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Showing content from https://github.com/kukapay/crypto-sentiment-mcp below:

kukapay/crypto-sentiment-mcp: An MCP server that delivers cryptocurrency sentiment analysis to AI agents.

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.

Tool Name Description Parameters get_sentiment_balance Get the average sentiment balance for an asset over a specified period. asset: str, days: int = 7 get_social_volume Fetch the total number of social media mentions for an asset. asset: str, days: int = 7 alert_social_shift Detect significant spikes or drops in social volume compared to the previous average. asset: str, threshold: float = 50.0, days: int = 7 get_trending_words Retrieve the top trending words in crypto discussions, ranked by score over a period. days: int = 7, top_n: int = 5 get_social_dominance Measure the percentage of crypto media discussions dominated by an asset. asset: str, days: int = 7
  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"
          }
        }
      }
    }
    

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

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


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