Crypto Sentiment MCP Server
An MCP server that delivers cryptocurrency sentiment analysis to AI agents.
kukapay
Tools
get_sentiment_balance
Retrieve the sentiment balance (sentiment_balance_total) for a given asset. Parameters: - asset (str): The cryptocurrency slug (e.g., "bitcoin", "ethereum"). Required. - days (int): Number of days to calculate the average sentiment balance, defaults to 7. Usage: - Use this tool to get the average sentiment balance (positive minus negative sentiment) over a period. Returns: - A string with the average sentiment balance (e.g., "Bitcoin's sentiment balance over the past 7 days is 12.5").
get_social_volume
Retrieve the total social volume (social_volume_total) for a given asset. It calculates the total number of social data text documents that contain the given search term at least once. Examples of documents are telegram messages and reddit posts. Parameters: - asset (str): The cryptocurrency slug (e.g., "bitcoin", "ethereum"). Required. - days (int): Number of days to sum the social volume, defaults to 7. Usage: - Call this tool to get the total number of social media mentions for an asset over a period. Returns: - A string with the total social volume (e.g., "Bitcoin's social volume over the past 7 days is 15,000 mentions").
alert_social_shift
Detect significant shifts (spikes or drops) in social volume (social_volume_total) for a given asset. Parameters: - asset (str): The cryptocurrency slug (e.g., "bitcoin", "ethereum"). Required. - threshold (float): Minimum percentage change (absolute value) to trigger an alert, defaults to 50.0 (i.e., 50%). - days (int): Number of days to analyze for baseline volume, defaults to 7. Usage: - Call this tool to check if the latest social volume has significantly spiked or dropped compared to the previous average. Returns: - A string indicating if a shift occurred (e.g., "Bitcoin's social volume spiked by 75.0% in the last 24 hours" or "Bitcoin's social volume dropped by 60.0% in the last 24 hours").
get_trending_words
Retrieve the top trending words in the crypto space over a specified period, aggregated and ranked by score. Parameters: - days (int): Number of days to analyze trending words, defaults to 7. - top_n (int): Number of top trending words to return, defaults to 5. Usage: - Call this tool to get a list of the most popular words trending in cryptocurrency discussions, ranked across the entire period. Returns: - A string listing the top trending words (e.g., "Top 5 trending words over the past 7 days: 'halving', 'bullrun', 'defi', 'nft', 'pump'").
get_social_dominance
Retrieve the social dominance (social_dominance_total) for a given asset. Social Dominance shows the share of the discussions in crypto media that is referring to a particular asset or phrase. Parameters: - asset (str): The cryptocurrency slug (e.g., "bitcoin", "ethereum"). Required. - days (int): Number of days to calculate average social dominance, defaults to 7. Usage: - Call this tool to get the percentage of social media discussion dominated by the asset. Returns: - A string with the average social dominance (e.g., "Bitcoin's social dominance over the past 7 days is 25.3%").
README
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
| 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
-
Clone the Repository:
git clone https://github.com/kukapay/crypto-sentiment-mcp.git cd crypto-sentiment-mcp -
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.
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