Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Computer or cloud
Price Data MCP
Overview
Description from the maker (original English)
Live market prices and candles for AI agents (200+ coins). Data only, no trading advice.
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 checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 82/wk · ★ –
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 on your computer
- Transport: stdio
- Category: Accounting, finance & tax
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- PyPIPython’s uv installed (for the uvx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"price-data": {
"command": "uvx",
"args": [
"hyperliquid-price-mcp"
]
}
}
}Run this in your terminal
claude mcp add price-data -- uvx hyperliquid-price-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"price-data": {
"command": "uvx",
"args": [
"hyperliquid-price-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": {
"price-data": {
"type": "stdio",
"command": "uvx",
"args": [
"hyperliquid-price-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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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
Runs on your computer; the tool list appears in your AI app after you install it.
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 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account wesseltl, 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
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Accounting, finance & taxi
- More stars than 0% of the other 2919 servers in this category
- Published to the registry more recently than 25% of the other 2919 servers in this category
- Basic checks equal to or better than 100% of the other 2919 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 Price Data MCP 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?
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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.3) reached the registry 3 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
SolidInvoice
Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.
Runs in the cloud✓ solidinvoice.co
Korea Tax Calculator
Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.
Runs on your computer
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.
price-data-mcp
Give your AI agent live market prices. An MCP server that lets an agent look up the current price, the full symbol list, and recent price history for 200+ coins.
An LLM's knowledge is frozen at training time, so it can't answer *"what's BTC trading at right now?"*. This closes that gap. It returns market data only. It never gives a trading signal or predicts direction.
What your agent can do with it
You: What's Bitcoin trading at, and how has it moved over the last few hours?
Agent *(calls
get_price("BTC")andget_candles("BTC", "1h", 6))*:
Bitcoin is at $65,047. Over the last 6 hours it's held between $65,020 and $65,132 on rising volume.
The agent fetches real numbers instead of guessing from stale training data.
Quickstart
pip install "hyperliquid-price-mcp[mcp]"Add it to your MCP client (e.g. Claude Desktop's config):
{"mcpServers": { "market-prices": { "command": "hyperliquid-price-mcp" } } }
Restart your client. The agent now has four tools.
The tools
| Tool | Returns |
|---|---|
get_price("BTC") | {"symbol": "BTC", "price": 65047.5, "as_of": 1786204330859} |
get_prices(["BTC","ETH"]) | current price for each, missing ones flagged |
list_symbols() | every symbol it can price (200+) |
get_candles("BTC","1h",100) | recent OHLCV history (1m … 1d) |
Example candle:
{"open_ms": 1786201200000, "open": 65104.0, "high": 65132.0,"low": 65020.0, "close": 65047.0, "volume": 409.43, "trades": 7014}
Also usable from plain Python
from price_data_mcp import pricesprices.get_price("BTC") # {'symbol': 'BTC', 'price': 65047.5, 'as_of': ...} prices.get_candles("ETH", "1h", 24) # last 24 hourly candles prices.list_symbols() # ['AAVE', 'ADA', 'APE', ...]
How it works
Prices come from the public Hyperliquid info API. The core fetching module (price_data_mcp/prices.py) uses the Python standard library only (no dependencies), so it's small and easy to audit. The mcp extra is only needed to run the server.
Tests
python -m unittest discover -s tests # network is mocked, runs fully offlineScope
A market-data source for agents. It reports prices and history. It does not give trading signals, predict where the price is going, or place orders.
License
MIT