Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Point-in-time, survivorship-free SEC EDGAR fundamentals + smart-money signals for AI agents.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://mcp.valuein.biz/mcpFühre das in deinem Terminal aus
claude mcp add --transport http sec-edgar https://mcp.valuein.biz/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"sec-edgar": {
"url": "https://mcp.valuein.biz/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"sec-edgar": {
"type": "http",
"url": "https://mcp.valuein.biz/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://mcp.valuein.biz/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto valuein bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Antwort in 1218 ms (HTTP 200)
Keine Anmeldung nötig
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 2 von 2 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (3.16.9) kam heute in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Rystic
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Start, seed, clock, inspect and diff Rystic API simulators from your agent.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
Nur der Anfang wird gezeigt; den Rest findest du im Repo