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kukapay/crypto-sentiment-mcp
๐ โ๏ธ - Cryptocurrency sentiment analysis
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claude mcp add crypto-sentiment-mcp -- npx -y crypto-sentiment-mcp
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- Star count
- 47 โ ยท kukapay/crypto-sentiment-mcp ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
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- collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
- Harvest history
- first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 10 sources
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- score 1,003 ยท 47 โ ยท 10 sources ยท mcp
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kukapay/crypto-sentiment-mcp๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.Third-party quality signals
Crypto Sentiment MCP Server
ไปฅไธๆๅฝ่ช่ฏฅไปๅบ็ README๏ผ็ๆฎต๏ผ ยท ๅจ GitHub ่ฏปๅฎๆด README โ
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
| 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 |
Prerequisites
- **Python**: 3.10 or higher
- **Santiment API Key**: Obtain a free or paid key from Santiment.
Installation
1. **Clone the Repository**:
2. **Configure Client**:
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."
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
| 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 |
Prerequisites
- **Python**: 3.10 or higher
- **Santiment API Key**: Obtain a free or paid key from Santiment.
Installation
1. **Clone the Repository**:
2. **Configure Client**:
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."
- Source
- awesome ยท https://github.com/kukapay/crypto-sentiment-mcp
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