Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
Valuein — SEC EDGAR Fundamentals & Smart-Money Data
Overview
Description from the maker (original English)
Point-in-time, survivorship-free SEC EDGAR fundamentals + smart-money signals for AI agents.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi2 of 2 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 2 of 2 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://mcp.valuein.biz/mcpRun this in your terminal
claude mcp add --transport http sec-edgar https://mcp.valuein.biz/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sec-edgar": {
"url": "https://mcp.valuein.biz/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"sec-edgar": {
"type": "http",
"url": "https://mcp.valuein.biz/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://mcp.valuein.biz/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
We have not read this server’s tool list yet; we check endpoints in rotation.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account valuein, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- ✓ Pass
Endpoint responds
Responded in 438 ms (HTTP 200)
- – Not applicable
Sign-in with OAuth
No sign-in needed
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Otheri
- More stars than 0% of the other 32684 servers in this category
- Published to the registry more recently than 100% of the other 32684 servers in this category
- Basic checks equal to or better than 100% of the other 32684 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Valuein — SEC EDGAR Fundamentals & Smart-Money Data safe?
It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (3.17.0) reached the registry today.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Master CSS
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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Master CSS
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Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Valuein — SEC EDGAR fundamentals for analysts, quants, and AI agents
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 codeor add this URL to any MCP-capable AI client:
https://mcp.valuein.biz/mcp # data for agents
What's in here
| 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 |
The data product
Survivorship-bias-free, point-in-time US fundamentals sourced directly from SEC EDGAR.
- Every SEC-reporting US public company since 1993 — 10-K, 10-Q, 8-K, 20-F, 40-F, and amendments, for active and delisted companies alike: every bankruptcy, merger, and delisting stays in
- Raw XBRL tags normalized to canonical `standard_concept` names plus materialized financial ratios (FY + TTM); unmapped tags are exposed under
'Other'rather than dropped - Parquet tables — fundamentals, ratios, index membership, restatement events, price history with a total-return index, plus the smart-money and Form ADV adviser tables on the Institutional tier
- Cloud Parquet on Cloudflare R2 — stream with DuckDB; no database setup, no local downloads
- PIT-correct — every fact carries
filing_dateand millisecond-precisionaccepted_at
Counts 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.
Why it's different
| 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. |
Built for AI agents
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.
Distribution channels
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.
Plans & access
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.
How you pay: three parts, no run limits
Subscribe for the data. Pay only for the AI you use.
- Subscription = data. Your plan sets how much of the market you can see (companies, years of history, filing types, datasets), plus API rate limits, daily bulk downloads, webhooks, licence and support. Plans: Sample, Benchmark, Pro, Institutional, Enterprise.
- Balance = AI work. One balance pays for Valuein AI chat, agent runs and coverage reads. There are no run limits and no per-run fee: a run costs only the AI compute it uses. Every plan includes a monthly compute allowance, and new accounts start with a welcome credit. Using your own Anthropic or OpenAI key costs nothing on our side.
- Pay per call = AI agents without an account. An agent can pay per request by card (below).
Pay-per-call (MPP)
Autonomous AI agents that hit a rate or tier limit can pay per reque
Only the beginning is shown; read the rest in the repo