MCP server for Praesentire — bilingual financial news sentiment (English + Traditional Chinese) as a Claude tool
SaferSkills independently audited Praesentire Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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
# Server starts on stdio. Press Ctrl+C to stop.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?" → Callscompare_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
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.