# soccer-news-mcp

> Use this tool when you need to analyze soccer news with advanced natural language processing capabilities, leveraging vector embeddings and sentiment analysis to extract insights from text data. It solves problems related to news categorization, sentiment tracking, and entity disambiguation, providing outputs such as categorized news articles and sentiment scores. It accepts text inputs and outputs analyzed data, utilizing a PostgreSQL database and local ML models for efficient processing.

Canonical page: https://skillsregistry.net/skills/mfdii-soccer-news-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mfdii-soccer-news-mcp

## Description

MCP server for soccer news with RAG (vector embeddings) and sentiment analysis. Uses PostgreSQL+pgvector and local ML models.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/mfdii/soccer-news-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": "mfdii-soccer-news-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mfdii-soccer-news-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mfdii-soccer-news-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