Bilingual financial news sentiment (English + Traditional Chinese) scored by Claude.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
MCP server for Praesentire β 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) + ηΆζΏζ₯ε ±, ε·₯εζε ±, Anue ι δΊ¨ (ηΉδΈ). Updated every 10 minutes.
You need a Praesentire API key. Sign up free β 100 req/day forever, no credit card.
Add to .mcp.json in your project root:
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):
Restart Claude Desktop. The three tools will appear in the connectors list.
Once installed, Claude can answer things like:
"What's the news sentiment on NVDA right now?" β Calls
get_sentiment("NVDA"), returns aggregated score + the 3 articles driving it.
"Compare English vs Chinese sentiment on TSMC β is there divergence?" β 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." β Calls
get_sentiment_batch(["NVDA","AMD",...]), returns all at once.
"Why is NVDA down today? Pull sentiment + latest articles." β 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
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