An MCP server that delivers cryptocurrency sentiment analysis to AI agents, leveraging Santiment social-media and news data.
https://github.com/kukapay/crypto-sentiment-mcpStop building sentiment analysis from scratch. This MCP server plugs Santiment's aggregated social media and news data directly into your AI workflows, giving you real-time crypto sentiment tracking in minutes, not months.
You know the drill: scraping Twitter, parsing Discord chatter, aggregating Reddit posts, cleaning noise, building sentiment models. Weeks of work just to get basic social signals. This MCP server connects your AI agent to Santiment's processed data pipeline instead - social volume, sentiment balance, trending words, and dominance metrics across major crypto assets.
One API key, five powerful tools, zero data engineering headaches.
Sentiment Balance: Get the positive/negative ratio for any asset over custom timeframes. Not just raw sentiment scores - actual balance metrics that matter for decision-making.
Social Volume Tracking: Total mention counts with spike detection. Set your own thresholds to catch viral moments before they move markets.
Social Dominance: See what percentage of crypto discussions any asset owns. Perfect for identifying when coins are getting outsized attention.
Trending Word Discovery: Surface the terms driving crypto conversations. "Halving," "defi," "burning" - catch narrative shifts as they happen.
Alert System: Automated spike detection with configurable thresholds. Get notified when social volume jumps 50%, 100%, or whatever threshold you set.
Trading Signal Enhancement: Your AI can now factor social sentiment into trading analysis. "Bitcoin sentiment dropped 40% while social volume spiked 80% - potential fear-driven sell opportunity."
Narrative Tracking: Monitor how discussions around specific projects evolve. Track sentiment changes around protocol updates, partnerships, or regulatory news.
Market Timing: Detect when assets are getting unusual social attention before price movements. Social volume often precedes price action.
Content Strategy: Content creators can track which crypto topics are gaining social traction and time their content accordingly.
Risk Management: Portfolio managers can monitor social sentiment deterioration as an early warning system for position sizing.
Setup takes under 5 minutes. Clone the repo, grab a Santiment API key (free tier available), add one environment variable to your MCP client config. That's it.
Your AI agent can immediately start asking questions like:
The server handles all the Santiment API complexity, rate limiting, and data formatting. Your agent gets clean, structured responses ready for analysis or decision-making.
Building comparable sentiment analysis would require: social media API access, data cleaning pipelines, sentiment model training, infrastructure for real-time processing, and ongoing maintenance. Plus you'd still lack Santiment's cross-platform aggregation and professional-grade sentiment scoring.
This MCP server gives you institutional-quality social data through a simple interface. Focus on building features that matter to your users instead of reinventing social sentiment infrastructure.
Perfect for traders, portfolio managers, content creators, and anyone building crypto-focused AI applications who needs social sentiment without the engineering overhead.