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Crypto Sentiment
Model Context Protocol moderate risk

Crypto Sentiment

Analyzes crypto sentiment using Santiment data, providing tools to track social volume, sentiment balance, trending words, and social dominance for AI agents.

Connections & Capabilities

Connects To

GitHub

Capabilities

read

Quickstart

Config

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

Exposed MCP Tools (5)

safe
get_sentiment_balance

Retrieves the average sentiment balance for a specified cryptocurrency over a given period.

Read-only operation; retrieves data without modifying any system state.

safe
get_social_volume

Fetches the total number of social media mentions for a cryptocurrency.

Read-only operation; retrieves data without modifying any system state.

safe
alert_social_shift

Detects significant spikes or drops in social volume for a cryptocurrency.

Read-only operation; analyzes data and reports anomalies without modifying any system state.

safe
get_trending_words

Retrieves the top trending words in cryptocurrency discussions.

Read-only operation; retrieves data without modifying any system state.

safe
get_social_dominance

Measures the percentage of crypto media discussions dominated by a specific cryptocurrency.

Read-only operation; retrieves data without modifying any system state.

Safety Assessment

The server primarily provides read-only access to cryptocurrency sentiment data, making it relatively safe. However, the risk of API key compromise and reliance on an external API should be considered. It is safe to use when the API key is securely managed and the limitations of sentiment analysis are understood. Risky scenarios involve using the data for automated trading without proper validation and risk management.

  • Read-only access to cryptocurrency sentiment data.
  • No direct write or delete operations on external systems.
  • Relies on a third-party API (Santiment) for data retrieval.
  • Requires an API key for authentication, limiting unauthorized access.
  • Potential for information leakage if the API key is compromised.
  • Dependence on the Santiment API introduces a single point of failure.
  • Misinterpretation of sentiment data could lead to incorrect trading decisions by agents.
  • No input sanitization is mentioned, which could lead to prompt injection if not handled correctly by the client.
Crypto Sentiment Review, Pricing & Alternatives (2026) | Flaex AI