# SentinelScan Cloud MCP Server

> Use this tool when you need to analyze text sentiment remotely, solving problems such as opinion mining, customer feedback analysis, and emotional tone detection. It takes text input and returns sentiment analysis results through the SentinelScan API. Ideal for use cases requiring automated sentiment analysis in cloud-based applications.

Canonical page: https://skillsregistry.net/skills/io-github-vndpal-sentinelscan-cloud-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-vndpal-sentinelscan-cloud-mcp

## Description

Remote MCP server that returns sentiment analysis results from SentinelScan API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.vndpal%2Fsentinelscan-cloud-mcp)

## Use it

MCP endpoint published by the skill: `https://sentinelscan-cloud-mcp.vercel.app/mcp`

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": "io-github-vndpal-sentinelscan-cloud-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-vndpal-sentinelscan-cloud-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-vndpal-sentinelscan-cloud-mcp/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