About praesentire-mcp
praesentire-mcp connects Claude to bilingual financial-news sentiment for individual tickers or batches of up to 50. It includes English and Traditional Chinese comparisons alongside scores, confidence, and article rationales.
Key features
- 01Ticker sentiment scores and confidence
- 02Batch analysis for up to 50 tickers
- 03English–Traditional Chinese comparison
- 04Recent articles with rationales
Use cases
- 01Checking news sentiment for a ticker
- 02Reviewing sentiment across a watchlist
- 03Comparing sentiment across English and Chinese news
MCP support
The MCP server exposes three tools: single-ticker sentiment, batch sentiment, and language comparison. Clients use a Praesentire API key.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y praesentire-mcpPRAESENTIRE_API_KEYSecretYour Praesentire API key. Free at https://praesentire.com/signup.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
3Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| ticker | string | Yes | Stock ticker symbol (e.g. NVDA, TSM, AAPL). 1-10 letters, case-insensitive. Coverage skews to US large-caps and Taiwan-listed semis. |
| window_hours | number | No | Rolling time window in hours. Default 24, max 168 (7 days). |
Details
From the project READMEpraesentire-mcp
MCP server for Praesentire — bilingual financial news sentiment as a Claude tool.
What Claude gets
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.
Install
You need a Praesentire API key. Sign up free — 100 req/day forever, no credit card.
Claude Code
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?"
Claude Desktop / Cowork
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.
Local test
PRAESENTIRE_API_KEY=pr_your_key npx praesentire-mcp
# Server starts on stdio. Press Ctrl+C to stop.
Example prompts
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.
Pricing
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.
Configuration
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. |
Error handling
The MCP server maps Praesentire's HTTP errors to LLM-friendly messages:
- 401 → "API key invalid or revoked. Create a new one at praesentire.com/dashboard."
- 429 → "Daily limit reached for tier X. Upgrade at praesentire.com/pricing or wait for reset."
- 400 → Specific validation error (invalid ticker, bad params).
- 5xx → "Praesentire API error N. Try again."
Links
- 🏠 praesentire.com
- 📖 API docs
- 🔑 Dashboard
- 🐛 Issues
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.