# Crypto Sentiment (Santiment)

> Use this tool when you need to analyze market sentiment and trends in the cryptocurrency space. It solves problems such as identifying emerging trends, monitoring social media buzz, and measuring asset dominance by providing real-time insights through aggregated social media and news data. The tool takes in cryptocurrency specifications and time-series data as inputs and outputs sentiment balance, social media mentions, volume shifts, and trending topics, making it ideal for traders, analysts, and researchers seeking data-driven market intelligence.

Canonical page: https://skillsregistry.net/skills/kukapay-crypto-sentiment-santiment  
JSON: https://api.skillsregistry.net/v1/skills/kukapay-crypto-sentiment-santiment

## Description

Crypto Sentiment MCP Server delivers cryptocurrency sentiment analysis to AI agents by leveraging Santiment's aggregated social media and news data. Developed by kukapay, this server exposes five key tools that enable agents to retrieve sentiment balance for specific cryptocurrencies, monitor social media mentions, detect significant volume shifts, identify trending discussion topics, and measure an asset's dominance in crypto conversations. The implementation uses FastMCP and the Santiment API to fetch and process time-series data, making it particularly valuable for traders, analysts, and researchers who need real-time insights into market mood and emerging trends without leaving their AI assistant interface.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kukapay-crypto-sentiment-santiment)
- **Repository:** <https://github.com/kukapay/crypto-sentiment-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kukapay-crypto-sentiment-santiment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kukapay-crypto-sentiment-santiment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kukapay-crypto-sentiment-santiment/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
