Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Description from the maker (original English)
Bilingual financial news sentiment (English + Traditional Chinese) scored by Claude.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
PRAESENTIRE_API_KEYValues 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 …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"praesentire": {
"command": "npx",
"args": [
"-y",
"praesentire-mcp"
],
"env": {
"PRAESENTIRE_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add praesentire --env PRAESENTIRE_API_KEY=your-value -- npx -y praesentire-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"praesentire": {
"command": "npx",
"args": [
"-y",
"praesentire-mcp"
],
"env": {
"PRAESENTIRE_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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"praesentire": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"praesentire-mcp"
],
"env": {
"PRAESENTIRE_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 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.
Runs on your computer; the tool list appears in your AI app after you install it.
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 10, 2026
The registry name was verified with the GitHub account Etha0916, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: PRAESENTIRE_API_KEY
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).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator
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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
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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.
MCP server for Praesentire — bilingual financial news sentiment as a Claude tool.
Three tools, one API:
| Tool | What it does |
|---|---|
| `get_sentiment` | Aggregated -1 to +1 sentiment score + confidence + bull/bear distribution + latest 3 articles with rationale, for one ticker. |
| `get_sentiment_batch` | Same aggregates for up to 50 tickers in one call. Each ticker bills as one request. |
| `compare_languages` | English vs Traditional Chinese sentiment side-by-side + divergence score. Designed for cross-market arbitrage signals. |
Sources: Reuters, Bloomberg, Yahoo Finance, CNBC (English) + 經濟日報, 工商時報, Anue 鉅亨 (繁中). Updated every 10 minutes.
You need a Praesentire API key. Sign up free — 100 req/day forever, no credit card.
Add to .mcp.json in your project root:
{
"mcpServers": { "praesentire": { "command": "npx", "args": ["-y", "praesentire-mcp"], "env": { "PRAESENTIRE_API_KEY": "pr_your_key_here" } } } }
Then claude and ask: *"What's the sentiment on NVDA?"*
Edit your Claude Desktop config (%APPDATA%\Claude\claude_desktop_config.json on Windows, ~/Library/Application Support/Claude/claude_desktop_config.json on Mac):
{
"mcpServers": { "praesentire": { "command": "npx", "args": ["-y", "praesentire-mcp"], "env": { "PRAESENTIRE_API_KEY": "pr_your_key_here" } } } }
Restart Claude Desktop. The three tools will appear in the connectors list.
PRAESENTIRE_API_KEY=pr_your_key npx praesentire-mcp
Once installed, Claude can answer things like:
"What's the news sentiment on NVDA right now?"
→ Calls
get_sentiment("NVDA"), returns aggregated score + the 3 articles driving it.
"Compare English vs Chinese sentiment on TSMC — is there divergence?"
→ Calls
compare_languages("TSM"), returns side-by-side plus divergence score. If|divergence| > 0.3, that's a notable cross-market signal.
"Sentiment on my watchlist: NVDA, AMD, AVGO, TSM, ASML, INTC, MU."
→ Calls
get_sentiment_batch(["NVDA","AMD",...]), returns all at once.
"Why is NVDA down today? Pull sentiment + latest articles."
→ Calls
get_sentiment("NVDA")and Claude summarises the rationales.
Praesentire's pricing (the API behind this MCP):
| Tier | Requests / day | Price |
|---|---|---|
| Free | 100 | $0 forever |
| Hobby | 1,000 | $19 / mo |
| Pro | 10,000 | $99 / mo |
| Business | 100,000 | $499 / mo |
Each tool call = 1 request. get_sentiment_batch with N tickers = N requests.
Env vars:
| Var | Default | Description |
|---|---|---|
PRAESENTIRE_API_KEY | (required) | Your API key (pr_...). Get one at https://praesentire.com/dashboard. |
PRAESENTIRE_BASE_URL | https://praesentire.com/api/v1 | Override if self-hosting / testing against staging. |
The MCP server maps Praesentire's HTTP errors to LLM-friendly messages:
MIT