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PopNx MCPMCP servers for people who use AI · explained in plain words

QuantGPT

by quantgptcoversion 1.0.1i★ –iRuns in the cloud
Registry nameco.quantgpt/mcp

Install

Overview

Description from the maker (original English)

The data and trading platform for AI: decades of US market data, backtests in seconds.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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: Accounting, finance & tax
  • You need to fill in: X-API-Key

Install

Pick the AI app you use, then copy the settings.

Before you install

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http quantgpt https://terminal.quantgpt.co/mcp --header 'X-API-Key: your-value'

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "quantgpt": {
      "url": "https://terminal.quantgpt.co/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "quantgpt": {
      "type": "http",
      "url": "https://terminal.quantgpt.co/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

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.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • X-API-Key secret HTTP header
    Optional. A QuantGPT key (qg_sk_...) from your account page at terminal.quantgpt.co/account. Leave it empty to sign in with OAuth instead.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain quantgpt.co (the registry checks domain ownership)

  • … 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

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … 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 Accounting, finance & taxi

  • More stars than 0% of the other 1720 servers in this category
  • Published to the registry more recently than 62% of the other 1720 servers in this category
  • Basic checks equal to or better than 100% of the other 1720 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 QuantGPT safe?

It passed 1 of 1 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?

You need to fill in: X-API-Key

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 (1.0.1) reached the registry 24 days ago.

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: Finance Toolkit, SolidInvoice, Korea Tax Calculator

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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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.

QuantGPT (quantgpt.co)

QuantGPT (quantgpt.co) is the data and trading platform for AI. This is the official repository of QuantGPT LLC.

Not affiliated with other GitHub projects named QuantGPT. The product, its hosted MCP server and this repository are QuantGPT by QuantGPT LLC, at https://quantgpt.co.

The data and trading platform for AI: decades of US market data, backtests in seconds.

Claude and ChatGPT connect over MCP to decades of US market data, and backtests run in seconds on QuantGPT Cloud. On QuantGPT Pro, your own strategy runs there too and trades in your own brokerage account. Start with a 3-day free trial of QuantGPT or QuantGPT Pro, cancel any time.

Serverhttps://terminal.quantgpt.co/mcp
TransportStreamable HTTP, JSON-RPC 2.0 over POST, stateless
Sign-inOAuth 2.1 (dynamic client registration, PKCE S256), or a key in a header
Works withClaude, ChatGPT, Gemini, Cursor, Claude Code and any MCP client
PlansQuantGPT $49 a month, QuantGPT Pro $149 a month, each with a 3-day free trial
Websitehttps://quantgpt.co
Registry nameco.quantgpt/mcp
Made byQuantGPT LLC, Tampa, Florida
Official accountshttps://x.com/quantgptco, https://www.reddit.com/r/QuantGPT, https://github.com/quantgptco

Updated October 2026. This repository holds no server code. It is the public listing for the hosted server: how to connect each client, what every tool does, example prompts, plans and limits.

What your AI can do with it

  • Backtest any idea in seconds. Describe a strategy in plain words; your AI turns it into criteria (up to 8 filters, a rank, a holding count) and runs it walk-forward against a benchmark on decades of US market data, with a cost model and a decade-by-decade table. Up to 100 variants run in one call.
  • Grade any US stock. A+ to F on six dimensions against the whole market, point in time, with the drivers, the peers and a chart pack. Up to 25 tickers in one call, or the leaderboard for a sector.
  • Query the data itself. Prices, total returns, fundamentals joined by filing date, 74 backtest factors, FRED macro, insider filings and short interest, through ready-made calls or read-only SQL over the whole warehouse.
  • Start from the literature. 175 documented strategies from papers, books and practitioners, 53 of them runnable in one call.
  • Work on a portfolio. A frontier over your tickers, a review of your holdings, the trade list from your criteria to the book they imply today, paper books marked nightly, and alerts when a name enters or leaves a screen.
  • Go past US stocks. Macro regimes, commodity spot series, weather studies, crypto with funding rates, memecoins and the 24/7 stock tape. Prediction markets are coming soon.
  • Chart and cite. Branded charts with the numbers that drew them, and search and fetch so ChatGPT deep research can cite the library, the studies and the forum.
  • Run your own strategy on QuantGPT Pro. QuantGPT Cloud hosts your strategy as your own code, on your schedule, and it trades in your own brokerage account under your keys. You set it up in the terminal; no MCP tool places an order.

Contents

  1. Connect your AI
  2. What your AI can call
  3. Strategies you can ask about
  4. Plans and limits
  5. What the data is, and is not
  6. Disclaimer

Connect your AI

Claude, ChatGPT and the Gemini app sign in to QuantGPT through OAuth: no key to paste. The connection lands on your account page as a key labelled with the client's name, and you can revoke it there. Claude Code, Gemini CLI, Cursor and any other client below use a key.

Get a key
  1. Sign in at https://terminal.quantgpt.co (new here? start a 3-day free trial).
  2. Open your account page. Under Keys for your AI, type a label and press Issue key.
  3. Copy the qg_sk_... value now. Only its hash is stored, so it is shown once.
Claude (claude.ai and Claude Desktop)
  1. Customize > Connectors, then + > Add custom connector (on Team or Enterprise an Owner may need to add it first).
  2. Name it QuantGPT, paste https://terminal.quantgpt.co/mcp, leave the OAuth client fields empty, and click Add.
  3. Press Connect. Claude opens QuantGPT's sign-in page: sign in and approve. The connection shows on your account page as connector: Claude.

Guide on quantgpt.co: https://quantgpt.co/learn/connect-claude.html

Claude Code
claude mcp add --transport http quantgpt https://terminal.quantgpt.co/mcp --header "Authorization: Bearer qg_sk_YOUR_KEY"

Add --scope user to have it in every project. Then ask Claude Code to call describe_capabilities.

ChatGPT
  1. In ChatGPT, Settings > Security and login > turn on Developer mode. OpenAI offers it on Plus, Pro, Business, Enterprise and Education accounts, on the web.
  2. Go to chatgpt.com/plugins and select the plus button. Name the app QuantGPT and, under Connection, enter https://terminal.quantgpt.co/mcp.
  3. ChatGPT registers itself and sends you to QuantGPT's sign-in, now or on its first call. Sign in and press CONNECT; there is no key to paste. The connection shows on your account page as connector: plus the name ChatGPT registered. In a chat, choose Developer mode from the + menu and select QuantGPT.

On a Business, Enterprise or Education workspace, developer mode can depend on the workspace's policy, so an admin may have to allow it first. ChatGPT deep research works through a connector's search and fetch tools; QuantGPT ships both, so deep research can search the library, the studies and the forum and cite what it used.

Guide on quantgpt.co: https://quantgpt.co/learn/connect-chatgpt

Gemini

Gemini CLI, with a key:

gemini mcp add -s user --transport http --header "Authorization: Bearer qg_sk_YOUR_KEY" quantgpt https://terminal.quantgpt.co/mcp

-s user saves it in ~/.gemini/settings.json in your home folder. Without it, Gemini CLI saves to the current project's .gemini/settings.json, where a key can end up in a git repository.

Or add it to ~/.gemini/settings.json (every project) or .gemini/settings.json (one project):

{

"mcpServers": { "quantgpt": { "httpUrl": "https://terminal.quantgpt.co/mcp", "headers": { "Authorization": "Bearer qg_sk_YOUR_KEY" } } } }

Run /mcp inside Gemini CLI to see the server and its tools.

The Gemini app: at gemini.google.com open Settings > Connected Apps, and under Custom apps choose Add a custom app. Paste https://terminal.quantgpt.co/mcp, then sign in to QuantGPT. Google decides who can add custom apps (in September 2026: 18 or over, in the US, signed in with a personal Google Account, Keep Activity on, set up in the web app): https://support.google.com/gemini/answer/17209137

Guide on quantgpt.co: https://quantgpt.co/learn/connect-gemini

Cursor

In .cursor/mcp.json (one project) or ~/.cursor/mcp.json (every project):

{

"mcpServers": { "quantgpt": { "url": "https://terminal.quantgpt.co/mcp", "headers": { "Authorization": "Bearer ${env:QUANTGPT_KEY}" } } } }

Set QUANTGPT_KEY to your qg_sk_... key in the environment Cursor starts from, so the key never sits in the file.

Guide on quantgpt.co: https://quantgpt.co/learn/connect-cursor

Any other MCP client
URL:   https://terminal.quantgpt.co/mcp

Auth: Authorization: Bearer qg_sk_YOUR_KEY (X-API-Key: qg_sk_YOUR_KEY is also accepted) Type: Streamable HTTP, JSON-RPC 2.0, stateless

A request without a valid key gets 401 and a WWW-Authenticate header that points OAuth clients to https://terminal.quantgpt.co/.well-known/oauth-protected-resource.

No connector option on your plan? The setup prompt at https://terminal.quantgpt.co/pastepack.txt gives any chat AI the same context in one block you paste, without MCP. Signed-in members find the Claude and ChatGPT steps, this address and the prompt library at https://terminal.quantgpt.co/connect.

Your first call

Ask your AI to call describe_capabilities: it returns the whole map (every factor, operator, benchmark, library category and methodology rule). On connect the server lists 14 core tools (15 once pre_trade_brief opens) and 5 discovery tools; the other 57 sit in seven categories. If your AI asks where the market stands, market_snapshot answers in one call. Your AI calls available_categories, then activate_category, to list a category for your key, or runs any tool by name through call_tool. With a key-based client you can add ?tools=all to the URL to list every tool at once.

What your AI can call

77 tools, 69 of them switched on today; the 8 marked (coming soon) answer with a coming-soon note until they open. None of them places, modifies or cancels an order at any broker. A few write to your own QuantGPT account: saved studies, paper books, sealed books, alerts, event rules and the panels on your terminal.

Listed on connect (15)
ToolWhat it does
searchSearches QuantGPT's own record (library strategies, studies, forum threads, your saved studies, the glossary) and returns citable results with ids and URLs.
fetchFetches one of those records in full by the id search returned.
describe_capabilitiesThe full machine-readable map: factors, operators, benchmarks, timing rules, library categories, methodology. Call it first.
guideThe onboarding curriculum (THE RAMP), taught one step at a time.
market_snapshotThe state of the market in one read-only call: the major indexes against their 50 and 200-day averages, S&P 500 breadth, sectors, Treasury yields and credit spreads, VIX, Fed liquidity and crypto, each value with its source and as-of date. Never a forecast.
get_prompt_library34 ready prompts, each mapped to the tools that answer it.
search_librarySearches the 175 documented strategies by keyword; each result says whether it is runnable.
grade_stockGrades one ticker A+ to F on six dimensions against the whole universe, point in time, with a chart pack.
run_backtestBacktests any criteria (up to 8 filters, a rank, top N equal weight; monthly, weekly or daily formation) walk-forward against a benchmark, with a cost model and a decade table.
run_sweepUp to 100 criteria variants in one call, returned as a ranked comparison table.
challenge_findingThe skeptic pass: eleven checks that try to break a finding, strongest objection first.
fetch_jobCollects a long-running job (a backtest, regression or skeptic pass) by its job id.
pre_trade_brief(coming soon, not listed until it opens) A ticker's grade, whether it passes your criteria today, the criteria's finding with the skeptic pass, and what your past findings did next. Findings, not orders.
query_warehouseRead-only SQL (DuckDB) over every research database: SELECT, WITH, DESCRIBE and SHOW only, 5,000-row cap, 45-second timeout.
list_warehouseThe map of every database and table query_warehouse can read.
Discovery (5)
ToolWhat it does
available_categoriesThe categories this key can switch on, with counts and what is active now.
available_toolsNames, descriptions and input schemas of the tools in a category.
activate_categoryAdds categories to this key's tool list, remembered across sessions.
deactivate_categoryRemoves categories from this key's tool list.
call_toolRuns any tool by name, listed or not.
Equities: category equities (21)
ToolWhat it does
run_screenToday's tickers matching your criteria, in the same vocabulary as run_backtest: the output of your criteria, never a recommendation.

| top_graded | The letter-grade leader

Only the beginning is shown; read the rest in the repo

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