io.github.Etha0916/praesentire-mcp

Analyze bilingual financial news sentiment scores for market insight and trend tracking.

Source

Official Registry

Updated

2026-06-16

// securityCaution

Requires keys· PRAESENTIRE_API_KEY
Runs locally
Official / curated
Open source
Community-trusted

Running security audit…

Credentials
Network egress
Code execution
Data access
Supply chain

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "io.github.Etha0916/praesentire-mcp" MCP server from askskill:
Run: claude mcp add 'io-github-etha0916-praesentire-mcp' -- npx -y praesentire-mcp

// examples

Assess sentiment of a single financial news article

Prompt

Analyze the sentiment of this financial news article. Summarize the key points in English and Traditional Chinese, and provide a sentiment score with reasoning: {article content}

Expected

Returns bilingual summaries, a sentiment score, and explanations of the key statements driving the score.

Compare market sentiment across multiple news articles

Prompt

Compare the sentiment of the following three financial news articles. Output a score for each, an overall market sentiment conclusion, and present the results in English and Traditional Chinese: {article list}

Expected

Returns per-article sentiment scores, an overall sentiment summary, and bilingual comparative conclusions.

Monitor sentiment around a specific company

Prompt

Analyze these recent financial news items about a company. Create an English and Traditional Chinese report including sentiment scores, major bullish and bearish factors, and possible market impact: {company news}

Expected

Returns a bilingual sentiment report summarizing company news tone, key drivers, and potential impact.