Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Verified NFL stats and Sleeper league context. Every figure carries its own source rank.
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://muffed.ai/api/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http muffed https://muffed.ai/api/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"muffed": {
"url": "https://muffed.ai/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": {
"muffed": {
"type": "http",
"url": "https://muffed.ai/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://muffed.ai/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 6일 점검
레지스트리 이름이 도메인 muffed.ai 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.
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(1.0.3)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, SSTracker free youth training
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.
Free youth sports drills, practice plans and age-group answers for parents and coaches.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Verified NFL stats and Sleeper league context, callable from ChatGPT, Claude, Claude Code, Cursor, or any MCP-compatible client.
https://muffed.ai/api/mcp
Free. No account, no API key, no OAuth. Read-only.
Full documentation: [https://muffed.ai/mcp](https://muffed.ai/mcp)
An AI asked a football question today either answers from whenever its training stopped, or finds a blog post. It cannot realistically download ten seasons of play-by-play and run a rushing-yards-over-expected model.
Muffed already did that. This server makes the result callable.
Every figure comes back with the rank its source gave it and the population it was ranked against, so a claim arrives as *"358.16 rushing yards over expectation, 1st of 49"* rather than as a number with nothing behind it. Each response also carries a complete, quotable sentence, its own attribution, and an as-of date.
Coverage: 520 verified metrics, 2016–2025 — EPA splits, CPOE, rushing yards over expectation, pressure and blitz rates, coverage splits, snap and target share, red zone and down-conversion rates, and more. Each metric reports the seasons it actually has.
Claude (web, desktop, mobile) — one click:
That opens the Add-custom-connector dialog with the name and URL already filled; you still review and confirm. By hand: Settings → Connectors → Add custom connector → paste https://muffed.ai/api/mcp. There is no sign-in step, because there is nothing to authorize.
Claude Code — install the plugin rather than the bare connector:
/plugin marketplace add cfagan17/muffed-mcp
/plugin install muffed@muffed
The plugin ships the endpoint *and* a skill that teaches the model how to handle what comes back: quote the pre-formed verified sentence instead of recomposing it, carry the attribution verbatim because the credit line is the licence, honour the Half-PPR and charting disclosures, never derive a rank from result ordering, and never turn verified context into a start/sit call. A bare connector gives a model the data; the plugin also gives it the discipline the data was published under. See skills/muffed-figures/SKILL.md.
Without the plugin:
claude mcp add --transport http muffed https://muffed.ai/api/mcp
ChatGPT — Settings → Connectors (or Developer mode) → add an MCP server → paste the same URL, no authentication.
Cursor, VS Code, other MCP clients
{
"mcpServers": { "muffed": { "type": "http", "url": "https://muffed.ai/api/mcp" } } }
| Tool | What it answers |
|---|---|
get_current_insights | What Muffed thinks is actually real about the NFL right now — verified, dated, with the evidence |
query_stat_leaders | League leaders on any verified metric, each with the rank its source gave it |
get_entity_metrics | Every verified figure Muffed holds for one player or team |
compare_entities | Two players or two teams side by side on the metrics both have |
get_metric_definition | What a metric measures, and which seasons it actually covers |
list_metrics | Which metrics can be asked about at all — keys and coverage, no figures |
verify_claim | Checks a stated figure against the verified panel and returns the real one if it disagrees |
get_backfield | Who backs up a starting running back — and in-season, who replaces an injured one |
run_stat_query | A figure computed on request — qualified superlatives, multi-season streaks, derived rates — returned with its method, population and data version, and labelled computed rather than verified |
sleeper_find_leagues | Your Sleeper leagues, from your username |
sleeper_get_league | Your league's setup — teams, scoring format, roster slots, managers |
sleeper_matchup_preview | Verified context on both sides of a matchup |
sleeper_roster_stories | Your roster's players and what's verified about each |
sleeper_standings_story | Where your league stands, derived from Sleeper's roster records |
Every tool is read-only. Nothing writes, and no tool returns anything about a Muffed user.
1 · The panel is a reshaping, never a computation. Figures are normalized from a gated verified layer. A build gate re-derives every row back to its source coordinate and fails the build on any drift, so a source refresh that moves a number breaks CI rather than a published sentence.
2 · Verify the query template, not the sentence. A handful of parameterized queries are the templates; every instantiation inherits the gate the sources already passed. There is no arbitrary-compute endpoint and there never will be — a tool that computes a novel number on request returns a figure no gate has seen, to a model that will round it, recombine it, and attribute the result.
3 · The server ranks, filters and rounds. The model never computes. Few rows, pre-sorted, rank and population already attached. Most "the AI got the stat wrong" failures are a model doing arithmetic on returned data.
Where the source had no unambiguous rank, no rank is returned at all rather than one derived from the result set's ordering.
Rushing yards over expectation exists from 2018, not 2016 — it is tracking-dependent and there is no pre-NGS version. Ask for a decade and the server returns the metric's real coverage instead of eight rows labelled as ten.
Every metric's registry entry carries the seasons it actually has, and get_metric_definition is how a model finds that out before making a claim.
verify_claimHand it a figure your AI has already stated:
{ "claims": [{ "metric": "rb_ryoe.rush_yards_over_expected",
"entity": "James Cook", "season": 2025, "value": 361 }] }
It comes back wrong, with the actual value (358.16), the source rank, and the attribution. Correct claims come back confirmed; a metric or season Muffed does not hold comes back unverifiable with the real coverage rather than a guess.
Structured input only — never a sentence. The caller does its own claim extraction on its own tokens; the server does a pure lookup.
No projections, no start/sit or lineup advice, no draft grades, no picks — in any tool, in any phrasing. Where a question calls for one, the tools return verified context and let you decide. That is a permanent position, not a v1 limitation.
No draft-market (ADP) data either. The sources for it are licensed to cite, not to redistribute; a page may quote a price with credit, but piping someone else's data into your AI is a different thing. Everything served here is data Muffed is licensed to build on.
No ESPN or Yahoo league support. Sleeper publishes a public read API, so loading a league needs no login. The alternative for the others would be screen-scraping or handling your credentials, and neither is going to happen.
No account, and nothing about you is stored. A league id is used to answer the request and cached briefly to be polite to Sleeper's API — never written to a database, never linked to you. A salted one-way hash of it is kept for 30 days to count roughly how many distinct leagues use the server. Sleeper usernames are not logged in any form.
Full policy: https://muffed.ai/privacy
Data via nflverse · NFL Next Gen Stats via nflverse · FTN Data via nflverse. League data via Sleeper's public API.
Every response carries its own attribution string verbatim — the credit line is the licence. Charting-derived figures cover the 2025 season only and are dated as such.
Muffed verifies the figures as returned, not analysis derived from them.
Issues on this repo, or .
Individuals, use it freely. If you are calling it at volume or building it into a product, get in touch first so it stays up for everyone. The underlying nflverse data is CC-BY and free — what Muffed adds is verification, structure, freshness, and the story layer.
This repo holds the server's public manifests, the Claude Code plugin, and the documentation. The server itself runs as part of muffed.ai, which is closed-source — the plugin is a pointer to the hosted endpoint plus the skill, not a copy of the server.
.claude-plugin/marketplace.json the marketplace `/plugin marketplace add` reads
.claude-plugin/plugin.json the plugin manifest .mcp.json the endpoint the plugin installs skills/muffed-figures/SKILL.md how to quote the figures correctly server.json MCP Registry manifest (ai.muffed/muffed) glama.json maintainer declaration for the Glama listing
Two separate listings, often confused: server.json is the MCP Registry entry, which is what generic MCP clients and directory crawlers read. The .claude-plugin/ files are the Claude Code plugin, which is what /plugin install reads. Bumping one does not bump the other.
MCP Registry (ai.muffed/muffed) · Glama · mcpservers.org