positive-search-mcp
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- AlicenseBqualityFmaintenanceReal-time cryptocurrency news, analysis, and price predictions for AI agents. 5 tools to search 50,000+ articles across 12 categories, filter by 120+ asset tickers, and access content with built-in attribution. Free with attribution. SSE and Streamable HTTP transport.4MIT

Stelar Signals MCPofficial
AlicenseAqualityBmaintenanceEnables AI agents to access crypto market signals including regime, sentiment, price, risk, and text tools like summarization and fact-checking, backed by a live production-grade classifier.633MIT- AlicenseNot gradedqualityDmaintenanceReal-time crypto news aggregation with sentiment scores and token mentions, enabling market analysis and trading signals via pay-per-call micropayments.MIT
- AlicenseAqualityBmaintenanceProvides news sentiment scores and media volume trends for any topic, enabling AI assistants to analyze whether news coverage is positive or negative.31MIT
- AlicenseNot gradedqualityCmaintenanceProvides news sentiment scores, media volume trends, and historical coverage data for any topic, enabling AI to analyze positive or negative coverage over time.1MIT
- AlicenseNot gradedqualityDmaintenanceProvides real-time crypto market sentiment analysis for BTC, ETH, and SOL using Google Gemini 2.0, enabling AI agents to get actionable alpha.31MIT
TDQS
Scored across 5 tools
Each tool targets a clearly distinct aspect: current sentiment, historical data, narrative details, source headlines, and cross-asset comparison. No two tools overlap in purpose, and descriptions explicitly differentiate when to use each, such as get_sentiment for the current reading vs. get_narratives for full stories.
All tool names follow a consistent verb_noun pattern in snake_case: get_sentiment, get_history, get_narratives, get_sources, and compare_assets. The first four use 'get_' and the last uses 'compare_', which is still a verb_noun pattern, maintaining a predictable and uniform style.
Five tools is well-scoped for this sentiment analysis server covering three assets. Each tool adds meaningful functionality without redundancy, and the count fits comfortably within the ideal 3-15 range for a focused API.
The tool surface covers all major aspects of sentiment analysis: current reading, historical trends, narrative breakdown, source evidence, and multi-asset comparison. Given the stated domain (news-sentiment for BTC, GOLD, OIL), there are no obvious gaps—the descriptions even mention users can follow up with more granular calls as needed.