Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Point-in-time, survivorship-free SEC EDGAR fundamentals + smart-money signals for AI agents.
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.valuein.biz/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http sec-edgar https://mcp.valuein.biz/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"sec-edgar": {
"url": "https://mcp.valuein.biz/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": {
"sec-edgar": {
"type": "http",
"url": "https://mcp.valuein.biz/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.valuein.biz/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 7일 점검
레지스트리 이름이 GitHub 계정 valuein 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
438ms 만에 응답(HTTP 200)
로그인 필요 없음
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 2개 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(3.17.0)은 어제 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, Qemu 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.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Boot and drive QEMU VMs from an AI agent: keys, screenshots, serial. No guest agent.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Point-in-time, survivorship-free SEC fundamentals — built for AI agents, safe enough for institutions that fear AI. Every number is born in a filing and carries a
fact_id; the model never mints a digit. Streamed as Parquet, queried with DuckDB or natural language, reproducible run to run.
This repository is the public home and discovery hub for the Valuein data platform. It hosts the documentation, examples, notebooks, and the MCP registry manifest used by AI agents to find us. Source code for the SDK, MCP server, and data pipeline lives in dedicated repositories — this is the front door.
pip install "valuein-sdk>=7.1.0" # data for code
| You want to… | Go to |
|---|---|
| Try the SDK in 30 seconds without a token | Quickstart |
| See every channel we ship through | Distribution channels |
| Check pricing and what each plan unlocks | Plans & access |
| See why AI agents are first-class citizens here | Built for AI agents |
| Connect an AI agent (Claude, Copilot, ChatGPT, Cursor…) | MCP for AI agents |
| Set up the Workspace by role (analyst, PM, quant, creator) | docs/WORKSPACE_GUIDE.md |
| Read the data model | Data model |
| Find a quick recipe by role | Recipes by role |
| Run end-to-end Python examples | examples/python/ |
| Run interactive notebooks (Colab) | examples/notebooks/ |
| Read the methodology / SLA / compliance | Documentation |
| Report a data error or request a feature | Support & community |
| Contribute an example or notebook | CONTRIBUTING.md |
Survivorship-bias-free, point-in-time US fundamentals sourced directly from SEC EDGAR.
'Other' rather than droppedfiling_date and millisecond-precision accepted_atCounts move with every snapshot, so this page does not copy them; read them live. client.manifest() returns the snapshot id, last_updated and your plan's tables; curl -s https://data.valuein.biz/v1/sample/manifest.json | jq .schema_version prints the live schema version; https://data.valuein.biz/v1/plans gives each plan's universe size and history window; docs/data_catalog.md lists the canonical concepts and ratios.
| Property | What it means for you |
|---|---|
| 🕒 Point-in-time | filing_date <= trade_date removes look-ahead bias. accepted_at gives intraday resolution for same-day signals. |
| ⚖️ Survivorship-bias free | Delisted, bankrupt, and acquired companies remain in every snapshot — your backtest sees the universe the market saw. |
| 📊 Standardized concepts | Both the raw XBRL tag (fact.concept) and the canonical name (fact.standard_concept) are on every row. No hidden mapping table. |
| 🔍 CPA-verified catalog | Every standard_concept carries a review_confidence — 1.0 once an accountant has signed off on its name, statement and rule (then it's locked; the pipeline only ever adds new concepts, never mutates a verified one), 0.7 while provisional. Filter review_confidence >= 1.0 for the labels analysts, quants and AI models can agree on and train against. |
| 🚀 DuckDB-native | Millisecond analytics over remote Parquet via httpfs. Zero database provisioning. |
| 🔁 Append-only restatements | A 10-K/A adds a new row — the original stays. Reconstruct the as-reported view of any historical date. |
| 🧾 Measured, published accuracy | Mathematical consistency checked against published, cited accounting identities — CI-gated, and re-derivable yourself with one DuckDB command. The current measured figure lives in docs/accuracy/baseline.json. |
| 🔐 One token, every channel | The same Bearer token authenticates the SDK, MCP server, and bulk-data API. |
Valuein is MCP-first and agent-agnostic: the same typed tool surface works in Claude, Copilot, ChatGPT, Perplexity, Gemini, Grok, Cursor, or your own LangGraph / CrewAI agent. The design goal is simple — the model never mints a number. Numbers are born in tools, carried as provenance-tagged facts, and the model is only allowed to arrange words around figures it was handed.
| Guarantee | How it's enforced |
|---|---|
| Fact-level lineage | Every figure a tool returns carries a fact_id and its source filing; verify_fact_lineage round-trips any fact_id back to the exact SEC filing URL in one call. |
| Zero look-ahead | Every time-series tool accepts as_of_date and reconstructs the information set as of that date — the same PIT discipline the Parquet layer enforces for backtests. |
| Reproducible runs | Deterministic, idempotent tools: same inputs, same output. No rolling windows, no hidden "latest". Agents can cache, retry, and replay; you can reproduce a run later. |
| Agent-agnostic state | Theses, claims, watchlists, signals, and reports persist server-side across sessions *and across clients* — save a thesis from Claude today, list it from Cursor tomorrow. |
| Human-on-the-loop (HOTL) | Mutating and outward-facing tool actions go through a staged-action approval ledger: the agent proposes, a human approves, and the decision lands in an immutable audit entry. Read-only tools never stage. |
| Governed managed runs | Server-side managed agent runs execute at temperature 0 with a model allow-list and destructive-tool stripping — reproducible research, not improvisation. |
| Graded track records | Saved theses and claims are scored against subsequent fundamentals and prices; publishing builds a public, verifiable track record — your agent keeps score. |
The full tool reference is in docs/MCP_TOOLS.md; agent-facing runtime instructions are in AGENTS.md.
The same dataset, delivered four ways so it lands where you already work.
| Channel | Audience | Endpoint / install |
|---|---|---|
| Python SDK | Quants, engineers, data scientists | pip install valuein-sdk · PyPI |
| MCP server | AI agents (Claude, Copilot, ChatGPT, Cursor, custom) | https://mcp.valuein.biz/mcp · server.json |
| Web dashboard | Retail, executives, non-technical users | valuein.biz |
| Bulk data API | B2B partners, fintech platforms | https://data.valuein.biz · contact us |
A single Stripe-issued token unlocks every channel at your tier — no per-channel billing.
Pricing and feature scope are mirrored from valuein.biz/pricing — the website is the source of truth and our checkout flow routes to the correct Stripe product.
| Plan | Universe | History | Get it |
|---|---|---|---|
| Sample | Every S&P 500 member since 1996, former members included | 5 calendar years + YTD | Free, no signup: pip install "valuein-sdk>=7.1.0" |
| Benchmark | Every S&P 500 member since 1996, former members included | Full history | Free, register |
| Pro | Full active + delisted universe incl. foreign issuers (20-F, 40-F), fundamentals dataset | Rolling point-in-time window | Subscribe |
| Institutional | Same universe + smart-money dataset (insider transactions on Forms 3/4/5/144 + institutional ownership on Forms 13F/13D/13G) | Full history back to 1993 | Subscribe |
| Enterprise | Organisations and teams, by Enterprise Agreement: the whole dataset, multi-seat · display in your own products and client deliverables, with attribution, where the Order Form says so · dedicated infrastructure · negotiated scope | Custom | sales@valuein.biz |
Redistribution, resale and white-label are not part of any plan, Enterprise included: data vendors and platforms sign a separate Redistribution Licence (sales@valuein.biz).
Prices, universe sizes, history windows and rate limits are served live; read them instead of a copy:
curl -s https://data.valuein.biz/v1/plans \
| jq '.plans[] | {displayName, priceUsd, universeSize, earliestYear, perMinute, perHour}'
Each tier removes a *different* buyer objection — Pro removes the universe + history limits on the fundamentals dataset; Institutional adds the smart-money dataset (insider transactions + institutional ownership), unlimited history back to 1993, filing-event webhooks, and a single-seat internal-use licence (no redistribution); Enterprise is for organisations and teams: an Enterprise Agreement for multi-seat use and, where the Order Form says so, display in your own products and client deliverables with attribution, plus dedicated infrastructure, service levels and bespoke contracts. Redistribution, resale and white-label need a separate Redistribution Licence, which no plan includes.
Subscribe for the data. Pay only for the AI you use.
Autonomous AI agents that hit a rate or tier limit can pay per reque
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요