watches the news index, "search" the whole web. |
remove_web_search | write | Stop monitoring a standing web search: no new results from that query will reach the briefing. What it already collected stays where it is. |
discover_sources | read | Describe a subject in plain words and get back real, working sources for it: RSS feeds validated live by the server (dead ones are dropped before you see them), web searches worth monitoring, and newsletters worth subscribing to. Nothing is added — it returns proposals to pass to add_feed / add_web_search. |
import_opml | write | Import subscriptions from another RSS reader (Feedly, Inoreader, FreshRSS, NetNewsWire) by passing the OPML file contents. Set dry_run true first to see what is in it and what is already present; then run it for real to add them (they are validated one by one, and the ones that fail come back with the reason). |
unsubscribe_newsletter | write | Unsubscribe from a newsletter arriving in one of the inboxes. When the sender supports one-click unsubscribe the server does it directly; otherwise it returns the URL a human has to open, and says so honestly. |
It also exposes resources (proofite://briefing/latest, proofite://diet, proofite://sources) and two prompts (tune-my-feed, catch-me-up).
2026-07-28 revision (stateless, per-request _meta, mirrored Mcp-Method / Mcp-Name headers, server/discover) *and* the older initialize handshake used by most clients today — it detects which era you speak from your first request.A Proofite account — free trial, no card. The briefing, the podcast and this server are the same product seen from three sides.
https://proofite.com/.well-known/mcp.json — machine-readable manifestMIT © Nicola Moretti mcp-name: com.proofite/proofite