Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Point-in-time, survivorship-free SEC EDGAR fundamentals + smart-money signals for AI agents.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://mcp.valuein.biz/mcpEjecuta esto en tu terminal
claude mcp add --transport http sec-edgar https://mcp.valuein.biz/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"sec-edgar": {
"url": "https://mcp.valuein.biz/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"sec-edgar": {
"type": "http",
"url": "https://mcp.valuein.biz/mcp"
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
ChatGPT solo se conecta a servidores en internet:
https://mcp.valuein.biz/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub valuein, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Respondió en 1218 ms (HTTP 200)
No hace falta iniciar sesión
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 2 de 2 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (3.16.8) llegó al registro hoy.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Detailing Manager
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo