Firecrawl MCP Server
mendableai/firecrawl-mcp-server
A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context.
Crypto Sentiment MCP
kukapay/crypto-sentiment-mcp
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.
Install
Client configuration
{
"mcpServers": {
"crypto-sentiment-mcp": {
"command": "uv",
"args": [
"--directory",
"path/to/crypto-sentiment-mcp",
"run",
"main.py"
],
"env": {
"SANTIMENT_API_KEY": "<SANTIMENT_API_KEY>"
}
}
}
}Environment variables
SANTIMENT_API_KEY- GitHub stars
- 9
- Author
- @kukapay
- Category
- Research & Data, Finance
- License
- MIT
- Updated
- Oct 6, 2026
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 (5)
get_sentiment_balance
Get the average sentiment balance for an asset over a specified period.
get_social_volume
Fetch the total number of social media mentions for an asset.
alert_social_shift
Detect significant spikes or drops in social volume compared to the previous average.
get_trending_words
Retrieve the top trending words in crypto discussions, ranked by score over a period.
get_social_dominance
Measure the percentage of crypto media discussions dominated by an asset.
Details on this page are taken from the project's README. Open README
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