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Etha0916

praesentire-mcp

by Etha0916

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PRAESENTIRE_API_KEYYesYour Praesentire API key (pr_...). Get one at https://praesentire.com/dashboard.
PRAESENTIRE_BASE_URLNoOverride base URL for self-hosting or staging. Default: https://praesentire.com/api/v1https://praesentire.com/api/v1

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_sentimentA

Get aggregated financial news sentiment for a single stock ticker over a rolling time window. Returns an -1 to +1 average score, confidence, article count, bullish/neutral/bearish distribution, and up to 3 latest articles with one-line rationale each. Sources: Reuters, Bloomberg, Yahoo Finance (English) + 經濟日報, 工商時報, Anue 鉅亨 (Traditional Chinese). Useful for: gauging market mood before opening a position, monitoring sentiment shifts post-earnings, explaining unusual price moves with news context.

get_sentiment_batchA

Get sentiment for multiple tickers in one call. More efficient than calling get_sentiment N times when you have a watchlist. Each ticker counts as one request against the daily rate limit (so 10 tickers = 10 requests billed). latest_3 articles are omitted from each result to keep the response small — call get_sentiment for the full payload on any specific ticker.

compare_languagesA

Compare English vs Traditional Chinese news sentiment for a ticker side-by-side, plus a divergence score. Designed for cross-market arbitrage signal detection — US press (Reuters/Bloomberg) often leads Taiwan/Asia press by hours. A large divergence (|divergence| > 0.3) often precedes mood shifts on Asia-listed semis or US names with strong TW supply chain exposure. Returns: english + chinese aggregates (article_count, average_score, confidence, distribution) and divergence = english.average_score - chinese.average_score. Positive divergence = English more bullish; negative = Chinese more bullish.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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