What is Crypto Sentiment Mcp

Crypto-sentiment-mcp is an MCP server that provides cryptocurrency sentiment analysis to AI agents, utilizing aggregated social media and news data from Santiment to gauge market mood and identify emerging trends.

Use cases

Use cases include monitoring market sentiment for investment decisions, analyzing social media trends to predict price movements, and providing insights for traders and analysts based on social media discussions.

How to use

To use crypto-sentiment-mcp, you can call various tools such as get_sentiment_balance to get sentiment data, get_social_volume to track mentions, and alert_social_shift to detect significant changes in social media discussions about specific cryptocurrencies.

Key features

Key features include sentiment analysis for cryptocurrencies, social volume tracking, measuring social dominance in discussions, and identifying trending words in the crypto space.

Where to use

Crypto-sentiment-mcp can be used in financial analysis, trading strategies, market research, and by AI agents that require sentiment data to make informed decisions in the cryptocurrency market.

Crypto Sentiment MCP Server

An MCP server that delivers cryptocurrency sentiment analysis to AI agents, leveraging Santiment’s aggregated social media and news data to track market mood and detect emerging trends.

Features

• Sentiment Analysis: Retrieve sentiment balance (positive vs. negative) for specific cryptocurrencies.
• Social Volume Tracking: Monitor total social media mentions and detect significant shifts (spikes or drops).
• Social Dominance: Measure the share of discussions an asset occupies in crypto media.
• Trending Words: Identify the most popular terms trending in cryptocurrency discussions.

Tools

Prerequisites

• Python: 3.10 or higher
• Santiment API Key: Obtain a free or paid key from Santiment.

Installation

1. Clone the Repository:

   git clone https://github.com/kukapay/crypto-sentiment-mcp.git
   cd crypto-sentiment-mcp
   

2. Configure Client:

   {
     "mcpServers": {
       "crypto-sentiment-mcp": {
         "command": "uv",
         "args": ["--directory", "path/to/crypto-sentiment-mcp", "run", "main.py"],
         "env": {
           "SANTIMENT_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

Examples

Below are examples of natural language inputs and their corresponding outputs when interacting with the server via an MCP-compatible client:

• Input: “What’s the sentiment balance for Bitcoin over the last week?”

  • Output: “Bitcoin’s sentiment balance over the past 7 days is 12.5.”

• Input: “How many times has Ethereum been mentioned on social media in the past 5 days?”

  • Output: “Ethereum’s social volume over the past 5 days is 8,432 mentions.”

• Input: “Tell me if there’s been a big change in Bitcoin’s social volume recently, with a 30% threshold.”

  • Output: “Bitcoin’s social volume spiked by 75.0% in the last 24 hours, from an average of 1,000 to 1,750.”

• Input: “What are the top 3 trending words in crypto over the past 3 days?”

  • Output: “Top 3 trending words over the past 3 days: ‘halving’, ‘bullrun’, ‘defi’.”

• Input: “How dominant is Ethereum in social media discussions this week?”

  • Output: “Ethereum’s social dominance over the past 7 days is 18.7%.”

License

This project is licensed under the MIT License - see the LICENSE file for details.